---------------------------------------------------------------------- title: "Blockchain data that works as fast as your agents" description: "One intelligent interaction\\. Your agent asks once, gets exactly the on\\-chain data it needs, and acts\\. No key juggling, no stitching across services, no waiting on a human to approve the bill\\." source: "https://onesource.io/" last_updated: 2026-10-22T19:48:07.283Z ---------------------------------------------------------------------- OneSource is a blockchain data platform built for AI agents. It offers three ways to reach the chain: REST API, MCP, and Flex. It supports per-call x402 stablecoin micropayments and a flat $20/month REST API key. ## Quick example // atomic REST endpoint, one call GET /v1/balance?addr=0x5a3…f04c // → $0.001 to $0.010, x402 pay-per-call ## Calls to action For humans: - Read the docs: https://docs.onesource.io - Run the MCP server locally: https://onesource.io/mcp - Talk to the team about Flex: https://onesource.io/contact For agents: - Download the full schema: https://docs.onesource.io/llms-full.txt ## Surfaces Three ways to reach the chain. One narrative behind them. - One API to call, instead of a ring full of keys to manage. - One predictable payment, whether per call or per month. - One reliable set of documentation, rather than hallucinations and manual fixes. - One hub to train your agent to give you the blockchain answers you seek. Pick the surface that fits the job. Combine them when the job demands more. ### REST API Atomic REST endpoints, listed where agents shop. Single purpose each. Self-documented metadata per marketplace. Each endpoint does one thing well: get a balance, fetch a transaction, count an event in a window. They're listed on x402 Bazaar, AgentCash, and Claw Hub. Your agent finds the endpoint, calls it, pays for that call. - **Pricing:** $0.001 to $0.010 / call via x402, or $20 / month flat API key. - **Best for:** simple, fast, auditable agent actions where the agent itself decides what to call. ### MCP server Run our Model Context Protocol server locally. `npm i @one-source/mcp` sits between your agent and our REST API. Your agent's LLM reads our schema, picks the endpoints it needs, and orders the calls. We do not orchestrate at this layer. Your agent does. - **Best for:** agent-builders who already have a strong reasoning model and want it to drive the API surface. ### Flex Custom Web3 builds for real businesses. Proprietary data, on-chain records, one query that collapses six. When you have proprietary data that needs to live next to on-chain records, Flex is the surface. Custom GraphQL endpoint, schema designed around your data model, server-side feathering of off-chain and on-chain data. One GraphQL query collapses what would otherwise be six REST round-trips. Block Doctors validation included. - **CTA:** Talk to the Flex team at https://onesource.io/contact. - **Best for:** enterprises with compliance, traceability, or supply-chain requirements that a self-serve API does not solve. ## How it works One intelligent interaction is an architecture, not a tagline. The pieces below are how OneSource makes the three surfaces work for autonomous agents. ### 01: Payments Pay per call, not per seat. Most APIs assume a human signed up, gave a credit card, and gets a monthly bill. Your agent has none of those. The x402 gateway lets your agent pay in stablecoins, per call, from its own wallet, with no human in the loop. The REST API can also run on a flat $20 per month API key when steady usage makes that simpler. ### 02: Discovery Discoverable by agents, readable by their LLMs. Our schema lives at https://docs.onesource.io/llms-full.txt, the emerging standard for AI-readable API documentation. Combined with the MCP server, your agent's coding assistant can find OneSource, understand the schema, and generate correct queries without manual translation. You stop debugging hallucinated field names. ### 03: Trust Two trust tiers, matched to the surface. Different jobs need different trust mechanisms; we don't pretend one fits all. | Surface | Trust mechanism | What you can tell your agent | |---|---|---| | REST API · MCP server | Direct chain reads, no transformation. | "Data straight from the chain." | | Flex | Server-side feathering plus block-by-block validation. | "Validated and attested by Block Doctors." | ### 04: Speed Latency in milliseconds. Filtering, normalization, and computation happen server-side, before the data reaches your agent. Fewer round-trips, less code to maintain, and faster decisions when speed actually matters. ## Why OneSource: the architectural fit In 2007, mobile forked the web. The first developers to build for the new client defined the next decade. In 2026, AI agents are the new client. They do not browse, they query. They do not subscribe, they pay per call. They do not read documentation, they discover APIs through MCP and call them directly. Most blockchain APIs were built for the old client. Adding an MCP wrapper to a REST stack does not change what the API was built for. OneSource was built for the new client from the architecture up. The REST API and x402 cover fast, direct agent actions: atomic endpoints your agent calls on its own terms. MCP handles discovery. Your agent's model reads our schema and drives the calls without you writing the routing logic. You choose the access pattern that fits the job; we make sure it is credible at what it does. ### Two forks, twenty years apart - 2007: Mobile forks the web. Native SDKs replace adapted desktop sites. - 2026: Agents fork the API. MCP and x402 replace dashboard-and-key SaaS. The shape of the API has to follow the shape of the client. Each time the client changes, the winners are the platforms that built for the new shape, not the ones that wrapped the old one. ## Frequently asked ### What is the difference between the REST API and MCP? The REST API gives your agent atomic endpoints: it picks the call and owns the logic. The MCP server goes one level up: your agent's LLM reads our schema and figures out which calls to make and in what order. Same blockchain data, two different levels of agent control. ### Do I need an API key, or can my agent pay per call? Both. Use a $20 per month API key if your usage is steady. Use x402 or MPP for per-call payments when you want your agent to scale on demand without a subscription. The MCP server supports all three. ### What chains do you support? Today the API covers Ethereum mainnet, Sepolia, and Robinhood Chain. ### How do I know the data is right? For the REST API and the MCP server, you are reading the chain directly. There is nothing for us to validate. For Flex, where we feather on-chain and off-chain data, Block Doctors validate block by block before the data reaches you. Reorgs caught, indexing gaps flagged, chain-client inconsistencies corrected before they propagate into your agent's decisions. ### My agent already speaks MCP. What do I do first? Drop in our MCP server, point it at our schema, and let your agent's LLM take it from there. The docs cover the per-call x402 path and the flat $20 per month API key option. ---------------------------------------------------------------------- title: "Flex API" description: "A custom\\-built API solution designed for projects with advanced blockchain and web3 data needs—crafted to meet unique technical demands\\." source: "https://onesource.io/solutions/flex-api" last_updated: 2025-12-07T12:46:44.000Z ---------------------------------------------------------------------- ## Custom API Development\. Unmatched Flexibility\. Enterprise Support\. Tailored API solutions for complex blockchain data needs, built with our expert engineers\. Enjoy 99\.9% uptime, lightning\-fast response times, and scalable infrastructure that grows with you\. [Get in touch](https://bpcontent.looksee.xyz/one-source-page/contact/) ## OneSource Flex gives you total control over how you retrieve, structure, and manage blockchain data — so your application can scale seamlessly, no matter how complex your use case\. ## From building to scaling, with you at every step ### Complete Flexibility Unlock fully customized Web3 data infrastructure to form your projects own unique view of the blockchain\. ### Deep Expertise Get direct access to a team of crypto\-native engineers who understand the unique needs of your application\. ### Long\-Term Partnership Ongoing refinements ensure your infrastructure evolves alongside your project’s needs\. ## How it Works 1\. **In Depth Consultation** — Work directly with a blockchain specialist to design a solution tailored to your specific needs\. 2\. **Custom API Development** — An API is developed specifically for your use case—customized for performance, scalability, and flexibility\. 3\. **Ongoing Collaboration** — Adaptability is built in—ensuring your solution evolves with technical and user needs\. ## See It in Action With Flex API, you have all the perks of sophisticated engineering without the headache\. Don’t just take our word for it—learn how our clients are using the OneSource platform to supercharge their dApps\. ### Blockticity By integrating with the OneSource platform, Blockticity reduced their data providers from three to just one—simplifying their operations\. [Learn More](https://bpcontent.looksee.xyz/one-source-post/powering-trust-at-scale-how-blockticity-uses-onesource-to-bring-ai-ready-authenticity-to-global-trade/) ## Let’s Build Something Together Reach out to our team to explore flexible API solutions crafted for complex blockchain data challenges\. *Connect form* ## FAQs ### 1\. How do I know if I need a custom solution? If your project requires handling complex, non\-standard datasets or has specialized performance needs, a custom solution can offer the control and flexibility needed for success\. ### 2\. What kind of support will I receive post\-launch? You’ll receive 24/7 technical support, ongoing infrastructure maintenance, and a dedicated account manager to ensure your project’s continued success\. ### 3\. How long will it take to implement a custom solution? The timeline varies depending on the complexity of your project, but we prioritize working closely with clients to establish clear milestones and ensure timely and efficient implementation\. ### 4\. Can additional chains be supported? Absolutely\! Just let us know which blockchain\(s\) you need, and we’ll ensure seamless integration to meet your project’s requirements\. ---------------------------------------------------------------------- title: "FAQs" description: "Got a question about web3 infrastructure or our OneSource API? We've probably answered it here\\! Check our web3 FAQs or get in touch\\." source: "https://onesource.io/faqs" last_updated: 2026-08-26T16:29:33.000Z ---------------------------------------------------------------------- ### What is the difference between Skills, MCP, and M10? Skills are atomic REST endpoints; your agent picks them\. The MCP server lets your agent's LLM discover and combine Skills automatically\. M10 takes a step further: you give it a natural\-language question, and it figures out the data path itself, including third\-party sources where they fit\. Same data, different levels of orchestration\. ### Do I need an API key, or can my agent pay per call? Both\. Use a $20 per month API key on Skills if your usage is steady\. Use x402 per\-call payments if you want your agent to scale on demand without a subscription\. The MCP server uses the same options\. ### What chains do you support? Today the API covers Ethereum mainnet, Sepolia, and Robinhood Chain. ### How do I know the data is right? For Skills and the MCP server, you are reading the chain directly\. There is nothing for us to validate\. For M10 and Flex, where we orchestrate or feather data, Block Doctors validate block by block before the data reaches you\. Reorgs caught, indexing gaps flagged, chain\-client inconsistencies corrected before they propagate into your agent's decisions\. ### My agent already speaks MCP\. What do I do first? Drop in our MCP server, point it at our schema, and let your agent's LLM take it from there\. The docs cover the per\-call x402 path and the flat $20 per month API key option\. ---------------------------------------------------------------------- title: "About" description: "OneSource is a powerful web3 data, API and infrastructure platform that streamlines blockchain development\\. Build decentralized apps faster\\!" source: "https://onesource.io/about" last_updated: 2025-11-18T07:07:23.000Z ---------------------------------------------------------------------- ## Building the Foundation of \{Web3\} Innovation OneSource, powered by Blockparty, is a powerful API and infrastructure platform that streamlines blockchain development, enabling teams to build decentralized apps faster with simplified access to Web3 data\. ## The Journey ### Blockparty The OneSource API and infrastructure platform was born from Blockparty, an innovation hub and incubator for Web3 applications\. ### Blockchain space In 2018, we embarked on a journey to address the growing need for scalable and reliable infrastructure in the blockchain space\. ### Platform What began as an internal indexing solution to support our own Web3 projects quickly evolved into a robust foundation for powering a wide range of decentralized applications\. ### Optimization Early initiatives like NFT Protocol and the OnChain Brokerage System served as live testing grounds, allowing us to refine the technology, strengthen performance, and validate its value across diverse scenarios\. ### Yeeah OneSource was born\. ### Innovation Today, the OneSource platform powers the next generation of decentralized apps—freeing developers to focus on innovation while we handle the complexities of blockchain data\. ## Built on Core Principles ### Innovation with purpose We believe in creating tools that drive meaningful progress in the Web3 ecosystem\. ### Integrity in every step From the reliability of our technology to the relationships we build, trust is the foundation of everything we do\. ### Excellence as a standard We strive for unparalleled quality in our products, support, and the value we deliver to our users\. ### A vision for decentralization Our work is fueled by the promise of a decentralized future where transparency and accessibility are at the core\. Vladislav Ginzburg "We designed the OneSource platform to give Web3 developers a reliable foundation to build on\. Our goal is to remove friction by delivering the infrastructure teams need to turn bold ideas into real\-world impact\." ## Join the most progressive team in blockchain The OneSource platform is continuously evolving to support the next generation of Web3 apps\. If you're passionate about decentralization and product\-driven innovation, we’d love to hear from you\. ---------------------------------------------------------------------- title: "Contact" description: "Building a dApp or need support with web3 infrastructure? Get in touch and unlock your Web3 potential with OneSource\\." source: "https://onesource.io/contact" last_updated: 2025-11-18T07:08:05.000Z ---------------------------------------------------------------------- ## Connect with The Team Building a dApp or need support? Get in touch and unlock your Web3 potential\. *Connect form* ---------------------------------------------------------------------- title: "Launch\\-Day Data for The Standard Reserve" description: "See how OneSource indexed The Standard Reserve before launch, delivering live protocol data, API endpoints, branch economics, and strategy tools\\." source: "https://onesource.io/blog/standard-reserve-launch-data-api" last_updated: 2026-10-22T19:47:17.000Z published: 2026-10-22T12:56:36.000Z author: "gisellezatonyl" tags: "Case Study" ---------------------------------------------------------------------- All 1,000 founding charters in The Standard Reserve sold out in about six minutes on September 14\.\[1\] The price fell from 1\.25 ETH to about 0\.80 ETH as the sale ran\. Then it was over\. A sale like that leaves no time to build the tools participants need\. The data has to be ready before the sale opens\. Ours was\. ## **A new protocol, and a lot of decisions** The Standard Reserve is a monetary protocol on Robinhood Chain, built around a token called STANDARD\. A founding charter is a soulbound NFT, meaning it can’t be sold or transferred\. Charter holders open branches by buying licenses in a daily auction\. Each branch earns a share of new STANDARD issuance\. STANDARD trades against ETH in a Uniswap pool\. That setup keeps putting the same questions to a participant: - Should I buy a license now, or wait for the price to fall? - How long until a branch pays back the cost of its license? - Is buying STANDARD a better bet than putting ETH into branches? - What would it cost me to exit? Each answer depends on numbers that change by the minute\. ## **How we were ready in time** The Standard Reserve was the second protocol we indexed on Robinhood Chain\. We had a full index for the first, Deepstate, a few days after its launch\. That was quick for an index, but the busiest days had already passed\. This time we aimed to have data before the first sale\. We didn’t start from scratch\. Our indexing pipeline already handled Robinhood Chain data\. The Deepstate build had also left us a written playbook for adding a new protocol\. Before The Standard Reserve’s contracts were public, we set up everything that doesn’t depend on how the protocol works: storage, API routes, payments, and the dashboard shell\. We waited on the protocol’s math\. The whitepaper left its launch parameters blank, and we didn’t want to guess\. That turned out to matter\. An earlier test deployment on the same chain priced its license auction on a straight line\. The live auction uses a half\-life curve\. On launch day, we read the real parameters from the contracts\[2\] and wired them in\. The dashboard and API were serving live data about 90 minutes before the public mint opened\. When the license auction opened that night, we checked our price model against its first sales\. ## **What you can do with it now** You can follow the protocol’s activity and the STANDARD market in the Uniswap pool\.\[3\] You can see how many days of issuance a branch needs to pay back its license at today’s price, and what you’d save by waiting 15 minutes, an hour, or four hours\.\[4\] That tool was live before the first license sold\. You can run your own plan\. Enter your budget and assumptions, and the planner shows how different strategies play out\. It reports outcomes and leaves the choice to you\.\[5\] You can also check exit costs and look up any wallet’s position\. We added those in the two days after launch\. An agent can use the same numbers\. Everything on the dashboard comes from our API, available over REST, through our MCP server, or pay per call with x402\.\[6\] If your analysis needs more than the dashboard shows, you can work directly with those endpoints or connect them to an LLM\. ## **Data first** A dashboard is one way to use protocol data\. An API call, an agent, or a question put to an LLM are others\. Each depends on the same thing underneath: complete, accurate data, ready when the protocol goes live\. That’s the part we focus on\. Building Deepstate and The Standard Reserve taught us how to have it ready in time: set up the groundwork early, take the math from the live contracts, and start from the decisions people need to make\. We’re applying those lessons to make protocol data easier to reach, however people choose to use it\. Launching a protocol? Talk to OneSource before your contracts deploy\. \[1\] [Genesis mint sales](https://api.onesource.io/standard/v1/genesis/mints)\. Charter contract: 0x69101f92427376FA80476A997d024cf9dC3EaEe \[2\] [Contract registry](https://api.onesource.io/standard/v1/addresses) \[3\] [Protocol dashboard](https://tsr.onesource.io/protocol) \[4\] [Branch calculator](https://tsr.onesource.io/decide/branch) \[5\] [Strategy planner](https://tsr.onesource.io/decide/plan) \[6\] [API reference](https://docs.onesource.io/standard/) ---------------------------------------------------------------------- title: "Aegis in Action: A Smart Approach to Payroll" description: "See how Aegis Smart Accounts automate crypto payroll with on\\-chain limits for payment amounts, approved addresses, schedules, and agent behavior\\." source: "https://onesource.io/blog/aegis-smart-account-crypto-payroll" last_updated: 2026-10-08T16:58:27.000Z published: 2026-10-07T16:54:14.000Z author: "gisellezatonyl" tags: "Case Study" ---------------------------------------------------------------------- It's Friday\. You're paying your star developer $250 for the week\. You type $2500 and hit send\. On the blockchain, that payment clears before you finish reading it back, and there's no bank to call\. Stablecoin payments are no longer limited to brave developers\. The [same week Stripe agreed to acquire OpenRouter, Ramp launched its own AI router\.](https://thenewstack.io/stripe-ramp-openrouter-router/) On\-chain spend is moving into ordinary business operations, which means more of us will be making that Friday mistake with real payroll\. Blockchain transactions don’t have to feel riskier than a bank when you couple regular payouts with behavioral limits coded directly on the blockchain\. [Project Aegis provides the guardrails](https://onesource.io/blog/project-aegis-ai-agent-guardrails-onesource) for a world where we can clearly track what our autonomous agents do with our finances\. ## The payroll problem In principle, payroll has clear guardrails of its own: pay this person a set amount of money on a regular basis\. Never more, never to anyone else\. In practice, it’s easy to accidentally send that payment to the office temp\. Or, worse, someone can attempt to prompt\-inject the agent to send funds it’s not supposed to\! Either way, when you’re operating on the blockchain, both flubbed and malicious  transactions are nearly instantaneous and impossible to recoup\. Payroll should be an ideal situation for an autonomous agent equipped with a crypto wallet\. A set recurring amount with clear instructions about who receives payments and when\. But trusting your agent to act on your behalf means crossing data entry with autonomy\. You need a way to see what it’s actually doing and stop accidents before they get built into the blockchain\. ## Fix your funds A member of the OneSource team built a dashboard to show the payroll promise in action\. He funded a wallet, used Aegis Smart Accounts to code the agent’s rules directly on the blockchain, then set it to disburse a fixed amount at a fixed frequency\. Because the guardrails keep the wallet from exceeding preset payment amounts or sending funds to an unapproved address, the transparency of the blockchain record can finally team with the regularity of payroll\.  The dashboard removes the need for trust in your agent: you see who gets paid how much per week, with a visible record of why, where, and how payments have failed\. Watch the full demo to see how we built a customized payroll interface using Aegis Smart Accounts\. And then [get your own key](https://projectaegis.ai/) to take payroll off your plate\. It’s Friday\. Everyone gets paid what they’re owed\. On the blockchain, accidents were prevented by the guardrails you set, and your dashboard notifies you they’re working\. You don’t hear anything else about it\. Aegis protects your assets in recurring, fixed distributions: remittances, allowance to your kids, funding an AI agent’s wallet for monthly AI inference spends\. We also test\-drove a system to enable your autonomous agents to service\-hop without blowing your budget, and a trustless family trust structure\. ---------------------------------------------------------------------- title: "Aegis in Action: Control AI Spend with On\\- Chain Behaviors" description: "See how Project Aegis uses on\\-chain guardrails to control AI agent spending, enforce model budgets, and manage Venice AI access through smart accounts\\." source: "https://onesource.io/blog/control-ai-agent-spending-on-chain-guardrails" last_updated: 2026-10-01T18:58:48.000Z published: 2026-09-30T13:57:58.000Z author: "gisellezatonyl" tags: "Announcement" ---------------------------------------------------------------------- Project Aegis enables our vision of a world where we clearly track and control what autonomous agents do on the blockchain\. Pairing its on\-chain guardrails with the ongoing hunt for AI and token discounts lets you put your agents to work on your finances: finding the balance between necessary model complexity and spending limits, so you don’t have to keep close tabs on your options\. ## Optimized bargain hunting AI models are advancing at a rate impossible to track manually\. One solution? You purchase the most premium model you can: it’s faster, and the extra cost might be worth life on the cutting edge\. Your agents are also most likely to default to the most expensive, most performant model available: it’s faster, and their only limit is your preset budget\. But not all our tasks require premium complexity and capacity\. [Benchmarks show](https://aimodelbenchmarks.com/) you can get near\-frontier performance for sometimes a tenth of what a comparable premium model would cost\. Your AI agent just has to know how to choose the right model for each task without blowing your budget\. Aegis guardrails offer the guidance your agent needs to service\-swap without overspending\. You pre\-select the available models, so your agent can still access a tool capable of completing its tasks\. Setting performance categories allows you to optimize model selection, enabling your agent to balance performance and budget\. And since your [Aegis Smart Account codes your enforcement directly on the blockchain](https://onesource.io/blog/project-aegis-ai-agent-guardrails-onesource), you don’t have to worry about jailbroken LLM prompts\. ## Venice: an open weights AI built for agents [Venice AI](https://venice.ai/) provides access to a library of open weights models built to provide an agent\-centric experience while maintaining data privacy\. Unlike other AI options, it doesn’t charge per API call; instead, users buy [Venice’s native token](https://venice.ai/lp/vvv), VVV, and stake their holdings to earn a share of daily inference capacity\. In effect, a user’s token stake is their subscription to the Venice model suite\. A [recent surge in VVV](https://techcrunch.com/2026/07/01/venice-ai-becomes-a-unicorn-with-65m-series-a-as-its-privacy-first-ai-platform-takes-off/) suggests that millions of users are seeking the benefits of open weights models: performance with lower API access costs\. Wrapping Venice access in an Aegis Smart Account enabled a OneSource team member to set automatic parameters and monitor their AI\-access spending in real time\. With a monthly cap coded directly into the blockchain, the Aegis account pulse\-checks for current spending and adjusts its choices as the spending threshold approaches\. Watch our demo to see how you can set up a simple dashboard to monitor your token spend:  ## Enabling bargain exploration In a playground next to a busy highway, kids tend to cluster at the end farthest from dangerous traffic\. But put a fence between the playground and the cars, and the kids explore the whole play space\. [The Playground Study](https://www.linkedin.com/feed/update/urn:li:activity:7498487698727436288/) shows that guardrails can act like permission slips: Aegis enables your agentic AI to explore the full playground of API keys and token\-access models to find the best AI package for your budget, in each moment\. It gives you the best deal for your budget without requiring you to regularly scan all the available options, and the Smart Account rails keep your AI within your hard boundaries\.  [Build your own budget guardrails with Project Aegis\.](https://projectaegis.ai/) And see the other ways Aegis can protect your assets\. We test drove a protected payroll system, and a trustless family trust structure\. ---------------------------------------------------------------------- title: "Bringing Robinhood Chain to Your Queries" description: "Query Robinhood Chain data through the OneSource API\\. See how we launched an RPC\\-backed client and indexed Deepstate contracts in response to demand\\." source: "https://onesource.io/blog/robinhood-chain-api-deepstate-indexing" last_updated: 2026-09-24T16:32:38.000Z published: 2026-09-24T11:37:37.000Z author: "gisellezatonyl" tags: "Announcement" ---------------------------------------------------------------------- When Robinhood Chain launched, we all woke up to a new world of tokenized stock trading\. Within a few weeks, it passed more established chains to become [the primary real\-world asset \(RWA\) network\.](https://www.cryptotimes.io/2026/07/27/robinhood-chain-beats-ethereum-solana-to-become-no-1-rwa-network/) All without advance warning or prior announcement\. OneSource doesn’t index every chain\. But when a new protocol on a chain matters when it shifts the blockchain landscape or a client needs a custom index on a contract or protocol, we move fast\. Within a week, our developers launched a live chain client serving data through our REST API\. [Learn how OneSource Flex is your customized gateway to blockchain for business](https://onesource.io/solutions/flex-api)\. ## The Robinhood Race to the Top We built a remote procedure call \(RPC\)\-backed chain client almost as fast as we processed the Robinhood Chain announcement\. And that speed was necessary\. Within the first week, the chain [saw more than $3\.1 billion in DEX volume and 65,000 active users](https://www.kucoin.com/news/flash/deepstate-to-launch-order-book-dex-on-robinhood-chain-next-week), and it became one of the [top five chains](https://www.coindesk.com/tech/2026/07/13/robinhood-chain-surges-into-top-five-by-dex-volume-bernstein) by the end of the second week\. Two months later, its [daily volume has crossed $1 billion](https://www.coindesk.com/research/robinhood-chain-a-distribution-moat-the-market-is-already-pricing)\. Crypto has turned a corner in its movement toward becoming the infrastructure that powers financial markets\. “This is the first real explosion of crypto trade in US stocks,” says our CXO, Rick Manelius\. And OneSource can give you the rapid data response you need to participate, building the infrastructure you need to make sense of each new chain\. A chain client is not a full chain index\. Users can make direct, real\-time queries against the RPC\-backed client, but those queries are limited\. A client can answer “what happened in this specific transaction?” but not “show me all the transactions this address has ever done\.” With Robinhood Chain, the OneSource API offers everything our chain client does\. ## Diving in with Deepstate Within a month of Robinhood Chain going live, [Deepstate announced its imminent participation](https://www.kucoin.com/news/flash/deepstate-to-launch-order-book-dex-on-robinhood-chain-next-week)\. Most Robinhood trading is happening on Uniswap, the incumbent king of on\-chain trading protocols; Deepstate works more directly like a stock exchange and depends on attracting enough active traders to keep its buying and selling at high frequency\. Over Labor Day weekend, OneSource fully indexed the nine original Deepstate protocol contracts and partially indexed Uniswap as it relates to the Deepstate protocol\. This is the first full index we’ve built in response to user and market demand, and we launched it within a day, with full API integration shortly after\. We integrated the existing API with new endpoints that both agents and humans can call to get real\-time, detailed analytic data for a read on the market\. Along with our rapid response Robinhood chain client, we can now provide cross\-platform analytics: a user can access data through the front end, or an agent can use x402 calls or our API key subscription to access data directly through the backend\. ## OneSource: Your Custom\-fit Chain While fully indexing every possible blockchain isn’t our goal, OneSource can rapid\-build a tailored index that gets you exactly what you need for your application or use case\. And when a full chain is required to keep up with a clear market shift, we can index the whole chain just as quickly\. We deliver your chain client or API integration within a week of fully understanding your customization needs\. Robinhood Chain may have been the first big crypto moment in the US stock market, but it won’t be the last\. OneSource is your precision partner for a chain client that gets you participating right away\. In the meantime, [see our Flex package](https://onesource.io/solutions/flex-api) to add a chain to our supported options\. We’ll build a customized RPC\-backed client or index faster than the next crypto trend can break\. ---------------------------------------------------------------------- title: "Project Aegis Smart Accounts Gave You Guardrails; Now We’re Building a Marketplace" description: "Project Aegis is expanding from AI agent wallet guardrails into an on\\-chain marketplace where agents buy from merchants under spending rules\\." source: "https://onesource.io/blog/project-aegis-agentic-commerce-marketplace" last_updated: 2026-09-30T20:08:32.000Z published: 2026-09-16T09:28:31.000Z author: "gisellezatonyl" tags: "Announcement" ---------------------------------------------------------------------- Project Aegis lets you write [spending rules for your AI agents](https://onesource.io/blog/project-aegis-ai-agent-guardrails-onesource) directly onto the blockchain, so your agent can’t make decisions you later regret\. What began as a way to enforce your rules on an agent with a wallet has become a launching point for a fully on\-chain commerce platform\. See what’s happening with Aegis, and [connect your own wallet](https://app.projectaegis.ai/): we’re live on Base and Base Sepolia testnets, and free during early access\. ## The Aegis guardrails in action We’ve tested guardrails for a Hermes agent attempting Aerodrome transfers with real money in a smart account\. Some transactions have been more successful than others: while it might seem disheartening to see failures, they’re proof that the evaluation policies work\. Now we can focus on fine\-tuning our agent to make some real money within the rules it can’t break\. Next up, we joined ARC\. [Circle](https://www.circle.com/) is the primary driver behind USDC, the dominant stablecoin in EVM\-based agentic activity, and [ARC is their new blockchain](https://www.circle.com/blog/introducing-arc-an-open-layer-1-blockchain-purpose-built-for-stablecoin-finance), built from the start to prioritize agent activity\. We’ve joined their alliance and successfully tested EURC and USDC transfers with Aegis guardrails on the ARC testnet, so we’re ready to go with ARC, which [launched today](https://x.com/arc/status/2100170550857404852?s=20)\. ## Agents and merchants building reputation together We set out to build a fundamentally agent\-focused commerce layer that lives on Base\. The new Aegis Platform controls the whole flow of agentic commerce: merchants providing services, agents purchasing licenses and receipts through those merchants, and Smart Contracts enforcing the limits you set\. We’ve tested the system by setting an agent up as a merchant providing World Cup viewing packages: individual games for ten dollars or the whole set for a hundred\. With a purchasing limit set at twelve dollars, another agent was able to correctly select a single game to purchase, receiving a nontransferable license\. We’re still hardening the system, but this successful test shows we’re well on our way\. The Aegis Platform is the foundation for a trust flywheel\.  Agents can file a dispute and request a refund if they don’t receive the service they expected, and merchants can issue a refund when warranted\. Both outcomes go on the record: providers who refuse responsibility and agents out to cheat the system with false reports can be tracked\. Both sides rate the other to make reliable partners easy to identify, which attracts more merchants and agents to the marketplace\. ## Next up: Know your agent Moving forward, we’re focused on building our indexing system to deliver on the Know Your Agent promise the project started with\. We’re already tracking agent behavior so we can predict patterns more accurately, and opening Aegis to wider use will help us get there\. Project Aegis and the Aegis Platform provide the infrastructure to track your agent’s choices in the blockchain's trustless environment\. Get your wallet connected to explore what that means for your agent’s purchasing behaviors\. ---------------------------------------------------------------------- title: "How Blockticity Anchors Billions in Real\\-World Trade on OneSource Flex" description: "How Blockticity uses OneSource Flex to index authenticated supply chain documents, join blockchain proof with private evidence, and support $8B in assets\\." source: "https://onesource.io/blog/blockticity-onesource-flex-supply-chain-authentication" last_updated: 2026-09-02T14:21:10.000Z published: 2026-09-01T18:13:20.000Z author: "gisellezatonyl" tags: "Case Study" ---------------------------------------------------------------------- **Tamper\-evident documentation for real\-world supply chains, built on [OneSource Flex](https://bpcontent.looksee.xyz/one-source-page/solutions/flex-api/)\.** Blockticity, a supply chain authentication company that helped develop international tracking standards, uses infrastructure built on OneSource Flex to anchor trade and compliance for more than $8 billion in assets on a public blockchain\. Authenticating real\-world trade this way involves an inherent contradiction between provenance and privacy\. Authorized people and systems must verify the documentation that clears goods across borders \(bills of lading, lab certificates, factory production records, certificates of origin\) in seconds\. And the proprietary business data behind that documentation must stay private\. **Our Flex solution for Blockticity indexes and joins on\-chain and off\-chain data in a single query\.** Off\-the\-shelf infrastructure handles one side OR the other: the public proof or the private data\. OneSource Flex covers both\. ## Indexing the Evidence Behind Conformity Assessment  within the architecture At the center of Blockticity’s platform is a standards\-based conformity assessment approach that transforms supply chain documentation into authenticated, tamper\-evident evidence\. Blockticity authenticates Certificates of Analysis \(COAs\) and related trade documentation, including bills of lading, factory production records, laboratory analyses, certificates of origin, and other supporting records\. Together, these documents create an auditable chain of evidence that can support traceability, authentication, validation, and regulatory oversight across global supply chains\. OneSource adds an important infrastructure layer by making this authenticated evidence rapidly indexable, searchable, and queryable\. Blockticity had already launched its own Avalanche L1 with five validators, backed by the Blizzard Fund and Blockticity’s lead investor\. The architecture provided the blockchain infrastructure for Blockticity’s tamper\-evident authentication model, but the company needed a more configurable indexing layer capable of understanding its COA schema and associated proprietary metadata\. “We’re a standards\-driven organization,” said Ian Kimmel, COO and co\-founder of Blockticity\. “Anything we do on the technical side has to support the standards\-based conformity assessment framework we are building\.” A generic indexing approach did not provide the flexibility required to organize Blockticity’s authenticated documents and supporting evidence\. OneSource initially focused on indexing the authenticated COAs Blockticity was issuing and updating that index in near real time, providing the query performance needed for use cases such as customs and regulatory review\. The opportunity then expanded to indexing the supporting documents associated with each COA as connected, queryable records\. “We were initially looking at OneSource as an indexing solution for our authenticated COAs,” Ian said\. “What became clear was that the same infrastructure could make the entire body of evidence supporting conformity assessment searchable and accessible\.” OneSource subsequently assumed management of Blockticity’s five validators, consolidating blockchain infrastructure and indexing support\. The result is an additional infrastructure layer supporting Blockticity’s larger mission\. Blockticity remains responsible for creating the authenticated, tamper\-evident evidence and conformity assessment framework; OneSource makes that evidence faster and easier to retrieve and query\. A customs official, regulator, manufacturer, or trading partner can move from an authenticated COA to the supporting documentation behind it, helping turn supply chain records into accessible, independently verifiable evidence for trusted global trade\. ## Joining public proof with private metadata evidence Blockticity's conformity assessment architecture must balance two requirements: independently verifiable proof of document integrity and controlled access to sensitive supply chain evidence\. Blockticity creates tamper\-evident, authenticated trade documents while preserving the confidentiality of proprietary information required to support verification and conformity assessment\. Public blockchain infrastructure provides an independent, timestamped cryptographic record that can be used to verify the integrity of an authenticated document\. Supporting evidence may remain private, including farm coordinates protected by origin\-country requirements, production and batch information, supplier records, and other proprietary data that may be required for customs, regulatory, or conformity assessment purposes\. "The value of a public digital ledger is that it provides an independent point of verification," said Mike Coner, CEO and co\-founder of Blockticity\. "But companies should not have to expose proprietary information to achieve that transparency\. Our approach separates public proof from private evidence while allowing authorized parties to verify both when required\." OneSource Flex supports this architecture by indexing and joining Blockticity's on\-chain proofs with authorized off\-chain metadata through a process OneSource calls "feathering\." A downstream application can query the relevant records through a single API while access controls determine which underlying information an authorized party may view\. The public proof remains independently verifiable, while sensitive evidence remains protected\. For Blockticity, this indexing capability improves the speed and accessibility of an existing authentication and conformity assessment framework\. Instead of assembling supporting evidence across multiple systems, an authorized customs official, regulator, importer, or other stakeholder can retrieve the authenticated document and relevant supporting evidence through a streamlined query, helping conformity assessment activities move at the speed required by global trade\. ## Built to Support a Standards\-Based Architecture Blockticity's platform is designed around a standards\-based approach to digital document authentication, supply chain traceability, and conformity assessment\. Its architecture supports implementations consistent with the principles described in ASTM D8558, while remaining interoperable and technology\-neutral as standards and regulatory requirements continue to evolve\. Members of the Blockticity team participate as volunteers in ASTM International's standards development process, including Committee F49\.06, which is developing standards related to digital information and traceability across global supply chains\. This work informs Blockticity's broader approach to building infrastructure that can operate across industries, technologies, and jurisdictions without depending on a single blockchain or proprietary system\. OneSource supports that architecture by providing indexing infrastructure that connects Blockticity's authenticated records, on\-chain proofs, and permissioned metadata into a searchable and queryable environment\. As Blockticity expands across additional supply chains and standards evolve, the infrastructure can accommodate new document types, metadata structures, and verification requirements while preserving Blockticity's standards\-based conformity assessment framework\. ## What’s next The work between OneSource and Blockticity demonstrates how specialized infrastructure can support a broader standards\-based conformity assessment platform\. As Blockticity expands from pilots into production across government, regulated trade, and additional industries, OneSource's indexing infrastructure can scale alongside it, supporting more authenticated documents, supply chain data, and standards\-based verification requirements\. For organizations managing real\-world data that must be searchable and accessible at the speed of inspection or settlement, OneSource Flex provides an infrastructure layer for connecting and querying complex data across systems while preserving the authentication, governance, and standards frameworks established by the customer\. **Have an ambitious project that could use a Flex solution? Talk to us** about building trust at the speed of \(your\) business\. ---------------------------------------------------------------------- title: "Built for What Comes Next" description: "OneSource exists to make blockchain useful where failure has consequences \\(i\\.e\\. AI agents transacting tokenized, real world assets at scale\\)\\." source: "https://onesource.io/blog/onesource-manifesto" last_updated: 2026-08-24T16:54:37.000Z published: 2026-08-19T13:49:01.000Z author: "Vladislav Ginzburg" tags: "Announcement" ---------------------------------------------------------------------- OneSource exists to make blockchain useful where failure has consequences\. The world we are building toward is one where a machine can be trusted with a consequential decision \(e\.g\. a payment, a claim, a title transfer\) because the facts beneath it are verifiable, the rules around it are enforced before it acts, and every step can be reconstructed afterward\. A world where economic activity moves at the speed and scale that software makes possible, without anyone having to take it on faith\. Every serious business already operates in two data worlds\. The world inside its walls contains the information that makes the business distinct: contracts, supplier relationships, customer records, operating data, intellectual property\. The world outside contains the facts it must establish to other people: ownership, provenance, certifications, transactions, regulatory records, and the proofs on which customers and counterparties rely\. Those worlds have remained separate for good reasons\. Some information should be public and independently verifiable\. Other information must remain private and tightly controlled\. The problem is not that a wall exists between them\. The problem is that the two worlds cannot meet safely, quickly, and reliably when the business needs them to\. Here is what that looks like in practice\. A regulator asks a food importer to prove where a shipment came from\. The proof exists, but half of it is a tamper\-evident certificate on a public chain, and half of it is a private supplier contract sitting in the company's own systems, but nothing connects the two\. The importer has seventy\-two hours and no clean way to produce a single answer that joins them\. That gap between the record the world can verify and the record the business actually holds is what OneSource was built to close\. That gap is about to matter far more, because AI agents are beginning to participate in economic activity directly\. Agents will need to read external records, reason over private business information, transact with one another, and leave an audit trail their human principals can defend\. OneSource exists to make that possible\. We validate on\-chain data, connect it with private off\-chain information, and make the result usable by people, applications, and AI agents with the privacy controls and auditability that serious organizations require\. **The disappointment that motivated me** I have spent over a decade in blockchain, watching versions of the same story repeat\. An industry recognizes a real problem that blockchain might solve\. Someone funds a pilot\. The pilot adds a blockchain layer to an existing workflow, but the benefits never justify the complexity\. The industry walks away disappointed\. A year or two later, the same cycle begins somewhere else\. I’ve been part of that cycle, and I am unable to let it go\. Not because the technology was fashionable \(most of those years, in the rooms I cared about, it wasn't\) but because I believe the technology can help people and companies succeed beyond what was previously possible\. Blockchain is a genuinely transformational technology, but most of the available infrastructure was built for crypto\-native developers\. It was rarely designed around the actual workflows, permissions, regulations, and performance requirements of an established business\. The ledger itself was only one piece of the system\. A blockchain is like a massive secure library of tamper\-evident records arranged in chronologically arranged rooms\. But a library is not especially useful when the records are jumbled on the shelves, described inconsistently, or separated from the context required to interpret them\. You still need the librarian\. Someone to organize the records, validate how they were interpreted, connect them to the rest of the business, and put the right information in front of the right person \(or machine\) at the right time\. And move it all at unprecedented speeds and scale for businesses\. Most early implementations were missing that layer\. It was added over time, but the quality is not there yet\. Businesses paid the costs of a new architecture while receiving only a fraction of its value\. We as an industry earned the skepticism, but it's time to win back the room\. This is what we built OneSource to help fix\. **What I still believe** The disappointments did not eliminate the underlying need\. Whenever several parties depend on the same facts but no single party should control the record, independently verifiable data has real value\. I don't bring this example in the abstract\. My father is in commercial real estate, and years ago someone walked into a land office with a forged marriage certificate and an envelope of cash and walked out holding title to property that wasn't theirs to take\. The paper system didn't fail loudly\. It failed quietly, in a back office, in a way nobody could see until it was too late\. The value of putting a registry on a blockchain isn't that you'd sell your house through a crypto wallet\. It's that a record like that becomes visible to everyone and extremely hard to rewrite in secret\. Or consider a buyer using stablecoins in a country where the national currency loses value at eight or ten percent a year\. That person may not care about crypto as an asset class or an ideology\. They care about completing a large purchase without watching their money erode during a lengthy escrow and foreign\-exchange process\. These are not speculative use cases\. They are failures of records, settlement, and trust\. They also reveal why infrastructure matters\. The people with the most to gain from these systems are often the least able to absorb a lost key, an incorrect record, or a failed transfer\. Reliability is not a technical nicety when failure has human consequences\. Blockchain can provide part of the answer: a shared record that no participant can quietly alter\. But the record must still be validated, interpreted, joined with private information, and fitted into a real workflow\. The technology can do remarkable things, but it cannot do them alone\. **The next operator is an agent** AI makes this unfinished infrastructure much more urgent\. Today, most AI systems operate as assistants\. They summarize, recommend, and help humans make decisions\. The next generation will act: requesting information, negotiating terms, moving money, and documenting what it did\. And it will do it at machine speed\. Trades, transactions and transfers are actions that once happened at a pace a person could watch\. They are now being scaled to volumes and speeds no human can supervise in real time, around the clock, without pause\. That scale is the whole promise\. It’s only a gift if it’s safe and makes sense\. And it makes sense under exactly one condition: an agent must never be able to spend, settle, or act first and explain itself afterward\. At machine speed, "ask forgiveness, not permission" stops being a culture and becomes a way to compound a single mistake a million times before anyone notices\. You can’t un\-send a million payments\. So the authority stays human\. People decide what an agent is allowed to do\. But once they have decided, they have to get out of the way of the action, because supervising every step by hand defeats the entire reason for delegating to a machine\. The only way to have both delegated authority and machine speed is to move the human judgment upstream: into the rules that govern the agent before it acts, never into a review that arrives after the damage is done\. That is what an agent transacting on your behalf actually requires\. When two agents transact for two different principals, they need more than intelligence\. They need a set of facts neither principal can secretly rewrite\. They need rules governing what each side can see\. They need a reliable record of what was requested, offered, accepted, and paid for\. When the transaction is consequential, an auditor or regulator must be able to reconstruct it\. In other words, they need a neutral playing field\. Picture a medical claim settled between a hospital's agent and an insurer's agent\. This could radically cut down the time this process typically takes, leading to better economic outcomes for both parties\. This could be a real win\. For it to happen, both must agree on what was authorized and what is owed\. The patient's records must stay private\. And months later, a regulator may need to see exactly how the final figure was reached\. That is the shape of the problem\. Blockchain and AI answer complementary parts of it\. Neither is enough by itself\. Blockchain supplies a neutral, tamper\-evident record\. AI interprets information and acts on it\. Private infrastructure keeps sensitive material off the public ledger while joining it to the relevant proofs\. Between them sits the control layer: validation, permissions, orchestration, query access, and settlement\. OneSource operates two parts of that layer\. First, where the rules live: a framework that decides what an agent is permitted to do and enforces spending and access policies before anything settles, keeping a record of every decision for later review\. Second, where payment happens: settlement runs on open standards rather than a proprietary rail, so value moves the moment a permitted action completes\. No human in the loop, and no lock\-in to any single protocol as the space matures\. It should always be policy first, payment second\. The infrastructure this demands \- validated data, enforceable rules, verifiable settlement, all of it fast enough to keep pace with the agents relying on it \-  is an enormous lift\. That lift is the work\. We are obsessed with meeting this moment, because the shift is coming whether the ground beneath it is ready, and we love building out a sturdy ground\. We make blockchain data usable by agents without asking a business to expose its private information, blindly trust an indexer, or rebuild its entire operation around crypto infrastructure\. **What we believe** At OneSource, our approach begins with four principles\. **1\.**     **Design around the join** On\-chain and off\-chain information should not be treated as two unrelated systems connected by an artificial bridge\. They are two coequal parts of one data model\. Some records should be tamper\-evident and broadly visible\. Others should remain private\. The schema, access controls, and query paths should reflect both from the beginning\. **2\.**     **Validate what the blockchain hands you** A blockchain may preserve a transaction, but it does not guarantee that an indexer interpreted that transaction correctly\. For example, parsers can drift, chain readers can disagree, and networks often reorganize\. Software changes\. Businesses need someone to check\. At OneSource, we call our validation system the Block Doctors\. It's an effort to manage verification proactively instead of reacting\. It compares our interpretation of the data with the underlying chain records, block by block, so discrepancies can be detected rather than silently passed to the customer\. You should not have to trust a blockchain\-data provider simply because it tells you its data is trustworthy\. Ask every provider how it validates its work, OneSource included\. **3\.**     **Treat agents as first\-class clients** AI agents should not be improvised additions to an interface designed exclusively for human developers\. They need structured discovery, predictable permissions, and pricing they can read before they commit\. They need queries that don't fall over, settlement they can verify, and answers that can be traced back to where they came from\. None of that can be bolted on afterward\. **4\.**     **Build for reasonable oversight before it is demanded** Compliance requirements ought to be as streamlined as the technology, but in practice, rarely become simpler over time\. Organizations should assume they will eventually need to produce a record that connects an on\-chain event with private supporting documents, identifies how the result was derived, and shows who or what accessed it\. The system should be able to produce that evidence in seconds, not through lengthy and manual investigation\. **What we won't compromise** Some things we will not trade away, whatever it costs us\. We will not pass unvalidated data to a customer and call it verified\. We will not ask a business to expose private information to get value from public records\. We will not lock anyone into a rail, a chain, or a standard we happen to profit from\. We will not ship a demo we know won't survive contact with a real audit\. We will not let an agent spend or settle first and explain itself later\. **One architecture, four surfaces** We did not build four unrelated products and place them under one logo\. Rather, we built one validated data architecture and exposed it through four surfaces, because different jobs require a specific approach to each\. 1. [REST API](https://onesource.io/rest-api)gives agents fast, atomic actions through standard endpoints\. 2. [The OneSource MCP](https://onesource.io/mcp) server lets an agent's own reasoning model discover and select the data operations it needs\. 3. Mach 10 handles natural\-language questions that require several sources or operations to produce one answer\. 4. [Flex](https://onesource.io/solutions/flex-api) joins validated on\-chain records with a company's proprietary off\-chain data for bespoke enterprise workflows\. An agent calling a REST, a developer using MCP, an analyst asking Mach 10 a question, and an enterprise operating through Flex all reach the same underlying data foundation, governed by the same permissions through our platform and settled the same way through an open payment protocol \(x402 as of this writing\)\. The delivery style is flexible\. The commitment to validated, business\-ready data is not\. **Who we are building for** We are building for operators, not spectators\. If you have ever built something impressive that fell apart the moment it met a real business requirement, you already understand why we exist\. If your supply chain, your transactions, or your obligations depend on records other people must be able to verify then this is for you\. If you are entering blockchain at a scale where reliability and audit\-readiness matter more than novelty, we should talk\. For the regulators, auditors, customers, and counterparties who need evidence rather than assurances: that is exactly what we are here to produce\. And if you are one of the people who bears the cost when infrastructure fails, you are the reason we are strict about the things we refuse to compromise\. We believe in building blockchain in as native infrastructure instead of bolting it on\. The rest follows from taking those two seriously\. **Hello, world** In software, "hello world" is not the finished product\. It is the first proof that a new system is alive and ready to be built upon\. This is ours\. If you build agents, point one at the OneSource MCP server and let it discover what it can do: ``` npx -y @onesource/mcp@latest ``` You do not need to talk to us first \(although I'd love it if you did\)\. If your business has private data that must operate alongside tamper\-evident on\-chain records, talk to us about [Flex](https://bpcontent.looksee.xyz/one-source-page/solutions/flex-api/)\. If you are entering blockchain at institutional scale and the question keeping you awake is whether the data will withstand an audit, I would like to talk to you directly\. Hello, world\. We're OneSource\. ---------------------------------------------------------------------- title: "Blockchain at the Speed of Business: OneSource Flex" description: "Joining private business data with public blockchain records used to mean juggling vendors and writing glue code\\. OneSource Flex collapses that into one query — see how Blockticity used it to authenticate $7\\.7B in supply\\-chain records\\." source: "https://onesource.io/blog/onesource-flex" last_updated: 2026-07-30T21:34:49.000Z published: 2026-07-28T16:37:54.000Z author: "gisellezatonyl" ---------------------------------------------------------------------- Your business runs on data that lives in places both private and public: joining the two with standard tools has been a slow, expensive process\. When blockchain entered the equation, the balance between internal security and outside visibility became a bit more complicated, and the tool set even larger and more finicky\. **[OneSource Flex](https://onesource.io/solutions/flex-api) makes that data join possible without the need to learn a series of specialized tools or wait for multiple validations\.** One query, designed around your data model, that the cryptographic regulators will accept\. The trustless environment of blockchain, moving at the speed of your business\. ## Getting blockchain to show up for you There is a moment in every real\-world supply chain when the rubber meets the road\. Internal contracts, supplier details, pricing, lab results, regulatory paperwork, and personally identifiable information must remain private, but some records need to be provable on demand\. Someone, usually a customs inspector, has to decide whether a container of regulated goods is what its paperwork says it is\. That decision used to depend almost entirely on the "paper trail”: bills of lading, certificates of origin, lab assays, signatures, stamps\. Paper records are easy to falsify, slow to move, and impossible to audit at scale\. Blockchain was the technology that was supposed to fix this\. It mostly has not\. The pattern has been depressingly consistent during the last ten years in the blockchain space\. A real\-world industry gets excited about the promise\. They run pilot projects that disappoint\. The industry walks away, and the cycle resets\. Everybody wants blockchain benefits without working through the steep learning curve to get it right\. **That is what we built OneSource Flex to fix\.** [Flex](https://onesource.io/solutions/flex-api) is one of four product surfaces at OneSource\. The other three \(Skills, [the MCP server](https://onesource.io/mcp), and Mach 10 are built for software clients, particularly AI agents, that need to read blockchain data and pay for it in milliseconds\. Flex is built for a different client: real businesses with real data that need blockchain to actually show up\. ## Flex: the librarian for your data libraries Bringing the benefits of blockchain to your business usually means a banged\-together scaffold of pieces that doesn’t scale with you\. It starts with a standard blockchain API that tells you what’s on a given public blockchain ledger\. These “on\-chain data" are tamper\-evident and trustless by nature: neutral and verifiable by anyone with the right tools\. **That is useful until you remember your business works with on\-chain data, but it *runs* on the sensitive off\-chain data in your secure systems\.** The intellectual property that defines your competitive advantage \(sales contracts, supplier details, pricing, lab results, product photographs\) and the personally identifiable information that must never leak \(regulatory paperwork, payment information\) all live in your internal documents\. Since these proprietary data are a bigger part of your operations than the on\-chain data, the blockchain has to come to us \(not the other way around\)\. A serial number on the chain is meaningless without the lab report it points to; an ownership token is meaningless without the legal contract behind it\. A customs inspector cannot make a decision from a hash alone\. **The off\-chain world is where your business, where every business, happens**\. Mike Coner, CEO and Co\-Founder of our client Blockticity, highlights this blockchain\-business gap: "The best use case for authentication is a digital public ledger\. The worst use case for a company is putting your intellectual property on a public digital ledger\." So you go shopping for infrastructure that can bridge the private with the public\. What you find is the standard API to handle the on\-chain part, a second provider that offers some data normalization, and company databases for the off\-chain parts\. You juggle two or three vendors, write integration code, glue the pieces together by hand, and end up with a system of sorts\. A slow, expensive, easily breakable, error\-prone system that has to be maintained in\-house and rebuilt every time one of the parts changes\. Each vendor does its piece, and none of them is designed to know your data model end to end\. The blockchain is a secure data library: a sequentially organized series of mathematically defined storage units we call "blocks" that aren’t organized in any way useful to your operations\. To make that block data valuable, you need a "librarian" that can pull on\-chain data and combine it with relevant off\-chain documents to hand you back exactly what you asked for\. **Flex is that librarian\.** ## How Flex works Flex is a bespoke product surface that collapses ad hoc scaffolding into one cohesive interface to keep your proprietary data where they belong while delivering your answer\. We design a custom integration around your data model, using whatever technical tools fit the job\. Feathering, joining on\-chain and off\-chain data server\-side, gives you what you need to operate in one place with one query that returns one response\. Consider a Latin American agricultural exporter\. The farmers and cooperatives that supply them have real reasons to keep farm\-level GPS coordinates and bill\-of\-lading details confidential: competitive security, and longstanding privacy expectations\. At the same time, the European Union's deforestation regulation \(with enforcement scheduled for large operators from December 30, 2026 will require EU border inspectors to examine exactly this data before the goods are allowed in\. Two legitimate, real interests\. **[Flex](https://onesource.io/solutions/flex-api) resolves the tension\. Proprietary data live off\-chain in the exporter's database; a cryptographic fingerprint lives on\-chain\.** That fingerprint is the document's mathematical signature: it cannot be forged or reversed to reveal the document itself, but it can prove the document existed and has not been altered\. When the shipment arrives at a European port, the inspector presents a credential\. Flex feathers the on\-chain proof with the off\-chain documents only for that inspector and that shipment: the data the regulator needs become visible to the inspector, and the data the exporter is required to keep confidential stay confidential\. No more manual stitching with glue code after round\-trips to three different vendors\. ## A trustless trail of information **The whole point of blockchain is that it is trustless\.** Since the data are verifiable by anyone, no need to rely on your source\. So why ask a third party \(us included\) to deliver it to you? The honest answer: reading the chain yourself, at any practicable scale, is impractical\. Indexing, parsing, joining off\-chain data, and validating chain consistency all has to happen somewhere, and it doesn't belong on your side unless that's your actual business\. So you ask us\. And the moment you do, OneSource becomes the intermediary between you and the chain\. We become something you have to trust\. OneSource's Block Doctors check our work block by block against the underlying chain data\. They are the accountability mechanism that lets us operate inside a system whose whole premise is that no accountability mechanism should be necessary\. **You don't have to take our word for anything\.** The Block Doctors catch inconsistencies wherever they appear: data drift, indexing problems, places where different chain readers see different things\. Explicit trust in a sandbox of trustlessness\. ## Blockticity in production Blockticity has been a Flex customer since the beginning, showing just what on\-chain/off\-chain feathering enables\. They authenticate documents in international supply chains, such as bills of lading, certificates of origin, lab assays, and customs paperwork\. The Blockticity thesis came out of the PPE crisis during COVID, when co\-founders Mike Coner and Ian Kimmel watched fake paperwork move billions of dollars of counterfeit medical equipment through the global supply chain\. They asked a simple question: what if you could take a piece of paper from the supply chain and make it tamper\-evident on a public ledger? Could you do good business if the documents could not lie? The answer turned out to be yes\. By 2024, Blockticity had $280 million of real\-world assets on\-chain\. By March 2026, more than $7\.7 billion\. Their growth coincided with a regulatory shift\. Tariff scrutiny and provenance requirements accelerated as EU deforestation regulation began to come into force and US Customs and Border Protection demanded documentary proof of origin in ways paper systems cannot credibly deliver\. Blockticity co\-authored an internationally published standard, ASTM D8558, defining a four\-step scheme for tamper\-evident supply\-chain authentication\. Step two, document authentication at origin, is where Blockticity sits\. And OneSource Flex feathers their on\-chain hashes with the off\-chain proprietary data their customers cannot put on a public ledger\. One example: US Customs and Border Protection has been enforcing the Uyghur Forced Labor Prevention Act against polysilicon in semiconductor and solar\-panel supply chains\. Blockticity works with a polysilicon producer operating a small number of audited mines under verifiable conditions\. On the chain, every shipment carries a cryptographic fingerprint pointing to its documents; off\-chain, the documents stay protected from competitors\. At each border, Flex serves the customs inspector a single record feathered from on\-chain provenance, off\-chain assay results, chain\-of\-custody data, and risk score\. The decision happens in seconds: the container moves or it does not\. **This is what real\-business blockchain looks like\.** Ian Kimmel, COO and Co\-Founder of Blockticity, says "OneSource has been almost like a McKinsey consultant alongside being our infrastructure provider\." The brand\-name comparison is not the point; the relationship is\. Blockticity originally came to us thinking of indexing as a service for their final minted certificates\. In a scoping conversation, we pointed out that the source documents going in were equally important and equally indexable\. "We were only seeing half of what OneSource could do for us," Ian said\. Working with Flex and OneSource is more than a vendor relationship in practice\. It's a partnership where we know your business, sometimes better than your business does\. ## What's next? Blockticity is one example of a much bigger pattern\. Everything we're doing with Flex can be applied to anything depending on records that are both verifiable to the outside world *and* protected from it: intellectual property and royalty management, healthcare claims, AI\-mediated negotiations, real estate, regulated agriculture\. We believe most of the world's high\-value assets will live in this shape within a decade, and we exist to power that future by making trust at the speed of business real for every business inside it\. ## Crossing the Rubicon Treating the blockchain as a bolt\-on layer on top of existing operations does not work\. Those implementations are too brittle and too complex for the promise of tamper\-evident data to deliver\. Your blockchain technical architecture and business processes have to be designed at the intersection of the on\-chain and off\-chain worlds from the start\. **When you bring blockchain in as a core, native part of how your business operates, you step into a future the rest of the industry is still arguing about\.** And there's no going back once you're operating at the speed of business with organized, scalable data right there when customers and regulators need it\. Cross the Rubicon with OneSource Flex\. ## If your business has proprietary data that need to live alongside on\-chain records, talk to us about delivering trust at the speed of \(your\) business with Flex\. ---------------------------------------------------------------------- title: "The Agent Web Fork Is Here\\. OneSource Built for Both Sides\\." description: "OneSource is the production\\-ready blockchain data layer built for AI agents — with x402 payments, MCP discovery, and Block Doctors validation\\." source: "https://onesource.io/blog/blockchain-data-layer-ai-agents-onesource" last_updated: 2026-06-03T20:59:09.000Z published: 2026-06-03T14:44:41.000Z author: "gisellezatonyl" tags: "Announcement" ---------------------------------------------------------------------- ## Get in, agents, we’re going shopping\. The debate is over, the agent web is here: AI agents read your data, pay for it, and act on it\. Without waiting for you\. Most blockchain APIs were built before agents\-as\-client existed, for humans with credit cards and a tab open\. The new client needs a data layer built for how it actually works: pay\-per\-call, schema\-first discovery, server\-side filtering, and millisecond\-level latency\. ### OneSource is the blockchain data layer for both sides of that fork\. Coinbase's x402 protocol has already processed more than 50 million machine\-to\-machine transactions\. When Coinbase launched Agentic Wallets in February 2026, agents began registering and operating their own Ethereum wallets within hours\. Nobody asked them to; they just needed to pay for something\. That is what the new client looks like: agents talking to agents on behalf of humans\. For most of the web's history, the client at the end of a connection has been a person\. A browser loads a page, a human reads it, decides to act, types, and sends a credit card number when they’re ready\. Every API and every payment rail has been designed with that person somewhere in the loop\. A different kind of client now interacts with our infrastructure\. It does not browse: it queries\. It does not subscribe: it pays per call\. It does not read documentation: it discovers tools through machine\-readable schemas and calls them directly\. It is software that acts on its own\. Coinbase, Cloudflare, Stripe, Google, Visa, and PayPal are all building infrastructure for this client in parallel\. None of them coordinated\. They are seeing the same future, a future in which there's [more AI traffic than human traffic already in 2027\.](https://x.com/artemis/status/2053865923379966104?s=20) **We have a name for what is happening: The Agent Web Fork\.** The underlying internet is the same\. The interface layer is splitting in half\. One side serves humans, and the other serves software\. Companies that build for the new agent client now will define the next decade, in the same way the mobile\-first companies of 2007 defined the last one\. ### OneSource: built for the fork, not bolted on\. This is not the OneSource roadmap: the architecture is in production\. This article describes what we built and how to use it\. Our MCP server, /llms\-full\.txt, and the x402 gateway are live\. Cloudflare, which sits in front of roughly 20% of the web, just shipped /llms\-full\.txt support, MCP, and x402 v2 in a single release\. The format we use is the format their infrastructure now backs\. Our Skills are listed on x402 Bazaar, AgentCash, Claw Hub, and [our GitHub repositories](https://github.com/blockparty-global/skills)\. ### What "built for agents" actually means **Most blockchain APIs were built before agents were a serious client class\.** They assume a human has made the decision, signed up, and is also reading the docs\. They assume the developer making the API call is also writing the code that filters the response\. > **None of those assumptions hold when the client is an agent\.** #### x402 An agent does not have a credit card on file\. It has a wallet\. If you want it to pay you, you need a per\-call payment rail denominated in stablecoins, with no human sign\-off required\. **That is what x402 is for\.** Leveraging the never\-implemented 402 protocol, it embeds payment directly into HTTP so an agent's request and its payment travel together\. We ship it as a gateway in front of every Skill we publish\. #### /llms\-full\.txt and MCP An agent does not read documentation\. It discovers tools by reading a schema\. The schema has to be machine\-readable, complete, and housed where the agent already looks\. **That is what /llms\-full\.txt is for, and what MCP is for\.** Our schema lives at the standard endpoint\. Our MCP server \(`npx onesource\-api\-mcp`\) hands a discoverable, queryable surface to any agent that speaks the protocol\. The agent's own LLM picks the calls it needs\. #### Server\-side processing An agent does not want a 2,000\-row response to scan client\-side; that costs tokens\! It wants the two rows it asked for\. Every extra row is latency, every extra row is context the agent's reasoning has to chew through, and every extra row is cost\. **That is what server\-side processing is for, and what “built for agents” looks like in practice\.** We filter, normalize, and compute on our side\. The agent gets back exactly what it asked for\. ### Four ways to reach the chain\. One narrative behind them\. When we say OneSource was built for the agent web, we do not mean we built one big agent\-shaped API\. Those four primitives show up across four product surfaces\. They are different shapes of the same architecture, each one made for a particular job\. No single surface fits every agent job\. Pick the surface that fits the job\. Combine them when the job demands more\. #### Skills **REST endpoints,** single\-purpose, listed where agents shop\. **Best for:** fast, auditable agent actions where the agent itself decides what to call\. **Each Skill does one thing well:** get a wallet balance, fetch a transaction, count an event in a window, look up a contract\. They live on x402 Bazaar, Agent Cache, Claw Hub, and [our GitHub repository](https://github.com/blockparty-global/skills)\. Each marketplace gets its own self\-documented metadata, so an agent shopping the directory finds the Skill, reads what it does, calls it, and pays for it\. Pricing runs $0\.001 to $0\.010 per call via x402, or a [flat $20 per month API key](https://onesource.io/faqs), if predictable billing better fits your use case\. Latency in the milliseconds, and the agent orchestrates the calls itself\. #### MCP server **Run our Model Context Protocol server locally\.** Your agent's own model handles discovery and decomposition\. **Best for:** agent\-builders with a strong reasoning model who want it to drive the API surface\. `npx onesource\-api\-mcp`\. Our MCP server sits between your agent and our Skills\. The agent's LLM reads our schema and picks the Skills to call\. We do not orchestrate at this layer\. The agent stays in control of how it reasons about the problem\. #### M10 **One natural\-language query in\. One result out\. One charge\.** **Best for:** agentic workflows that want answers back, not API calls to assemble\. M10 is the orchestration layer\. The agent asks a question\. M10 reasons across our indexed data first, then Skills, then third\-party sources where they fit, with Claude Sonnet doing the reasoning\. One $0\.04 x402 charge per query\. Block Doctors, OneSource's data validation mechanism, check the result block by block before it returns to the agent\. #### Flex **Custom Web3 builds for real businesses\.** **Best for:** enterprises whose compliance, supply\-chain, or audit requirements go beyond what a self\-serve API can handle\. When proprietary data needs to live next to on\-chain records, Flex is the surface\. Custom GraphQL or REST endpoints to meet your needs\. Schema designed around the customer's data model, with off\-chain and on\-chain data joined server\-side\. We call that feathering: one query, both data sources, no client\-side stitching\. Block Doctors validation included\. ### How we handle trust Different jobs need different trust mechanisms\. It's not one\-size\-fits\-all\. Trust is the foundational primitive of the agent web\. An agent acting on bad data is a security incident, not a UX problem\. We name the trust mechanism on every surface\. That is an essential part of how we built for this client\. When you call a Skill or use the MCP server, you are reading directly from the chain\. We do not transform the data\. There is nothing for us to validate\. The trust message is short: data straight from the chain\. Verify it the same way you would verify any chain read\.  When you query M10 or use Flex, we are orchestrating or feathering data on your behalf\. Now there is something to validate, because we are doing work between the chain and your agent\. That is what OneSource Block Doctors are for\. Block by block, they catch reorgs, indexing gaps, and chain\-client inconsistencies before they propagate into the data your agent acts on\. | Surface | Trust mechanism | Trust message | | --- | --- | --- | | Skills, MCP server | Direct chain reads, no transformation | Data straight from the chain\\. | | M10, Flex | Orchestration plus block\\-by\\-block validation | Validated and attested by OneSource Block Doctors\\. | ### What this means in 2026 In 2007, mobile forked the web\. The first developers who built for the new client defined the next decade\. Uber, Instagram, WhatsApp, and Snap didn’t exist on the desktop web\. The desktop web lacked capability: it lacked the interface primitives the new client needed\. The agent fork looks the same shape\. The new clients are here\. They are reading, deciding, paying, and acting\. The platform\-level infrastructure for it is shipping at Coinbase, Cloudflare, Stripe, Google, Visa, and PayPal at once\. The interface primitives are MCP, x402, machine\-readable schemas, and per\-call settlement\. OneSource has all of them ready for you in production today\. The hybrid is the differentiator: REST and x402 for fast agent actions through Skills, MCP for discovery and natural language, M10 for orchestrated reasoning, refined GraphQL through Flex for the most complex cross\-chain and cross\-data\-source queries\. You pick the surfaces that match the job\. We make sure each one delivers\. Most blockchain APIs were built for the old client\. Wrapping an MCP server around a REST stack does not change what the API was built for\. The hybrid only works if the architecture underneath was designed for it from the start\. ### What to do today The agent web is shipping\. Real use cases, real production traffic\. We built OneSource for exactly this moment, and our customers are shipping agents on it now\. Yours can be next\. If you are building an agent that needs blockchain data: - **Try the MCP server\.** `npx onesource\-api\-mcp`\. Point your agent at it and watch the schema get picked up\. Documentation is at [docs\.onesource\.io](https://docs.onesource.io)***\.*** - **Browse the Skills on x402 Bazaar, Agent Cache, Claw Hub, and  *GitHub*\.** Self\-documented metadata and x402 pricing\. No keys to juggle\. If your agent already shops these marketplaces, you do not need to come to us\. - **Request M10 access for your business use case\.** Tell us the question your agent needs answered\. We'll get you set up\. ***\[M10 access mechanism: sales\-gated request form or open beta link\]*** - **For enterprise builds, talk to the Flex team\.** Proprietary data feathered with on\-chain records, schema designed around your data model\. Compliance and audit\-grade\. #### The web has forked\. OneSource was built for both sides\. ---------------------------------------------------------------------- title: "Project Aegis: On\\-Chain Governance for Autonomous AI Agents" description: "Project Aegis codes AI agent guardrails directly onto the blockchain — so your autonomous agent makes smart spending decisions, with or without you watching\\." source: "https://onesource.io/blog/project-aegis-ai-agent-guardrails-onesource" last_updated: 2026-06-03T18:47:14.000Z published: 2026-05-29T12:40:21.000Z author: "gisellezatonyl" tags: "Announcement" ---------------------------------------------------------------------- ## Policy enforcement for AI agents with wallets If you’ve ever handed your teenager a wallet and a list of tasks, you understand the challenge and risks\. Will they follow the plan faithfully, or is impulse a factor? Autonomous AI agents face the same risks when given spending power in web3\. Without proper guardrails, even well\-intentioned agents can fall victim to scams, malicious contracts, or poor decisions\. Project Aegis, built by OneSource’s engineering leadership \(with key contributions from the full team\) has the answer: use Smart Accounts to code a list of requirements your agent must meet before handing over the money you’ve put in its wallet\. > **Project Aegis gives you control beyond limited funds\. Rules written directly into the blockchain mean your agent makes smart choices with your money, whether you’re watching or not\.** ### Why a spending limit isn’t a guardrail The team set out to build Aegis when ERC\-8004 emerged: we knew free agents making purchases was a recipe for chaos, and saw the potential for partnering the new trust model framework with individually\-selected rules to create hard\-coded guidelines for agent behaviors\. Consulting others helped ground this approach in a wider mindset seeking to understand long\-term AI agent behaviors\. Here’s the problem\. To live up to its promise as an autonomous agent acting on your behalf, an AI needs spending power\. But cash without a smart choice is like letting an unregulated teen loose in a mall\. Aegis works like the shield it’s named for: it protects the user's wallet from misbehaving or compromised agents, in this case by proactively programming decision\-making guardrails\. If your agent can’t access one chain because it doesn’t meet your preset requirements, it’ll go looking for one that does before moving to the next task on its list\. > We set those guardrails in code; this is a *big deal* #### Agents can bypass the API: the accountability gap Using a set risk amount as the primary guideline is crude and limited: your agent spends all the money you hand it, and you’re left without any new information on its behavior\. Users sent their agents off to analyze decentralized finance \(DeFi\) trades and decide what to buy as soon as it became possible for them to trade cryptocurrencies: bots buying widgets so we don’t have to think about them\. Limiting the total spending was the only way to experiment with little expectation of a savvy investment\. Then we had API\-layer controls: an extra approval step before an agent could actually access the wallet and make a purchase\. But if an agent controls a private key, API checks are only as strong as the path the agent chooses to use\. A compromised or misdirected agent can sign and broadcast a transaction directly, bypassing any off\-chain approval step\. Aegis closes that gap by moving enforcement into the smart account itself: every transaction is checked on\-chain before execution, and anything outside policy fails before funds move\. Trust in your AI starts with accountability for its actions: you need to know where it’s been, who it’s fraternizing with, and what exactly it spent and on what\. The Aegis approach of coding behavior limits directly on the blockchain ensures your agent can’t reroute around an API\-level ruleset, and that you have full visibility on the parameters it's following\. You can watch it buy things, have a hard talk with it about its choices, and then teach it to do better next time\. **Rules your agent can’t reroute** Aegis combines ERC\-8004 \(for agent identity\) with ERC\-4337 smart accounts and a custom on\-chain policy enforcer\. The smart account refuses to execute any transaction that violates the rules you've set\.That gives us both the track record we need and a way to see the agent’s motivations and attempts at good behavior since the AI can no longer overrule your original intent\. When the team started building Aegis at the turn of 2026, the best way to control your agent was limiting its allowance; now, you can put a thousand dollars in your AI wallet and give it clear instructions to only spend five dollars at a time, a hundred dollars a day, and only on certain kinds of stuff\. Building those instructions into the blockchain keeps your agent on track\. **Aegis brings governance to the blockchain: here’s how it works** Our user interface currently relies on a series of smart contracts to create a smart account; it is available on Base and in testing on Sepolia, and we can turn it on for other EVM chains\. Once you create your smart account, you can register it on\-chain so it’s always active and can’t be overridden by a frustrated AI\. When you deploy an agent, Aegis generates a keypair client\-side and shows you the private key exactly once\. You hand the key to your agent, and Aegis never stores it\. With you agent created you can begin creating set policies to govern its behaviors: daily spending limits, approved and trustworthy chains, transaction protocols, and the duration of each behavior \(a week? forever?\)\. The agent’s wallet only executes a transaction if it meets all policy criteria, and you can keep your personal wallet fully separate from what your agent can access \(which you can set up directly or through a connected app like a MetaMask wallet\) through a [dedicated keypair generated when you create your agent’s wallet\.](https://app.projectaegis.ai/about/#flow) It’s as simple as creating an agent, deploying the smart account, registering on\-chain identity, creating policies and binding them to your agent\. [Read more about the specifics of the Aegis workflow here](https://projectaegis.ai/preview), and get full visibility on just what your agent is doing with your ETH tokens\. #### Next up: It’s 2026, do you know where your agent is? Are your agents misled into a fake UniSwap trade, donating money to bad actors? We can build a guideline that prevents that \(while protecting your wallet in the meantime\)\. Are they signing bad contracts? We’ll know and adjust their limits accordingly \(while providing a clickable security patch to keep your agent from interacting in the meantime\)\. > *If you're working with *agents executing trades or automated purchases*, this is the first step to making sure they're doing the right things* Aegis is OneSource’s answer to a question every agent owner should be asking \(ideally before letting one loose with a wallet\): What is my agent actually doing out there? A governance system living on and built for the blockchain protects your agent from poor service purchasing decisions\. Even if your agent is fooled into trusting a contract it shouldn’t, your policies will keep it on track: a disallowed behavior does not execute, and your assets are protected\. Our next step is an Evaluator tool that double\-checks agent behavior based on analytics captured by OneSource\. It’s part of a larger infrastructure that matches your intent against the intent and behavior of your bots, grounded in ongoing evaluation of agent behavior\. As more of us develop clear parameters to govern our assistants, we’ll be able to identify common usage patterns and develop new standardized policies to include in your Aegis Smart Accounts\. Now it’s simple to see what your agent is doing and call it home when it breaks the rules\. ---------------------------------------------------------------------- title: "Alpha Wrapped, Alpha\\+ Launches Q1" description: "Alpha\\+ launches in January with 6\\-blockchain support, transaction intelligence, and the performance improvements that set the stage for Beta\\." source: "https://onesource.io/blog/auto-draft-3" last_updated: 2025-12-22T13:39:22.000Z published: 2025-12-22T09:39:21.000Z author: "Elly Walkden" tags: "Announcement" ---------------------------------------------------------------------- Our technical Alpha launched in November to validate OneSource's core architecture and API design, and the insights we gained were transformative\. Based on what we learned, we've rebuilt our infrastructure with a microservices architecture that dramatically improves indexing performance and scalability\. **Alpha\+ is that architecture in action\.** It's our proving ground for the performance improvements and expanded capabilities that will power the next release, giving early developers a chance to build with our next\-generation infrastructure while we validate it at scale\. Here's what we shipped in Q4 and what Alpha\+ brings in Q1\. ## GraphQL Simplicity for Blockchain Complexity Building dApps shouldn't require wrestling with multiple data sources and endpoints\. OneSource is designed to make blockchain development simple and intuitive\. Our GraphQL API lets you query blockchain balances, assets, media, and transactions via a single, unified endpoint\. This means improved simplicity and dramatically reduced latency compared to traditional REST\-based approaches\. Query exactly what you need, get exactly what you asked for without the overhead of managing multiple integrations or piecing together data from disparate sources\. ## Alpha Achievements Alpha was designed to validate our indexing architecture and API performance under real\-world conditions\. Based on what we learned, we've restructured to a microservices architecture that delivers significantly improved indexing performance and sets us up for rapid scaling in 2026\. This next release will showcase these improvements in action\. ### Six Blockchains and Counting For our Alpha release, we added support for Shape, Base, Arbitrum, and Avalanche, joining our existing Ethereum and Optimism coverage\. Our new architecture allows us to add blockchains in weeks instead of quarters, meaning we can rapidly respond to developer needs and expand coverage as the ecosystem evolves\. We're committed to bringing you comprehensive network support throughout 2025\. ### Transaction Intelligence We added support for transaction querying which will be fully available in Alpha\+, giving developers access to detailed transaction logs for specific blockchain activity\. This will provide a fast, automated way to retrieve transaction data, essential for analytics, reporting, and complex application logic\. Planned capabilities we're validating: - Instant Search & Filter: Query by transaction hash, address, block, sender, gas parameters, nonce, and more - Token & Balance Tracing: Understand how transactions impact balances across ERC\-20, ERC\-721, and ERC\-1155 tokens - Metadata\-Aware Insights: Identify transactions that triggered real\-time changes to enriched token metadata ## A sneak peak at what's coming in Q1: We're not slowing down\. Here's what we're building for Q1 and beyond: ### Building Toward Comprehensive Contract Coverage We're scaling horizontally to support comprehensive contract\-type coverage across blockchains\. Our goal is to give you access to the full spectrum of on\-chain activity, not just a curated subset\. This broader foundation will unlock new use cases and give you the flexibility to build exactly what you envision\. ### Performance Validation Speed matters\. We're validating response times to ensure we meet sub\-second benchmarks as we scale to handle millions of queries across expanding blockchain networks\. Our goal is to make OneSource fast enough that your API calls never become a bottleneck\. ### Scaled QA Infrastructure Quality and reliability are non\-negotiable\. We're scaling our QA automation systems to validate data integrity, indexing performance, and data freshness, catching issues before they reach production\. This means you can trust the data you're building on\. ### ABI Indexing We're building ABI intelligence directly into our API, indexing events based on contract specifications rather than just surface\-level transaction data\. This will unlock deeper insights and more powerful queries, giving you access to structured contract event data without the complexity of parsing it yourself\. We're still determining the best service model and level of customization based on your feedback\. ## What Alpha\+ Will Validate Alpha\+ is where we test at scale\. We'll be validating: - Data consistency across all supported networks - API performance under production load - Query response times and reliability - Developer experience and integration patterns Your feedback during Beta will directly shape our roadmap\. We're building OneSource for you, and we want to hear what matters most to your projects\. ## Join The Open Alpha in Q1 We're planning an open Alpha experience designed to get you building quickly\. More details on access and benefits coming soon\. Sign up for the waitlist to be the first to know when we go live\. [Join the Waitlist](https://onesource.io/sign-up)\. We want to showcase and support builders getting their projects off the ground with OneSource\. If you're building something ambitious, we're here to support and amplify your mission\. ---------------------------------------------------------------------- title: "Build on Arbitrum: Scalable Ethereum Layer\\-2 with OneSource" description: "Learn why developers are building on Arbitrum blockchain: benefits, use cases, and how OneSource GraphQL API makes scaling on Arbitrum easy\\." source: "https://onesource.io/blog/build-on-arbitrum-blockchain-with-onesource" last_updated: 2025-11-21T11:14:27.000Z published: 2025-11-21T06:41:30.000Z author: "Beyond" tags: "Announcement" ---------------------------------------------------------------------- > We’re excited to announce that OneSource will soon support Arbitrum — the leading Ethereum Layer\-2 that delivers lower costs and higher throughput using optimistic rollups\. ## Introducing Arbitrum on OneSource 🚀 Starting Q4 2025, developers will be able to access Arbitrum blockchain data through OneSource’s GraphQL API \(powered by RPC under the hood\), making it faster and easier to deploy scalable Web3 applications\. Arbitrum has quickly become the most widely adopted Ethereum rollup, powering billions in DeFi activity and hundreds of decentralized applications \(dApps\)\. In this article, we’ll explore why developers are [building on Arbitrum blockchain](https://bpcontent.looksee.xyz/one-source-page/chains/arbitrum/), how it compares to other chains, and how OneSource simplifies the process with structured, application\-ready data\. ## What Is Arbitrum Blockchain? A Quick Overview Arbitrum is a Layer\-2 scaling solution for the Ethereum blockchain developed by Offchain Labs\. It uses optimistic rollups to extend the capacity of the Ethereum network, reducing fees while inheriting the security of Ethereum mainnet\. Arbitrum processes transactions via its State Transition Function \(STF\), which efficiently executes and batches transactions before final settlement on Ethereum\. This design makes Arbitrum cost\-efficient while keeping it tightly integrated with the wider Ethereum ecosystem\. **Key features of Arbitrum chain include:** - **Optimistic rollups**: Assume transactions are valid unless proven otherwise, enabling fast throughput\. - **EVM equivalence**: Contracts and programming languages like Solidity work seamlessly\. - **Lower gas costs**: Transaction fees are significantly reduced compared to Ethereum mainnet\. - **Large ecosystem**: Hundreds of dApps already use the Arbitrum network across DeFi, NFTs, and gaming\. ## Why Build on Arbitrum? Arbitrum is currently one of the most developer\-friendly Web3 platforms using Ethereum as its base layer\. For developers, building on Arbitrum blockchain means: - **Cost efficiency**: Users enjoy lower transaction fees compared to Ethereum mainnet\. - **Scalability**: Optimistic rollups enable high throughput transaction processing without congestion\. - **Security backed by Ethereum**: All rollups ultimately settle on Ethereum mainnet\. - **Familiar workflows**: The Arbitrum network supports Solidity, standard Ethereum programming languages, and the same developer tools you already know\. In short, Arbitrum was purpose\-built [to scale Ethereum](https://bpcontent.looksee.xyz/one-source-page/chains/ethereum/) without sacrificing decentralization or developer experience\. ## The Technical Edge: Optimistic Rollups Arbitrum relies on optimistic rollups, a scaling method where transactions are executed off\-chain but posted to Ethereum with a challenge window to allow fraud proofs\. Here’s how it works: 1. Users submit transactions on the Arbitrum network\. 2. Transaction data is processed and batched off\-chain\. 3. Batches are submitted to Ethereum for final settlement\. 4. Fraud\-proof mechanisms ensure security if disputes arise\. This design reduces transaction fees, increases throughput, and ensures that the Arbitrum rollup inherits the security guarantees of Ethereum mainnet\. ## Key Benefits of Arbitrum Blockchain for Developers ### 📉 Lower Costs at Scale On Arbitrum, transaction fees are a fraction of Ethereum’s\. This cost efficiency allows developers to deploy complex dApps without worrying about prohibitive gas fees\. It also improves UX — users can interact with DeFi protocols, NFTs, or games more frequently without being priced out\. ### 👨‍💻 EVM Equivalence Arbitrum is fully EVM compatible, meaning contracts run just as they do on Ethereum\. Developers can rely on established programming languages like Solidity and use familiar frameworks such as Hardhat, Remix, or Truffle\. This equivalence lowers the barrier to entry and makes multi\-chain deployment straightforward\. ### 🌳 Mature Web3 Ecosystem The Arbitrum ecosystem is one of the most active in Web3\. Leading Ethereum dApps such as Uniswap, Aave, and GMX have deployed on the Arbitrum network, creating deep liquidity and active communities\. For new projects, this maturity means launching into an established environment where users and integrations already exist\. ### 🔐 Security Backed by Ethereum Arbitrum rollups ultimately post back to Ethereum blockchain, ensuring that applications benefit from Ethereum’s decentralization and security model\. Developers can confidently scale Ethereum dApps while knowing their core settlement layer is battle\-tested\. ## Challenges & Considerations of Arbitrum Chain ### ⬇️ Dependency on Ethereum Although Arbitrum offers low\-cost execution, final settlement still depends on Ethereum mainnet\. If gas spikes on Ethereum, posting rollup transaction data becomes more expensive, which developers should account for\. ### ⏰ Fraud\-Proof Delays Because Arbitrum uses optimistic rollups, withdrawals to Ethereum can take several days while the fraud\-proof window is open\. Although liquidity providers often bridge around this, dApps must design with these delays in mind\. ### 🥊 Growing Competition Arbitrum faces competition from other scaling solutions like Optimism, zkSync, and Polygon zkEVM\. Each comes with trade\-offs in throughput, cost efficiency, or developer tools\. Still, Arbitrum remains the largest optimistic rollup by adoption and TVL\. Despite these trade\-offs, the Arbitrum blockchain remains a proven platform with strong developer support and active community governance through the **Arbitrum DAO**\. ## Real\-World Use Cases and Ecosystem Highlights Arbitrum has quickly grown into one of the largest ecosystems in Web3: - **DeFi**: Protocols like Uniswap, Aave, and GMX thrive on Arbitrum thanks to lower transaction fees and deep liquidity\. - **NFTs**: Arbitrum supports Ethereum’s NFT standards \(ERC\-721, ERC\-1155\), enabling deployment of non\-fungible asset types for gaming, DeFi, and other project needs\. - **Gaming**: High throughput and low costs make Arbitrum ideal for decentralized applications \(dApps\) in gaming\. - **Consumer apps**: Projects onboarding new users benefit from the smooth UX of cheap, fast transactions\. ## Arbitrum vs\. Other Blockchains - **Arbitrum vs\. Ethereum**: Ethereum blockchain provides unmatched decentralization, but Arbitrum scales Ethereum by offering faster, cheaper execution while settling on mainnet\. - **Arbitrum vs\. Optimism**: Both are optimistic rollups, but Arbitrum has achieved greater adoption and ecosystem maturity\. - **Arbitrum vs\. zkRollups**: zkSync and Polygon zkEVM offer shorter withdrawal times, but Arbitrum’s developer experience and existing integrations make it easier to adopt today\. - **Arbitrum vs\. Layer\-1s \(Avalanche, Solana, etc\.\)**: Independent Layer\-1s offer sovereignty but don’t inherit Ethereum’s security\. Arbitrum’s strength is scaling Ethereum directly\. ## How OneSource Supercharges Building on Arbitrum Many providers expose raw RPC methods and leave developers to parse responses themselves\. OneSource takes a different approach\. Our infrastructure uses Arbitrum RPC under the hood, but we deliver structured blockchain data through a GraphQL API\. This makes [querying transaction data, contract state, or balances](https://onesource.io/solutions/balances) cleaner and more efficient\. Here’s what OneSource brings to the Arbitrum network: - **GraphQL\-powered API access** — structured, application\-ready blockchain data\. - **Elastic scaling** to handle transaction processing spikes\. - **Real\-time usage tracking and monitoring** across your dApps\. - **Cross\-chain flexibility** — expand seamlessly from Arbitrum to Ethereum, Avalanche, Base, Optimism, or Shape\. - **Simplified developer workflows** — query exactly what you need without parsing raw responses\. ## Getting Started with Arbitrum on OneSource It takes just a few steps to start building: 1. **Sign up free**: [Create your OneSource account](https://app.onesource.io/signup)\. 2. **Connect**: Access Arbitrum data directly through the OneSource GraphQL API\. 3. **Deploy**: Launch decentralized applications using Solidity and Ethereum programming languages\. 4. **Scale**: Use built\-in analytics to monitor and optimize performance\. From idea to deployment, OneSource makes **Arbitrum work** simple for developers\. ## The Future of Arbitrum Web3 Arbitrum is evolving rapidly with upgrades like Arbitrum Nitro, which further improve throughput and reduce transaction fees\. Governance is coordinated through the Arbitrum DAO, where token holders shape the protocol’s future\. As part of the wider Ethereum ecosystem, Arbitrum is set to remain a cornerstone scaling solution for decentralized applications\. By supporting Arbitrum from day one, OneSource gives developers the infrastructure to scale Ethereum dApps efficiently, without the complexity of running nodes or parsing raw RPC data\. ## Ready to Build on Arbitrum? Arbitrum is the most widely adopted optimistic rollup, offering high throughput, cost efficiency, and the security of Ethereum mainnet\. For developers, it’s an ideal way to scale Ethereum without losing trust or compatibility\. With OneSource, you can [build on Arbitrum blockchain faster and smarter](https://bpcontent.looksee.xyz/one-source-page/chains/arbitrum/)\. Our GraphQL\-powered API provides structured data, real\-time analytics, and seamless cross\-chain support — so you can focus on shipping\. 👉 Ready to start? Explore Arbitrum on OneSource today and bring your next project to life\. ## FAQs ### 1\. What is Arbitrum blockchain? Arbitrum is a Layer\-2 scaling solution for the Ethereum blockchain, developed by Offchain Labs\. It uses optimistic rollups to deliver high throughput and lower transaction fees while inheriting Ethereum’s security\. ### 2\. Why should developers build on Arbitrum? Arbitrum offers cost efficiency, fast transaction processing, and seamless EVM compatibility, making it easy to scale Ethereum dApps at lower cost\. ### 3\. How does Arbitrum compare to Ethereum? Ethereum provides the most secure and decentralized settlement layer, while Arbitrum scales Ethereum by batching transaction data off\-chain and reducing fees\. ### 4\. What programming languages are used on Arbitrum? Arbitrum is fully EVM\-equivalent, so developers can use Ethereum programming languages like Solidity and familiar tools such as Hardhat and Remix\. ### 5\. What is the Arbitrum DAO? The Arbitrum DAO governs the Arbitrum network, allowing token holders to vote on upgrades and protocol changes\. ### 6\. How can I build on Arbitrum with OneSource? Sign up for a free OneSource account, connect to Arbitrum endpoints, and query blockchain data through our GraphQL\-powered API for faster, cleaner integrations\. ---------------------------------------------------------------------- title: "Using Testnets & Faucets to Test & Deploy dApps, Fast\\!" description: "Explore multichain environments, get test tokens safely, and use blockchain testnets and faucets to test and deploy your dApp faster\\." source: "https://onesource.io/blog/using-testnets-faucets-to-test-deploy-dapps-faster" last_updated: 2025-12-03T08:24:57.000Z published: 2025-11-18T02:28:13.000Z author: "Beyond" tags: "Learn" ---------------------------------------------------------------------- > Deploying a decentralized application \(dApp\) to mainnet is one of the most exciting milestones in any developer’s journey — but it’s also where things can go wrong\.\.\. High gas fees, unexpected reverts, and untested logic can turn a simple deployment into an expensive mistake\. That’s why testnets and faucets exist: they make it possible to simulate the full deployment process in a safe, low\-stakes environment that behaves almost exactly like the real thing\. Testnets are the practice grounds of Web3\. They let you deploy, test, and debug your smart contract functionality without spending live crypto or risking your project’s reputation\. Faucets, on the other hand, act as the fuel stations of these environments — distributing small amounts of test tokens you can use to pay for gas during development\. Together, they make it possible to build confidently and iterate quickly, whether you’re experimenting with an ERC\-20 token, a DeFi protocol, or a complex multi\-chain bridge\. This article explores how testnets and faucets fit into your web3 testing workflow, how to choose the right networks, and how to optimize testing for [faster and safer deployments](https://onesource.io/blog/best-practices-for-launching-a-web3-app)\. We’ll draw on OneSource’s multi\-chain experience and share best practices for developers building the next generation of decentralized apps\. ## Why Testnets Matter for Web3 Development So what are testnets? If mainnet is the stage, testnets are the rehearsal rooms — the places where developers fine\-tune performance, debug contracts, and refine UX before going live\. A testnet mirrors the structure and behavior of its mainnet counterpart: the same virtual machine, consensus rules, and transaction flow, but powered by valueless tokens instead of real crypto\. That simple distinction makes testnets indispensable\. They provide a safe environment for experimentation, letting developers test smart contracts, interact through wallets like MetaMask or Phantom, and observe their behavior via block explorers such as Etherscan or Solscan — all without risking capital\. Every major blockchain offers its own version of this sandbox\. Ethereum has Sepolia, Avalanche runs Fuji, Solana maintains Devnet and Testnet, while emerging ecosystems like [Base](https://bpcontent.looksee.xyz/one-source-post/build-on-base-blockchain-with-the-onesource-api/) and [Shape](https://bpcontent.looksee.xyz/one-source-post/build-on-shape-blockchain-with-onesource/) have built dedicated testing layers\. Each one operates independently but stays aligned with mainnet logic, so contracts behave predictably across both environments\. In practice, testnets bridge the gap between local simulation and live deployment\. They expose developers to real\-world conditions — fluctuating gas prices, network congestion, and latency — that local frameworks can’t fully reproduce\. This makes them essential for verifying function calls, event emissions, gas usage, and front\-end integration before moving to production\. By using testnets effectively, teams can shorten feedback loops, identify vulnerabilities early, and deliver more resilient dApps\. In Web3 development, they’re not just a convenience — they’re a critical step toward shipping secure, high\-performance applications\. ### Benefits of Testing on a Dedicated Blockchain Testing on a live\-like network offers benefits that no local simulation can match\. Local environments, while great for rapid iteration, can’t accurately reflect gas behavior, network congestion, or RPC delays\. Testnets introduce those real\-world variables, forcing developers to fine\-tune contract logic and optimize performance before mainnet\. Developers can also validate contract upgrades, experiment with oracles or APIs, and simulate the full lifecycle of a dApp — from initial deployment to complex cross\-chain interactions\. Because every transaction is recorded on\-chain, testnets make it easy to audit workflows and verify how contracts behave in response to external triggers\. The result is more resilient, better\-tested code; the foundation of any reliable Web3 product\. ## How Faucets Fit Into the dApp Development Cycle Once you’ve connected to a testnet, you’ll need tokens to perform transactions and deploy contracts\. Faucets provide those tokens for free, distributing small amounts of test cryptocurrency that act as your gas supply\. It’s designed to make testing accessible without introducing friction or financial barriers\. Without faucets, testnets would be unusable — you’d have no way to pay for the gas that powers every contract interaction\. ### How Crypto Faucets Work A faucet typically operates through a simple web interface\. Developers connect their wallet, complete a verification, and request tokens\. Within seconds, a small balance appears — usually between 0\.1 and 1 test token, enough to perform hundreds of transactions\. These tokens are valueless, but they behave exactly like their real counterparts\. Sending Sepolia ETH on Ethereum testnet or SOL on Solana Devnet incurs gas fees, triggers on\-chain events, and updates wallet balances — all identical to the main network\. Most faucets limit how often you can claim tokens from the same address to prevent spam and some even require GitHub or Twitter verification to ensure fair distribution\. This system helps maintain availability and keeps the network stable for everyone\. ### Best Practices for Using Faucets Always use official faucet links provided by the network’s foundation or documentation\. Fake faucets are a recurring problem in Web3 — some mimic official interfaces to steal wallet data or request unnecessary permissions\. A legitimate faucet will never ask for private keys, seed phrases, or payments\. It’s also wise to maintain dedicated test wallet addresses\. This isolates your testing activity from mainnet assets and keeps your private keys safe\. Lastly, track faucet availability across your team\. In collaborative projects, shared documentation for faucet URLs, RPC endpoints, and block explorers ensures consistency and minimizes setup time when onboarding new developers\. ## How to Test & Deploy Your dApp Using Testnets and Faucets Testing a dApp properly involves more than deploying a contract and calling a few functions\. It’s a process of iteration, feedback, and refinement\. The following workflow illustrates how testnets and faucets fit into a modern Web3 development cycle\. ### Step 1: Choose the Right Network & Testnet Your choice of testnet will depend on the stack you’re building with and the networks your users will interact with\. - **Ethereum** remains the default environment for Solidity developers\. Its Sepolia testnet replicates the mainnet experience closely, with support for the latest Ethereum Virtual Machine \(EVM\) upgrades\. It’s ideal for dApps focused on DeFi, NFTs, or DAO infrastructure\. - **Optimism and Arbitrum** cater to developers working on Layer\-2 solutions\. These networks use rollup technology to bundle transactions off\-chain, dramatically lowering costs and improving speed\. Testing on their respective testnets allows you to experiment with cross\-chain bridging and scaling strategies before deploying to production\. - **Shape and Base **represent newer ecosystems designed with developer experience in mind\. Shape’s testnet supports modular scaling, making it perfect for performance\-intensive dApps\. Base, built by Coinbase, offers a secure and user\-friendly environment tailored to consumer applications and Web2\-to\-Web3 onboarding flows\. - **Avalanche’s** Fuji testnet is a go\-to for developers exploring subnets or high\-speed dApp deployment\. It mirrors Avalanche’s consensus and EVM\-compatible C\-Chain environment while allowing full experimentation with custom blockchains\. - **Solana’s** Devnet and Testnet offer high throughput and low latency — perfect for AI\-integrated, data\-intensive, or gaming dApps\. Solana’s test environments support complex concurrent processing, letting developers push the limits of performance before moving to mainnet\-beta\. ### Step 2: Configure Your Wallet Once you’ve selected a testnet, connect your wallet to it\. For EVM chains, this typically means adding the network via Chainlist or manual RPC input\. Solana developers can switch clusters directly in Phantom or Solflare\. Using a dedicated test wallet prevents accidental exposure of production funds and simplifies faucet requests\. ### Step 3: Get Test Tokens Getting test tokens should be effortless, but security awareness is essential\. Because faucets distribute free assets, they’re often mimicked by malicious actors hoping to capture wallet permissions\. Always verify faucet URLs through a chain’s official documentation or developer hub\. When requesting tokens, you’ll connect your wallet, confirm your address, and complete a CAPTCHA or GitHub verification\. Tokens appear in your wallet within seconds and can be used immediately to pay for transaction fees during deployments, contract interactions, and front\-end testing\. Never provide private keys or sign transactions when claiming test tokens\. Faucets only require a standard wallet connection — nothing more\. Maintaining a dedicated testing wallet further minimizes risk and keeps your environment clean\. ### Step 4: Deploy & Simulate Deploy your contracts using your preferred development framework\. EVM developers often rely on Hardhat, Foundry, or Truffle, while Solana developers use Anchor or the Solana CLI\. Once deployed, simulate real\-world behavior: - Send transactions through your dApp’s interface; - test multi\-sig logic; - validate event emissions; - monitor gas usage\. Debug logs and transaction hashes from testnets are invaluable for understanding how your code behaves under real blockchain conditions\. ### Step 5: Iterate, Debug & Prepare for Mainnet Testing is rarely linear\. You’ll likely deploy multiple versions of your contract, address different bugs, and adjust configurations as you go\. The goal is consistency — ensuring that every function executes as expected regardless of timing or state changes\. When your contract behaves reliably across multiple testnets, it’s time for pre\-mainnet steps: audit your code, verify contract source, secure environment variables, and test your final deployment scripts one more time\. ## Best Testnets for dApp Testing in 2025 The testnet landscape in 2025 is richer and more stable than ever\. Here’s a brief blockchain faucet and testnet guide depending on your chosen blockchain technology: ### Ethereum Testnet Ethereum’s Sepolia has cemented its roles as the standard testing environment for Solidity developers, supporting the latest upgrades and maintaining active validator communities, ensuring high uptime and realistic gas dynamics\. According to the [Solidity Developer Survey 2024](https://www.soliditylang.org/blog/2025/04/25/solidity-developer-survey-2024-results), most participants use an Ethereum blockchain specific Integrated Developer Environment \(IDE\) for testing **\(28\.3%\)**, closely followed by production deployment **\(24\.6%\)**, quick prototyping** \(18\.6%\)**, gas optimisation **\(15\.5%\)**, and CI/CD testnet **\(12%\)**\. This reinforces just how routine pre\-mainnet testing has become\.  ### OP & ARB Testnets [Optimism](https://bpcontent.looksee.xyz/one-source-page/chains/optimism/) and [Arbitrum](https://bpcontent.looksee.xyz/one-source-page/chains/arbitrum/) dominate the Layer\-2 testing space\. Developers building rollup\-based dApps use these environments to measure latency, cost efficiency, and interoperability\. Their active developer ecosystems make debugging and benchmarking easier than on mainnet\. ### Shape & Base Testnets Emerging platforms like [Shape](https://bpcontent.looksee.xyz/one-source-page/chains/shape/) and [Base](https://bpcontent.looksee.xyz/one-source-page/chains/base/) offer developer\-first features that reduce setup friction\. Shape provides flexible scaling architecture ideal for infrastructure experiments, while Base offers an accessible entry point for Web2 developers moving into Web3\. ### Avalanche Testnet [Avalanche’s](https://bpcontent.looksee.xyz/one-source-post/build-on-avalanche-with-onesource/) Fuji remains a favorite for testing cross\-chain interoperability and subnet performance\. Solana’s Devnet and Testnet continue to lead in speed and parallel execution — a key advantage for dApps built around real\-time data and AI\-driven processes\. By testing across multiple networks, developers gain an understanding of gas volatility, transaction finality, and performance trade\-offs — essential insights for teams pursuing multi\-chain deployment strategies\. ## Faster Deployments: Optimizing Your Workflow ### Speed is Critical Once your test environments are reliable, the next focus should be efficiency — how fast you can build, test, and deploy without compromising quality\. ### Parallel Testing Parallel testing across multiple chains helps identify potential bottlenecks early\. Deploying simultaneously on Sepolia, Arbitrum, and Fuji, for example, can highlight how transaction volume or block time affects your contract’s behavior\. ### Automation CI/CD pipelines can automatically compile, deploy, and verify contracts every time you push code\. Hardhat and Foundry integrate easily with GitHub Actions or GitLab CI, allowing developers to catch errors instantly rather than manually deploying for every change\. AI is already [reshaping how developers test and deploy dApps](https://bpcontent.looksee.xyz/one-source-post/how-ai-is-transforming-the-software-development-lifecycle/)\. Machine learning models can detect contract vulnerabilities, optimize gas consumption, and even generate comprehensive test suites based on your codebase\. Some teams now use AI\-driven analytics to parse transaction logs and detect patterns that human reviewers might miss\. Others leverage AI to suggest efficient deployment scripts or identify likely points of failure before code ever reaches mainnet\. ### Consistency Store environment variables securely and use deterministic builds so that every team member’s test runs under identical conditions\. This reduces “it works on my machine” issues and ensures reproducibility\. ## Common Pitfalls to Avoid When Using Testnets & Faucets Even experienced developers make mistakes during testing\. Deploying to the wrong network is one of the most common — an error that can waste real tokens and time\. Always double\-check your chain ID, [RPC endpoints and API connections](https://bpcontent.looksee.xyz/one-source-post/web3-api-vs-rpc-node/) before executing a deploy script\. Another recurring issue is using production wallets in testing environments\. Testnets may be safe, but your private keys are not; always maintain separate wallets for testing to prevent accidental fund exposure\. Fake faucets are a constant threat, and if a faucet ever requests unusual wallet permissions, payment, or private information, close it immediately\. Legitimate faucets are free and never require signatures\. Unfortunately, Chainalysis’ 2025 report finds [private key compromises accounted for 43\.8% of stolen crypto](https://www.chainalysis.com/blog/crypto-hacking-stolen-funds-2025) in 2024\. Don’t expose yourself to that risk through faucet requests\.  Finally, don’t assume gas behavior on testnets matches mainnet conditions\. Network congestion, validator performance, and transaction volume differ across environments\. Use testnets to approximate behavior — not to guarantee it\. Always leave a margin for mainnet variance when budgeting gas and execution time\. ## Pre\-Mainnet Checklist Before going live, confirm every layer of your setup is secure and reproducible: - Contracts should be audited, verified, and documented - RPC endpoints should be reliable, with backup nodes available - Environment variables should be encrypted and safely stored Monitoring tools are equally vital\. Track: - Real\-time gas data - Transaction success rates - Contract logs This will allow you to react quickly if something fails during deployment\. Finally, always have a rollback plan — a set of scripts and procedures that let you revert safely if mainnet deployment doesn’t go as planned\. ## Ready to Test Your dApp? Testnets and faucets form the backbone of safe, efficient dApp development\. They allow teams to innovate freely, catch issues early, and deploy with confidence\. Whether you’re working on [Ethereum](https://onesource.io/chains/ethereum), Solana, or a new Layer\-2, incorporating structured testnet workflows into your process ensures reliability, scalability, and trust\. As automation and AI continue to evolve, developers who embrace these systems will move faster and deploy smarter — setting the standard for the next generation of decentralized innovation\. ## FAQs ### 1\. What is a testnet? A testnet is a blockchain that mirrors mainnet but uses valueless tokens, enabling developers to test safely without risking real assets\. ### 2\. What is a faucet? A faucet provides free test tokens used to pay gas fees on testnets for contract deployment and transactions\. ### 3\. How do I get test tokens securely? Use only official faucets listed in a network’s documentation or GitHub repository\. Never sign unusual permissions or send funds to claim test tokens\. ### 4\. Which testnets should I use? Choose the network that matches your target deployment: Sepolia for Ethereum, Optimism or Arbitrum for Layer\-2, Fuji for Avalanche, and Devnet/Testnet for Solana\. ### 5\. Can I test on multiple networks? Yes\. Multi\-chain testing reveals performance differences, gas variance, and cross\-chain logic issues early\. ### 6\. Are testnet tokens real? No\. They carry no market value and exist only for development purposes\. ### 7\. How does AI assist in web3 developer testing? AI automates code audits, test generation, and gas optimization, helping developers reduce testing cycles and deploy faster\. ## Stay Ahead with Blockchain Insights Subscribe to receive the latest data trends, product updates, and expert insights from OneSource — your guide to the evolving world of Web3\. *Email signup form* ---------------------------------------------------------------------- title: "Build on Base\\! Web3 Developers, Meet Coinbase’s Layer\\-2" description: "OneSource now supports web3 developers building on Base\\! Discover Coinbase’s Layer\\-2, and how the OneSource API makes it easy to scale\\." source: "https://onesource.io/blog/build-on-base-blockchain-with-the-onesource-api" last_updated: 2025-11-21T11:02:37.000Z published: 2025-11-10T10:55:41.000Z author: "Beyond" tags: "Announcement" ---------------------------------------------------------------------- > We’re excited to announce that OneSource now supports Base — Coinbase’s new Layer\-2 blockchain technology built on the OP Stack\. Developers can tap into high\-performance API endpoints for Base directly through OneSource\. ## Introducing Base on OneSource 🚀 Decentralized applications \(dApps\), DeFi protocols, [NFT marketplaces](https://onesource.io/blog/optimizing-nft-media-retrieval-with-onesource), and on\-chain games can launch faster, scale more easily, and stay reliable under pressure\. No downtime\. No node headaches\. Just clean, developer\-friendly infrastructure designed to grow with you\. Base has quickly become one of the most talked\-about ecosystems in Web3, and for good reason\. Backed by Coinbase’s 100\+ million verified users, it promises to bring the next wave of mainstream adoption\. In this article, we’ll explore why Base is worth your attention, how it stacks up against other chains, and how OneSource makes it easier than ever to build\. ## What is Base Chain? A Quick Overview Developed by Coinbase, Base is a Layer\-2 blockchain that leverages the OP Stack, a modular framework designed by Optimism\. Like other [optimistic rollups](https://www.moonpay.com/learn/blockchain/what-are-rollups-zk-rollups-and-optimistic-rollups), Base processes transactions off\-chain, then submits them back to Ethereum for final settlement\. This design keeps gas fees low, reducing costs, while maintaining Ethereum\-level security\. The result is a scalable, developer\-friendly environment that’s fully EVM\-compatible\. But Base isn’t just another rollup\. It’s backed by Coinbase — giving it unmatched distribution potential\. And with its commitment to open\-source development and the vision of the Superchain, Base is positioning itself as a core piece of Web3’s future\. ## Why Are Developers Building on Base Blockchain? Developers are increasingly choosing Base because it combines benefits from Ethereum like its [security and decentralization](https://www.moonpay.com/learn/blockchain/what-is-base-chain), with the scale of L2 networks and the reach of Coinbase\. Unlike some rollups that position themselves as experimental or niche, Base has been designed from day one to serve mainstream users and real\-world applications\. If your goal is to reach the largest possible audience without sacrificing performance or decentralization, Base is a compelling choice\. Some of the reasons include: - **Lower fees**: Transactions on Base are a fraction of those on Ethereum mainnet, making it a cost effective Web3 platform\. - **Ethereum security**: Base inherits the settlement security of Ethereum, ensuring trust in the network\. - **Coinbase integration**: Developers can tap into Coinbase’s user base, wallets, and liquidity pools\. - **Familiar tooling**: Full EVM compatibility means no steep learning curve\. - **Future interoperability**: As part of the OP Stack, Base is aligned with the Superchain vision, making it easier to connect with other rollups\. ## The Technical Edge: How Base Works Base uses Optimistic Rollup technology, meaning transactions are assumed valid \(“optimistic”\) when submitted to Ethereum, with fraud proofs available if disputes arise\. Here’s the flow in simple terms: 1. **Users send transactions** to Base\. 2. **Transactions are executed** off\-chain in the Base environment\. 3. **Batches of transactions** are bundled and submitted to Ethereum\. 4. **Fraud proofs** can challenge incorrect batches, maintaining integrity\. This approach dramatically reduces gas costs while preserving Ethereum’s security model\. For developers, it means you get a chain that’s both cheap to use and secure enough for serious applications\. ## Key Benefits of Base for Developers ### Cost Efficiency Without Compromise Gas fees on Base are significantly lower than Ethereum mainnet\. For builders, that means experimenting with new features, running test deployments, or supporting high\-volume user activity without worrying about costs spiraling\. ### Seamless Ethereum Compatibility Because Base is EVM\-compatible, everything you’ve built on Ethereum can run on Base with little to no modification\. Smart contracts, developer tools, wallets — they all work out of the box\. ### Mainstream Reach Through Coinbase Coinbase has over **100 million verified users** and more than **$80 billion in assets** under custody\. By building on Base, you’re not just accessing a technical platform — you’re positioning your app to reach one of the largest crypto audiences in the world\. ### Developer Ecosystem and Grants Coinbase and Base are investing heavily in ecosystem growth\. Hackathons, developer grants, and partnership programs are creating fertile ground for new ideas to take root\. ## Challenges & Considerations No chain is perfect, and Base is no exception\. - **Reliance on Ethereum**: Base’s costs are tied to Ethereum’s fees\. If mainnet gas spikes, it affects rollup settlement costs\. - **Early ecosystem stage**: Compared to Optimism and Arbitrum, Base is still maturing\. Some developer tooling and integrations may lag\. - **Evolving OP Stack roadmap**: As Optimism evolves the stack, Base will adapt — meaning developers need to stay up to date with changes\. That said, early builders stand to benefit most, gaining visibility in a growing ecosystem\. ## Real\-World Use Cases and Examples Despite being relatively new in the blockchain ecosystem, Base has already attracted exciting projects across different verticals: - **DeFi**: Protocols are expanding to Base to capture liquidity from Coinbase users while keeping fees low\. - **NFTs**: Creators are choosing Base to mint collections at scale without pricing out their communities\. - **Gaming**: On\-chain games can run thousands of transactions cheaply, enabling new economic models\. - **Consumer apps**: Apps that want to onboard mainstream users benefit from Coinbase’s trusted brand and wallet integrations\. A developer journey might look like this: - Connect your Coinbase Wallet or MetaMask to Base\. - Use familiar Ethereum tools like Hardhat or Foundry to deploy your smart contract\. - Mint NFTs using Thirdweb, with near\-zero gas fees\. - Share them with users who can onboard seamlessly through Coinbase’s ecosystem\. The simplicity of this workflow lowers the barrier for developers and accelerates adoption\. ## Base vs\. Other Layer\-2s One of the most common questions developers ask is: *[Why Base](https://bpcontent.looksee.xyz/one-source-page/chains/base/) instead of other rollups like Optimism or Arbitrum?* - **Base vs\. Optimism**: Both use the OP Stack, but Base has the strategic advantage of Coinbase’s massive user base and liquidity access\. [Optimism](https://bpcontent.looksee.xyz/one-source-page/chains/optimism/), meanwhile, has a more mature ecosystem of DeFi protocols and governance tooling\. - **Base vs\. Arbitrum**: [Arbitrum](https://bpcontent.looksee.xyz/one-source-page/chains/arbitrum/) has been a leader in transaction throughput and adoption, but it doesn’t have the same mainstream funnel that Coinbase brings\. Base’s edge lies in distribution\. - **Base vs\. Polygon**: Polygon offers multiple scaling solutions \(PoS, zkEVM, etc\.\), but Base stays tightly aligned with [Ethereum](https://bpcontent.looksee.xyz/one-source-page/chains/ethereum/) and the OP Stack vision, making it simpler for developers focused on interoperability\. - **Base vs\. Avalanche or Shape**: [Avalanche](https://bpcontent.looksee.xyz/one-source-page/chains/base/) and [Shape](https://bpcontent.looksee.xyz/one-source-page/chains/shape/) focus on modular subnets and custom execution environments\. Base is less about customization and more about scaling Ethereum apps with mass\-market accessibility\. For developers planning a multi\-chain strategy, Base is a natural complement to existing deployments\. ## How OneSource Supercharges Building on Base With OneSource, building on Base becomes even easier\. Instead of managing your own infrastructure, you get plug\-and\-play access to optimized endpoints, making Base blockchain data easily accessible and ready to use\. Our OneSource API integrates seamlessly with Base blockchain data, using GraphQL to deliver structured, application\-ready data\. Rather than returning raw blockchain responses, we enable developers to make precise, efficient queries without needing to manage or interpret low\-level RPC interactions themselves\.  Here’s how OneSource supports Basechain developers: - **High\-performance API endpoints** purpose\-built for Base’s OP Stack\. - **Elastic scaling** to handle sudden traffic spikes without downtime\. - **Multi\-chain workflows** — expand beyond [Base](https://bpcontent.looksee.xyz/one-source-post/build-on-base-blockchain-with-the-onesource-api/) to Ethereum, Optimism, [Arbitrum](https://bpcontent.looksee.xyz/one-source-post/build-on-arbitrum-blockchain-with-onesource/), [Avalanche](https://bpcontent.looksee.xyz/one-source-post/build-on-avalanche-with-onesource/), and Shape\. ## Getting Started on Base with OneSource Here’s how to go from idea to live dApp in minutes: 1. **Sign up for free**: [Create your OneSource account](https://onesource.io/get-started) — no credit card required\. 2. **Connect your app**: Use our dashboard to access Base RPC and API endpoints\. 3. **Deploy**: Push your smart contracts or dApp using the same Ethereum tools you already know\. 4. **Monitor and scale**: Use built\-in analytics to track usage and performance across Base\. Whether you’re deploying DeFi platforms, minting NFTs, or building a game, OneSource takes care of the infrastructure so you can focus on the product\. ## The Future of Base Base isn’t just about scaling Ethereum\. By adopting the OP Stack and contributing to its development, it’s part of a broader vision: the Superchain\. The Superchain is a network of interoperable rollups that share security, communication, and liquidity\. For developers, it means apps can interact across chains seamlessly — reducing fragmentation and boosting user adoption\. By building on Base now, you’re not only launching into Coinbase’s ecosystem — you’re positioning yourself for the next stage of Web3’s evolution\. ## Why Build on Base with OneSource Base is quickly becoming one of the most attractive chains for developers: low fees, Ethereum security, Coinbase’s reach, and the promise of the Superchain\. With OneSource, you get the infrastructure to build confidently\. From reliable endpoints to real\-time monitoring and multi\-chain expansion, we give you everything you need to scale\. 👉 Ready to start building? [Get Started](https://onesource.io/get-started) with Base on OneSource today and bring your next project to life\. ## FAQs ### What is Base blockchain? Base is a Layer\-2 blockchain built by Coinbase on the OP Stack\. It processes transactions off\-chain and settles them on Ethereum, reducing gas fees while maintaining security\. ### Why should developers build on Base? Developers choose Base for its low fees, Ethereum\-level security, and seamless EVM compatibility\. Backed by Coinbase’s user base, it offers unique distribution advantages\. ### How does Base compare to Optimism or Arbitrum? Base, Optimism, and Arbitrum all use optimistic rollups, but Base benefits from Coinbase integration, giving projects easier access to mainstream users and liquidity\. ### Is Base EVM\-compatible? Yes\. Base is fully EVM\-compatible, meaning Ethereum smart contracts and tools work seamlessly without modification\. ### What are the main use cases for Base? Base supports DeFi protocols, NFT marketplaces, on\-chain games, and consumer apps aiming to onboard mainstream crypto users with low\-cost, scalable infrastructure\. ### How do I start building on Base with OneSource? You can sign up for a free OneSource account, connect to the OneSource Base API endpoints, and deploy dApps using familiar Ethereum development tools\. ### What is the Superchain and how does Base fit in? The Superchain is a vision for interconnected rollups using the OP Stack\. Base contributes to this ecosystem, enabling cross\-chain interoperability and future scalability\. ### Does Base have lower gas fees than Ethereum? Yes\. Base significantly reduces transaction fees compared to Ethereum mainnet by processing transactions off\-chain and batching them for settlement\. ---------------------------------------------------------------------- title: "Build on Shape: Creator\\-First Blockchain with OneSource" description: "What is Shape blockchain? Learn why developers are building on Shape chain, its rewards, and how OneSource Web3 API makes development easier\\." source: "https://onesource.io/blog/build-on-shape-blockchain-with-onesource" last_updated: 2025-11-21T11:17:38.000Z published: 2025-11-05T06:21:46.000Z author: "Beyond" tags: "Announcement" ---------------------------------------------------------------------- > We’re excited to announce that OneSource now supports Shape chain, a new entrant in the Web3 ecosystem designed specifically for creators\. ## Announcing Shape on OneSource [Developers can now build on Shape](https://onesource.io/chains/shape) using OneSource’s Blockchain Data API, gaining structured, application\-ready blockchain data instead of wrangling raw RPC responses\. Shape is part of the Optimism Superchain, combining low fees, EVM compatibility, and unique reward mechanics with a community\-first vision\. For creators, builders, and teams exploring fresh opportunities in the decentralized economy, the combination of Shape and OneSource offers a powerful starting point\. ## What is Shape Chain? A Quick Overview Shape is a Layer\-2 built with the OP Stack, [designed for creators, artists, and experimental builders](https://brianwongjh.medium.com/an-intro-to-shape-the-layer-2-for-creators-and-8463d23d6cd3)\. As a blockchain network, Shape combines familiar Ethereum smart contracts with incentives tailored for a new generation of decentralized applications \(dApps\)\. While most blockchains emphasize scale or speed, Shape sets itself apart by building culture and community into its design\. Technically, Shape is EVM equivalent, meaning anything that runs on Ethereum can run on Shape without modification\. Developers can use Solidity, Hardhat, Remix, or any Ethereum\-compatible tool and deploy directly to Shape with little friction\. Shape also introduces a novel incentive: the Gasback program\. With Gasback, 80% of sequencer fees are returned to contract owners, turning transaction activity into a direct reward for builders\. This approach makes Shape not just affordable to use, but actively rewarding for those who grow its ecosystem\. ## Why Build on Shape? Shape is positioned as one of the most creator\-friendly Web3 platforms\. Combining Ethereum’s security with incentive structures that reward developers, building on Shape blockchain offers several compelling advantages: - **Cost efficiency and Gasback rewards**: Shape’s rollup architecture already delivers lower transaction fees relative to Ethereum mainnet, and the Gasback program returns [80% of sequencer fees to contract owners](https://l2beat.com/scaling/projects/shape), aligning incentives so that developers benefit as users build and transact\. - **EVM compatibility with familiar tools**: As a rollup built on the OP Stack, Shape supports existing Ethereum tooling like Solidity, Hardhat, and Remix, enabling fast deployment of smart contracts without significant rework\. - **Creator\-first culture and ecosystem focus**: Shape emphasizes creative work, art, experimentation, and community\. It aims to support creators and artists by [rewarding contract owners](https://www.superchain.eco/insights/shape-joins-the-superchain-empowering-creators), valuing cultural contributions, and building dedicated infrastructure for NFTs and experimental applications\. - **Superchain integration and shared standards**: As part of the Optimism Superchain, Shape benefits from shared governance, protocols, and infrastructure standards that facilitate trust, interoperability, and future ecosystem growth\. ## The Technical Edge: OP Stack Rollups Shape uses the OP Stack rollup architecture, which executes transactions off\-chain and settles them on Ethereum for security and finality\. Here’s how Shape’s technical design gives developers an edge: 1. **Sequencer flow & batching**: Transactions submitted to Shape are ordered via a sequencer and batched efficiently to reduce congestion and cost\. These batches are ultimately posted to Ethereum, inheriting security of the base layer\. 2. **Gasback mechanism**: A standout innovation, the Gasback model returns most sequencer fees \(80%\) to the smart contracts that generated the transactions, helping creators capture value directly from activity on their contracts\. 3. **Data availability & security model**: Shape blockchain data is available for proof and state verification, leveraging OP Stack’s components for state derivation, validation, and security\. While exact metrics of throughput may vary with usage, the architecture is designed to support high\-traffic Web3 apps\. ## Key Benefits of Shape for Developers ### ⚡ Low Fees and Gasback Rewards Every blockchain talks about being cost\-efficient, but Shape takes it a step further\. Transaction fees are already low thanks to rollup technology, but with Gasback, a large portion of those fees flow back to the smart contracts that generated them\. This means that building a dApp on Shape can actually generate revenue for the developer, aligning incentives between users, builders, and the network\. ### 🛠️ EVM Compatibility and Familiar Tools Because Shape is built on the OP Stack, it’s fully compatible with the Ethereum ecosystem\. Developers don’t need to learn new programming languages or frameworks; existing smart contracts, libraries, and tooling can be deployed as\-is\. This lowers the barrier to entry and makes Shape an easy addition for multi\-chain projects already active on Ethereum, Base, or Optimism\. ### 🌐 A Culture\-First Ecosystem Shape markets itself as a chain for creators\. While other blockchains emphasize DeFi dominance, Shape leans into art, culture, and experimentation\. For developers building NFTs, social apps, or community\-driven projects, Shape offers an ecosystem where creative work is not only welcome but incentivized\. ### 🔗 Superchain Membership As part of the Optimism Superchain, Shape isn’t an isolated ecosystem\. It benefits from interoperability with other OP Stack chains, shared security guarantees, and collaborative development across a wider ecosystem\. For builders, this means confidence in infrastructure that can scale alongside user demand\. ## Technical Features & Design Choices Under the hood, Shape’s design offers developers reliable infrastructure for scaling\. - **Throughput**: Shape leverages the OP Stack sequencer model to batch transactions efficiently, reducing congestion and maintaining low fees\. - **Gasback Mechanics**: By routing 80% of sequencer fees back to contract owners, Shape creates an additional incentive for contract deployment\. - **Data Availability**: As an OP Stack chain, Shape relies on Ethereum for security and data availability, ensuring strong guarantees while maintaining lower costs\. - **Chain Details**: Public RPC, chain ID, and block explorer endpoints are readily available through Shape’s developer docs and the Superchain portal\. These design choices ensure Shape isn’t just another Layer\-2, but one with unique economics that reward developers directly\. By combining Ethereum’s security model with a transparent consensus mechanism and incentives like Gasback, Shape demonstrates how blockchain\-based rollups can play a crucial role in expanding the reach of Web3\. ## Challenges and Considerations ### 🚧 Early Ecosystem Growth Shape is new, which means its ecosystem of tools, integrations, and developer libraries is still maturing\. While it’s easy to deploy Ethereum\-compatible contracts, some third\-party services may take time to fully support Shape\. ### 💸 Reward Complexity The Gasback program is innovative, but it introduces new considerations for developers\. Beyond data security and tracking payouts in real time, teams may also need to evaluate how these rewards impact use cases in sectors like financial services or decentralized finance \(DeFi\)\. Smart contract owners will need to account for how rewards are distributed, tracked, and potentially taxed in their jurisdictions\. ### 📚 Documentation and Community Resources As with any young blockchain, Shape’s documentation is evolving\. Developers may find fewer tutorials or guides compared to more established chains like Arbitrum or Avalanche\. The upside is that early adopters have the chance to shape the community and establish best practices\. ## Real\-World Use Cases & Ecosystem Highlights Shape is still early, but its design as a [creator\-first chain](https://brianwongjh.medium.com/an-intro-to-shape-the-layer-2-for-creators-and-8463d23d6cd3) has already inspired projects across different verticals in the Web3 ecosystem: - **DeFi and Financial Services**: Shape’s low fees and Gasback incentives make it attractive for emerging decentralized finance \(DeFi\) protocols, as well as traditional financial services exploring blockchain integration\. - **NFTs and Creative Projects**: With its culture\-first ethos, Shape is a natural home for NFT marketplaces and eye\-catching digital art platforms that thrive on low\-cost minting and trading\. - **Gaming and Social Media Platforms**: Developers experimenting with blockchain\-based games or integrating on\-chain features into social media platforms can leverage Shape’s fast settlement times and creator\-focused incentives\. - **DAOs and Supply Chains**: By lowering the cost of transactions, Shape also opens doors for decentralized autonomous organizations \(DAOs\), as well as use cases in supply chain management where transparency and data security are critical\. ## Shape vs\. Other Blockchains - **Shape vs\. Ethereum**: The [Ethereum](https://bpcontent.looksee.xyz/one-source-page/chains/ethereum/) blockchain provides unmatched decentralization, but Shape extends its functionality by offering cheaper, faster transactions with direct settlement on Ethereum mainnet\. - **Shape vs\. Optimism**: Both are OP Stack rollups, but [Shape](https://bpcontent.looksee.xyz/one-source-page/chains/shape/) differentiates itself with its creator\-first design and unique Gasback rewards model\. - **Shape vs\. Arbitrum**: While [Arbitrum](https://bpcontent.looksee.xyz/one-source-page/chains/arbitrum/) has gained adoption as a general\-purpose rollup, Shape carves out a niche around cultural projects, experimental dApps, and user\-based creativity\. - **Shape vs\. zkRollups**: zkSync and Polygon zkEVM emphasize speed of withdrawals and real\-time proofs\. Shape, by contrast, focuses on incentivizing developers and simplifying the onboarding of creative communities\. - **Shape vs\. Layer\-1s \(Avalanche, Solana, etc\.\)**: Independent Layer\-1s operate their own consensus mechanisms, but Shape benefits from Ethereum’s security guarantees while aligning incentives for developers through Gasback\. ## How OneSource Supercharges Building on Shape Many blockchain infrastructure providers stop at giving developers direct access to raw RPC endpoints\. While powerful, this leaves teams with the task of decoding responses, building indexers, and managing rate limits\. OneSource takes a different approach\. Instead of exposing raw methods, we surface structured blockchain data through a GraphQL API\. Developers can query exactly what they need — token balances, NFT ownership, transaction data — in a single request\. The result is faster integrations, simpler workflows, and less time spent on infrastructure\. For builders deploying on Shape, OneSource means you can focus on creating applications for users, not maintaining plumbing behind the scenes\. ## Build with Shape on OneSource Building on Shape with OneSource is simple: 1. [Sign up for a free OneSource account](https://onesource.io/get-started)\. 2. Connect to the Shape network directly through the OneSource API — no node setup or infrastructure management required\. 3. Explore and test blockchain data queries in real\-time in our GraphQL playground\. 4. Deploy your dApp knowing your data pipeline is secure, scalable, and production\-ready\. For developers who want to test quickly, OneSource also provides usage dashboards, monitoring tools, and elastic scaling to handle demand as your project grows\. ## Shape’s Role in Web3’s Creator Economy Shape isn’t just another rollup — it’s a blockchain designed to reward builders directly\. With its Gasback program, EVM compatibility, and culture\-first ecosystem, it offers something unique to the Web3 world: a place where creativity and economics align\. Combined with OneSource’s Blockchain Data API, building on Shape becomes even more powerful\. Developers can skip the headaches of raw RPC and focus on shipping products that matter\. 👉 Ready to explore? [Start building on Shape with OneSource today](https://onesource.io/get-started)\. ## FAQs ### 1\. What is Shape blockchain? Shape is a Layer\-2 blockchain built on the OP Stack that supports creators and developers with low fees, Gasback rewards, and full EVM compatibility\. ### 2\. What makes Shape different from other chains? Shape emphasizes culture and creativity\. Unlike chains focused primarily on DeFi, Shape rewards contract owners through Gasback and nurtures an ecosystem for NFTs, art, and community\-driven projects\. ### 3\. How does Gasback work on Shape? Gasback returns 80% of sequencer fees to contract owners, creating a financial incentive for developers to deploy and maintain contracts on Shape\. ### 4\. Is Shape EVM compatible? Yes\. Shape is fully EVM equivalent, meaning smart contracts and tooling from Ethereum can be deployed on Shape without modification\. ### 5\. How can I build on Shape with OneSource? By signing up for OneSource, developers can query blockchain data from Shape using our GraphQL API\. This removes the need to parse raw RPC data and accelerates development\. ### 6\. Is Shape part of the Optimism Superchain? Yes\. Shape is a member of the Optimism Superchain, benefiting from interoperability, shared security, and ecosystem collaboration\. ---------------------------------------------------------------------- title: "How AI Is Rewriting the Rules of Software Development" description: "Learn how AI tools are revolutionizing the software development lifecycle—improve code quality and redefine Web3\\-ready software engineering\\." source: "https://onesource.io/blog/how-ai-is-transforming-the-software-development-lifecycle" last_updated: 2025-11-21T11:18:21.000Z published: 2025-10-30T00:36:53.000Z author: "Beyond" tags: "Learn" ---------------------------------------------------------------------- > Artificial Intelligence \(AI\) has become the defining force behind the next wave of software innovation\. For developers, engineering leads, and tech founders, the question isn’t whether AI will transform the workflow—it’s how profoundly it already has\. This evolution marks a new phase in the AI software development lifecycle—one where every stage, from design to deployment, is augmented by intelligence\. Developers aren’t just writing code anymore; they’re collaborating with AI that can plan, generate, and test alongside them\. ## The New Era of AI\-Driven Development Software has always been shaped by logic and creativity\. Now, AI amplifies both\. By embedding intelligent automation into every layer of the stack, teams can move faster, make better design choices, and free developers from repetitive work\. Across the modern development lifecycle, AI now touches everything: ideation, architecture, coding, testing, deployment, and monitoring\. [According to McKinsey](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/unleashing-developer-productivity-with-generative-ai), developer productivity could rise by **20% to 45%** when AI is effectively deployed\. In live trials with Google engineers, AI assistance shortened task time by **around 21%**, proving that AI is more than a sidekick—it’s a core collaborator\.  What’s more, this transformation isn’t limited to Web2 projects\. In Web3 technology, where decentralization demands high transparency and performance, AI’s ability to automate, predict, and optimize is already changing how builders design blockchain systems and smart contracts\. ## Coding in Tandem: Developers & AI Co\-Pilots AI\-assisted coding is no longer experimental—it’s central to how modern teams build software\. Tools like [GitHub Copilot](https://github.com/features/copilot), [Tabnine](https://www.tabnine.com/), [AWS CodeWhisperer](https://docs.aws.amazon.com/codewhisperer/latest/userguide/whisper-legacy.html), [v0](https://v0.app/) and [Replit Ghostwriter](https://replit.com/) have redefined developer productivity by pairing AI code generation tools with real\-time feedback loops\. These AI pair programming systems are reshaping teamwork, enabling engineers to brainstorm, refactor, and problem\-solve in real time with virtual collaborators that adapt to their style and context\. The result is measurable developer productivity with AI, freeing teams to focus on innovation instead of syntax: - **Generate entire functions or modules** based on a single comment or pseudocode block\. - **Refactor legacy code** to align with modern frameworks, performance standards, or compliance requirements\. - **Write documentation and annotations** inline as code evolves, improving onboarding and knowledge transfer\. - **Translate across programming languages**, e\.g\., from Python to Go, Rust, or Solidity, bridging traditional and blockchain development\. - **Assist with debugging**, using predictive models to analyze compiler logs and recommend targeted fixes\. ### Vibe Coding with AI\-Assistants Another trend reshaping how developers interact with AI is “vibe coding” \- a workflow where the creative intent, mood, or “vibe” of a product is expressed in natural language, and the AI interprets it into working code\. This conversational, design\-led approach turns coding into collaboration, helping teams bridge the gap between creative direction and technical execution in seconds\. Not only does this simplify the coding process, it also accelerates the developer lifecycle by allowing tech leads to focus more on product evolution and functionality rather than coding technicalities\. Tools like v0 enable engineers and designers to describe an interface by feel or intent—“a sleek fintech dashboard” or “a playful onboarding screen”—and watch the system generate React or Next\.js components that capture that aesthetic\. #### Key Characteristics of Vibe Coding - **AI\-driven creation: **Vibe coding relies on large language models \(LLMs\) to translate plain\-language prompts into working code, turning natural conversation into functioning applications\. - **Interactive dialogue:** The process is conversational rather than one\-way\. Developers refine the output through back\-and\-forth exchanges with the AI until the results align with their intent\. - **Rapid, iterative building:** This approach embraces a “build fast, refine continuously” mindset\. Code is generated quickly, then improved through repeated testing and feedback loops\. - **Human\-guided direction:** The developer remains in control, steering the creative and architectural choices while the AI automates repetitive or mechanical coding tasks\. - **Lower barriers to entry:** By replacing complex syntax with intuitive prompts, vibe coding makes software creation more accessible to designers, product thinkers, and newcomers who may not have deep programming experience\. ### Impacts of AI Coding in Blockchain Projects In blockchain and Web3 development, AI systems are already generating, testing, and auditing smart contracts\. They flag vulnerabilities such as re\-entrancy, integer overflow, or unauthorized access and even suggest gas optimizations\. Combined with AI\-powered code review pipelines, this means pull requests are clearer, faster, and easier to merge—cutting friction and reducing bottlenecks across developer environments\. Developer productivity with AI is expected to skyrocket; McKinsey found that developers using AI\-assisted coding tools [completed coding tasks up to twice as fast](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/unleashing-developer-productivity-with-generative-ai), while AI\-assisted review pipelines shortened pull\-request cycles by **over 30%**\. And AI is expected to touch across every stage of the developer lifecycle: ### 1\. Turning Ideas Into Action: AI in Ideation In the earliest stages of the software lifecycle, AI helps transform messy brainstorming into structured project blueprints\. AI\-powered planning assistants such as Notion AI, ClickUp AI, and Jira Assist can: - **Generate user stories** and acceptance criteria based on product goals or stakeholder notes\. - **Cluster customer feedback** into themes and rank pain points by frequency\. - **Predict sprint scope** using historical velocity data\. - **Convert natural language descriptions** into draft technical requirements\. For example, a founder can describe a product vision in plain English, and an AI agent will propose user stories, data models, and even early UI wireframes within minutes\. In Web3 platforms, these same tools can analyze tokenomics, governance frameworks, or on\-chain user data to refine a decentralized product roadmap\. ### 2\. Designing Smarter Systems: AI in Architecture & UX Once requirements are captured, AI steps in to optimize system design and architecture\. Machine learning models can evaluate past projects to flag potential performance issues before they happen\. Cloud architects can use predictive models to simulate load balancing or forecast infrastructure costs over time\. For user experience and front\-end design, AI delivers new speed and creativity: - **Generative UI tools** like Uizard, Galileo, and Figma AI transform prompts into prototypes or wireframes in seconds\. - **Accessibility analysis** powered by computer vision checks color contrast, spacing, and readability automatically\. - **Predictive engagement modeling** forecasts where users will click, scroll, or bounce—informing layout choices and content hierarchy\. In Web3 ecosystems, where user interfaces must bridge complex on\-chain actions, AI also helps design flows that minimize friction\. It can simulate wallet interactions, analyze gas fee behavior, or model how users respond to [decentralized identity \(DID\) prompts](https://www.dock.io/post/decentralized-identifiers)\. ### 3\. Ensuring Excellence: AI in Testing & Quality Assurance Reinvented AI has turned software testing from a manual checkpoint into an intelligent feedback loop\. Modern tools such as **Testim**, **Mabl**, and **CodeQL** harness machine learning to: - **Generate unit and integration tests** automatically from new commits\. - **Identify fragile areas** of the codebase based on historical bug density\. - **Run predictive regressions**, catching issues before they surface in production\. - **Perform visual and UX testing** by comparing design baselines across environments\. In Web3, AI plays a defensive role too—running predictive audits on smart contracts, modeling attack vectors, and validating code against known vulnerability databases\. Because blockchain contracts are immutable once deployed, this proactive testing is the ultimate safety net\. Beyond unit testing, development teams are now adopting machine learning for testing—systems that learn from past test failures to prioritize the most likely areas of future defects\. AI models continuously analyze lines of code, coverage metrics, and integration history to identify weak points before they reach production\. In complex CI/CD pipelines, AI optimizes test sequencing and resource allocation to ensure faster, more reliable releases\. By learning patterns from previous builds, it can automatically rerun only the affected modules rather than full regression suites, cutting hours off validation cycles\. The outcome is measurable: [automation reduces manual effort](https://www.testrail.com/blog/automated-testing/), improves code quality, and enables testers to focus on exploratory work instead of repetitive verification\. ### 4\. Launching a Project: AI in Deployment, Monitoring, and Maintenance AI continues its work after release, automating and stabilizing production environments\. Generative and predictive models now power CI/CD orchestration, dynamically deciding when and how to ship updates\. They can: - Predict deployment risk by analyzing prior release data - Automate rollback and hotfixes based on anomaly detection - Forecast infrastructure needs before spikes in user traffic - Correlate logs and telemetry across multiple cloud environments At the same time, AI in DevOps is creating what many now call *autonomous release pipelines*\. Intelligent systems handle scheduling, environment provisioning, and rollback decisions with minimal human input\. These AI\-driven DevOps tools analyze telemetry and training data to detect anomalies in deployment patterns and pre\-empt failures before they occur\. In practice, this means CI/CD processes that seamlessly integrate with observability tools, creating a continuous feedback loop where builds self\-evaluate and improve with each iteration\. The result is not just faster delivery, but smarter, self\-healing infrastructure that enhances the overall developer experience\. According to[McKinsey](https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/how-generative-ai-could-accelerate-software-product-time-to-market), AI\-enabled teams have ***“accelerated product time to market by 5%, improved PM productivity by 40%, and even uplifted employee experience by 100%\.”*** This is a testament to how automation compounds across the lifecycle\. AI\-driven observability platforms like [Dynatrace Davis](https://www.dynatrace.com/platform/artificial-intelligence/), [Datadog Watchdog](https://www.datadoghq.com/product/platform/watchdog/), and [Harness](http://harness.io/) now use LLMs to summarize incidents in plain language and recommend fixes in real time\. For Web3 applications, this extends further: AI can monitor validator uptime, detect liquidity risks, and flag cross\-chain bridge anomalies long before they escalate, bringing a new level of predictive resilience to decentralized infrastructure\.  ## AI in Web3 Development: Decentralized, Intelligent Engineering The fusion of **AI and Web3** creates a development environment that is both intelligent and transparent\. AI thrives on pattern recognition; blockchain thrives on verifiable data\. Together, they produce applications capable of reasoning about trust, provenance, and ownership\. Common AI\-driven use cases in Web3 include: - **On\-chain analytics**: Models detect fraudulent wallet activity or wash trading\. - **Gas optimization**: Predicting the cheapest execution path for transactions\. - **Smart contract generation**: AI writing or testing Solidity contracts automatically\. - **DeFi strategy automation**: Machine agents rebalancing liquidity positions or yield farms\. In the context of AI in Web3 development, generative agents are beginning to act as autonomous on\-chain participants—executing smart contracts, verifying transactions, and even coordinating between decentralized applications \(dApps\)\. This combination of AIand blockchain technology reduces human overhead while improving data security and system reliability\. The next frontier will involve AI systems that understand governance logic and can analyze code across decentralized networks to detect anomalies or optimize performance in real time\. This synergy enables decentralized systems to evolve autonomously while staying accountable\. ## The AI Tool Stack for Modern Developers AI has effectively become a new layer of the tech stack\. Today’s high\-performing teams leverage generative AI for developers through tools and platforms that span every stage of the software developer lifecycle : **Ideation & Planning** - Notion AI, ClickUp AI, and Jira Assist for automated backlog creation and sprint forecasting\. - ChatGPT Enterprise or Anthropic Claude for translating business strategy into feature roadmaps\. **Coding & Pair Programming** - GitHub Copilot and Tabnine for real\-time code generation\. - Replit Ghostwriter for cross\-language translation and AI debugging\. **Testing & QA** - Testim and Mabl for auto\-generated regression tests\. - CodeQL and Snyk AI for continuous vulnerability detection\. **Deployment & Monitoring** - Harness, Dynatrace Davis, and Datadog Watchdog for predictive monitoring and AI\-assisted incident triage\. **Documentation & Knowledge Management** - Swimm, Mintlify, and Notion AI Docs for automatically updating technical documentation and API references\. **Web3\-Specific Layers** - SolidityGPT and AuditAI for smart contract validation\. - OneSource APIs for AI\-ready blockchain data integration\. These categories are fluid and most enterprise teams mix open\-source models with proprietary ones to balance flexibility, compliance, and speed\. ## Organizational & Leadership Impact AI adoption redefines more than workflows; it reshapes the engineering culture itself, with [65% of organizations](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai) now using generative AI in at least one business function, up from 33% the year before\. EY reports that [72% of executives](https://www.ey.com/en_gl/newsroom/2025/06/ey-survey-ai-adoption-outpaces-governance-as-risk-awareness-among-the-c-suite-remains-low) have scaled AI across most initiatives\. To succeed, leaders must think beyond adoption and build a new operating rhythm\. That means: - **Governance frameworks** ensure model transparency and prompt data security\. - **Upskilling programs** in prompt design, model tuning, and bias detection\. - **Ethical oversight committees** to evaluate IP, privacy, and fairness concerns\. - **Outcome\-based metrics** focus on speed, resilience, and customer value, not just code volume\. By aligning people, process, and AI capability, organizations can achieve both velocity and integrity in their engineering pipelines\. Ultimately, AI is not just a powerful tool—it’s a cultural shift\. Successful engineering leaders are creating developer environments that encourage experimentation and ethical innovation\. They invest in AI technology literacy programs, integrate responsible\-use policies, and reward teams that continuously learn and adapt\. This fosters resilience in a fast\-evolving ecosystem where both AI and humans co\-create value\. ## Challenges & Ethical Considerations of AI in Software Development AI’s integration into software introduces new accountability questions\. Key challenges include: - **Intellectual property**: Determining ownership of AI\-generated code and content\. - **Bias mitigation**: Ensuring training data doesn’t encode harmful or insecure logic\. - **Explainability**: Making sure model outputs are interpretable and auditable\. - **Security**: Preventing sensitive code or credentials from leaking into AI prompts\. In Web3 contexts, these questions become doubly complex—code and data are public, immutable, and distributed\. Ethical frameworks must therefore evolve to handle decentralized AI decision\-making and transparency at scale\. ## The Future: Developers in an AI\-Augmented World The next generation of engineers will spend less time typing and more time orchestrating intelligent systems\. AI won’t replace developers—but developers who know how to leverage AI will define the future of software\. AI is an assistant, not an authority\. And human review remains crucial for logic, intent, and security, particularly in decentralized finance or governance contracts where a single oversight can trigger serious consequences\. Emerging hybrid roles such as AI integration specialists, prompt engineers, and model curators will sit alongside traditional engineers where teams will design systems that learn continuously, optimizing themselves as they grow\. In the Web3 landscape, AI will eventually act as an on\-chain participant: reading contracts, executing logic, and maintaining digital ecosystems autonomously\. The boundary between creator and code will fade, replaced by human–AI collaboration loops that continually improve the software around them\. ## Conclusion Ultimately, the integration of AI in software development is redefining how products are imagined, built, and maintained\. What was once a linear pipeline is now a living ecosystem of human creativity and machine intelligence—an AI software development lifecycle that continuously learns and improves, from ideation and architecture to testing, deployment, and beyond\. It boosts creativity, improves quality, and enables predictive, self\-healing systems\. For Web3 developers, AI is the missing link that makes decentralized ecosystems smarter and more adaptive\. Together, these technologies are forging a new paradigm of development, one where human creativity meets machine precision\. The future of software isn’t about choosing between human or AI\. It’s about designing systems where both collaborate seamlessly to build, optimize, and evolve the code that powers our digital world\. ## FAQs ### 1\. How is AI used in software development? AI supports every stage of the software lifecycle—from idea generation and coding assistance to testing, deployment, and monitoring—reducing manual work and increasing accuracy\. ### 2\. What are the best AI tools for developers? Popular tools include GitHub Copilot, Tabnine, Replit Ghostwriter, Testim, Mabl, and Harness\. Many teams combine these with documentation and analytics assistants like Mintlify and Datadog\. ### 3\. How does AI improve testing and deployment? AI and machine learning models automatically generate tests, predict bugs, optimize CI/CD pipelines, and detect anomalies, allowing faster and safer releases\. ### 4\. What is AI’s role in Web3 technology? AI enhances blockchain development by analyzing on\-chain data, detecting anomalies, optimizing gas fees, and automating smart contract generation or auditing\. ### 5\. Can AI replace developers? No—AI is an augmentation layer\. Developers who collaborate with AI tools gain major speed and insight advantages, but human oversight remains essential for logic, ethics, and creativity\. ### 6\. What challenges come with AI in coding? The main challenges are IP ownership, model bias, security risks, and over\-reliance on AI suggestions without proper review\. ---------------------------------------------------------------------- title: "Build on Avalanche: Your Next Web3 Project\\!" description: "Discover Avalanche’s speed, subnets & EVM compatibility, plus why developers are building on Avalanche and how OneSource simplifies scaling\\." source: "https://onesource.io/blog/build-on-avalanche-with-onesource" last_updated: 2025-11-21T11:18:47.000Z published: 2025-10-20T13:54:49.000Z author: "Beyond" tags: "Announcement" ---------------------------------------------------------------------- > We’re excited to announce that OneSource will soon support Avalanche — high\-performance Layer\-1 blockchain known for blazing\-fast transactions and near\-instant finality\. ## Introducing Avalanche on OneSource 🚀 From Q4 2025, developers will be able to connect to Avalanche data through OneSource’s high\-performance GraphQL API, making it easier than ever to launch and scale applications on one of the most innovative chains in Web3\. Avalanche has become a favorite among builders for its unique consensus model, speed, and support for custom subnets\. In this article, we’ll explore what makes Avalanche different, why developers are choosing it, and how OneSource simplifies the entire build process\. ## What is Avalanche Blockchain? A Quick Overview Avalanche is a Layer\-1 blockchain platform, launched in 2020 and designed for high throughput and scalability\. Unlike Ethereum, which relies on proof\-of\-work or proof\-of\-stake alone, Avalanche uses its own consensus protocol — Avalanche Consensus — to achieve sub\-second finality and thousands of transactions per second\. Avalanche is also notable for its **multi\-chain architecture**: - **X\-Chain**: For asset creation and transfer\. - **C\-Chain**: An EVM\-compatible chain for smart contracts\. - **P\-Chain**: For managing validators and custom subnets\.  This design allows Avalanche to combine speed, flexibility, and compatibility in ways that many other chains struggle to match\. ## Why Build on Avalanche? Avalanche has positioned itself as a developer\-friendly chain for performance\-sensitive applications\. For developers, building on Avalanche blockchain means access to sub\-second finality and scalable infrastructure\. Some of its most appealing qualities include: - **Speed**: Sub\-second transaction finality\. - **Scalability**: Capable of handling 4,500\+ transactions per second\. - **Flexibility**: Subnets allow developers to launch custom blockchains with tailored rules\. - **EVM Compatibility**: The C\-Chain supports Ethereum tooling out of the box\. - **Low Fees**: Transactions are cost\-effective compared to Ethereum mainnet\. For developers looking to build dApps, games, DeFi protocols, or enterprise\-grade applications, Avalanche provides both the infrastructure and flexibility to deliver\. ## The Technical Edge: Avalanche Consensus [Avalanche Consensus](https://build.avax.network/docs/quick-start/avalanche-consensus) is what sets the chain apart\. Instead of relying on all validators to agree on every transaction, it uses a process of **repeated random sampling**\. Validators randomly poll subsets of other validators until consensus emerges quickly and reliably\. The Avalanche Consensus protocol ensures reliable validation and availability of Avalanche blockchain data, even under high throughput\. The result: - **High throughput** without sacrificing decentralization\. - **Energy efficiency** compared to proof\-of\-work systems\. - **Near\-instant transaction confirmation**, giving users a smoother experience\. This unique consensus model is why Avalanche consistently ranks among the fastest blockchains in production\. ## Key Benefits of Avalanche Blockchain for Developers ### ⚡️Lightning\-Fast Finality One of Avalanche’s biggest selling points is its ability to confirm transactions almost instantly\. Unlike many blockchains where users may have to wait several minutes for final settlement, Avalanche achieves finality in under a second\. This means once a transaction is processed, it cannot be reversed, giving both users and developers confidence in its reliability\. For developers building time\-sensitive applications like trading platforms, gaming environments, or payments systems, this speed is critical\. It not only improves the user experience but also opens the door to new kinds of real\-time Web3 interactions that slower chains simply cannot handle\. ### 🧑‍💻 Custom Subnets Avalanche’s **subnet architecture** is one of its most innovative features\. A subnet is essentially a custom blockchain that exists within the broader Avalanche ecosystem, allowing developers to define their own rules, tokens, and even governance models\. This makes it possible to create application\-specific environments that are optimized for particular use cases — whether that’s a regulated enterprise blockchain, a gaming platform with its own tokenomics, or a DeFi protocol needing unique performance parameters\. While setting up subnets requires careful planning and technical know\-how, they provide unparalleled flexibility compared to other chains\. Developers benefit from Avalanche’s validator set and consensus model while tailoring the subnet to their exact requirements\. ### ✅ EVM Compatibility The Avalanche C\-Chain is fully compatible with the [Ethereum Virtual Machine \(EVM\)](https://ethereum.org/en/developers/docs/evm/)\. For developers, this means using Solidity, Remix, Hardhat, and other familiar Ethereum tools without modification\. Plus, with OneSource’s GraphQL API, querying data becomes simpler than using raw RPC, saving time on parsing responses and handling node quirks\. Smart contracts written for Ethereum can often be deployed on Avalanche with minimal changes, making migration or multi\-chain deployment straightforward\. This compatibility lowers the barrier to entry for Ethereum developers and ensures that projects can tap into Avalanche’s speed and scalability without abandoning the broader Ethereum ecosystem\. In short, if you know how to build on Ethereum, you already know how to build on Avalanche\.  ### 🌏 Low Costs & Eco\-Friendliness Avalanche transactions are not only fast but also inexpensive\. Developers and users benefit from gas fees that are significantly lower than Ethereum mainnet, making it possible to support high\-volume activity without prohibitive costs\. This is particularly valuable for dApps that rely on frequent interactions, high transaction speeds, and digital assets processing, such as games or NFT marketplaces\. In addition, Avalanche has been designed with energy efficiency in mind\. Unlike proof\-of\-work systems that consume large amounts of electricity, Avalanche’s consensus model is lightweight and eco\-friendly\. For enterprises and developers concerned about sustainability, this makes Avalanche an attractive option that aligns with environmental goals while still delivering performance\. ## Challenges & Considerations of Avalanche Chain Avalanche is a powerful blockchain platform, but developers should be aware of a few trade\-offs before committing to it as their primary build environment\. ### 🤔 Complexity of Subnets One of Avalanche’s most innovative features — subnets — can also be one of its biggest hurdles\. Subnets give developers the ability to launch their own customizable blockchains within the Avalanche ecosystem, complete with unique rules and tokens\. However, this flexibility comes at a cost: setting up and maintaining a subnet requires deeper technical knowledge than simply deploying a smart contract on the C\-Chain\. Teams need to consider validator requirements, governance design, and economic incentives, which can be daunting for smaller projects or new developers\. ### 🌱 Growing Competition Avalanche is not alone in the race to provide fast, scalable blockchain infrastructure\. It competes directly with Ethereum Layer\-2 solutions like Optimism, Arbitrum, and Base, as well as other high\-performance Layer\-1s such as Solana and Polygon\. Each of these ecosystems has its own community, developer grants, and technical advantages\. For Avalanche to remain attractive, projects must weigh its unique features — like consensus speed and subnet customization — against the maturity and liquidity available on competing platforms\. ### 🔗 Ecosystem Fragmentation Because subnets allow for highly customized environments, the Avalanche ecosystem can sometimes feel fragmented\. Different subnets may not communicate seamlessly with one another, making it harder for developers to build applications that interact across multiple parts of the Avalanche network\. Fragmentation remains a challenge for teams developing cross\-chain bridges and interoperability solutions who want their apps to integrate widely across the Avalanche ecosystem\. ### ⚖️ Balancing the Trade\-Offs Despite these challenges, Avalanche remains one of the strongest platforms available for developers who value speed, scalability, and flexibility\. Its consensus model is proven, its community is growing, and the subnet architecture offers opportunities that few other blockchains can match\. For projects that need performance and room to innovate, Avalanche continues to stand out as a top\-tier choice\. ## Real\-World Avalanche Use Cases Avalanche has one of the most diverse Web3 ecosystems on the market: - **DeFi**: Protocols like [Aave](https://www.aave.org/case-studies/avalanche) and Trader Joe are live on Avalanche, benefiting from low fees and high throughput\. - **NFTs**: NFT marketplaces use Avalanche to mint and trade NFTs at scale — and with OneSource, those projects can query balances, ownership data, and contract activity in structured GraphQL calls instead of managing low\-level RPC queries\. - **Gaming**: Avalanche has become a hub for blockchain games requiring fast, low\-cost transactions\. - **Enterprise applications**: Subnets make Avalanche attractive for enterprises that need private or regulated blockchain environments\. - **Supply Chains**: Avalanche’s speed, scalability, and energy efficiency make it a strong fit for supply chain development\. Whether it’s DeFi, gaming, or NFTs, building a Web3 platform using Avalanche subnets supports highly specialized ecosystems\. ### OneSource & Blockticity Build on Avalanche to Combat Counterfeit Goods [Blockticity helps combat counterfeit goods and fraudulent documentatio](https://onesource.io/blog/powering-trust-at-scale-how-blockticity-uses-onesource-to-bring-ai-ready-authenticity-to-global-trade)n by issuing authenticated certificates of authenticity \(COAs\) as ERC\-721 tokens on Avalanche C\-Chain\. These immutable records can include rich metadata—such as lab results, ESG indicators, and geolocation—that are fully indexed and instantly searchable\. Avalanche’s ultra\-fast, low\-latency design makes it an ideal choice for builders like [Blockticity](https://blockticity.io/) who need performance at scale\. In addition, because Avalanche is also more energy efficient, this makes it a more sustainable platform for supply chain verification\. This efficiency enables Blockticity to mint COAs at scale while keeping the carbon footprint of its authenticity solutions low\. ## Avalanche vs\. Other Blockchains Avalanche often gets compared to both Layer\-1s and Layer\-2s\. Here’s how it stacks up: - **Avalanche vs\. Ethereum**: [Ethereum](https://bpcontent.looksee.xyz/one-source-page/chains/ethereum/) remains the most secure and decentralized, but Avalanche offers higher throughput and lower fees\. With the C\-Chain, developers don’t have to choose — they can deploy Ethereum\-compatible apps on Avalanche\. - **Avalanche vs\. Base/Optimism/Arbitrum**: These Layer\-2s scale Ethereum through rollups, while Avalanche provides an independent Layer\-1 solution with subnets\. - **Avalanche vs\. Polygon**: Polygon’s sidechains and ZK solutions compete on scalability, but Avalanche’s subnets offer a higher degree of customization for developers\. - **Avalanche vs\. Shape**: Both focus on modularity, but Avalanche’s consensus and proven ecosystem give it a maturity advantage\. For multi\-chain strategies, Avalanche complements Ethereum and rollup\-based chains by offering unique flexibility and speed\. ## How OneSource Supercharges Building on Avalanche While many providers give developers direct access to raw RPC methods, OneSource takes a different approach\. Our infrastructure uses Avalanche RPC under the hood, but instead of exposing low\-level methods, we surface blockchain data through a **GraphQL API**\. This means you can query exactly the data you need — whether it’s token balances, transactions, or contract interactions — without parsing raw responses\. Not only this, but OneSource indexes and surfaces off\-chain data that’s not available with standard RPCs\. The result with us is faster integrations, more efficient queries, and a developer experience that’s far easier to work with\. Here’s what we bring to Avalanche: - **GraphQL\-powered API access** — built on Avalanche RPC under the hood, but exposed through structured queries for cleaner, application\-ready data\. - **Elastic scaling** that automatically handles traffic spikes, so your dApp keeps running smoothly even under heavy load\. - **Built\-in monitoring and analytics** to give you real\-time visibility into query performance, contract interactions, and cross\-chain activity\. - **Seamless multi\-chain development** — expand from Avalanche to Ethereum, Base, Optimism, Arbitrum, or Shape without switching providers or rewriting integrations\. - **Off\-chain data sourcing** — OneSource indexes and surfaces data across touch points like media files and metadata, in addition to standard on\-chain queries, going deeper than standard, mode\-level RPCs\. ## Getting Started with Avalanche on OneSource It takes just a few steps to start building: 1. **Sign up free**: [Create your OneSource account](https://onesource.io/get-started) without a credit card\. 2. **Connect**: Query Avalanche data instantly through a unified GraphQL endpoint 3. **Deploy**: Use Solidity and Ethereum\-compatible tools to launch on the C\-Chain\. 4. **Scale**: Monitor, analyze, and optimize your dApp with OneSource’s developer tools\. From idea to launch, OneSource makes Avalanche development simple\. ## The Future of Avalanche: Subnets & Beyond Avalanche’s roadmap emphasizes scaling through subnets, enterprise adoption, and bridging to other ecosystems\. As more projects embrace subnet architecture, we’re likely to see highly specialized ecosystems for DeFi, gaming, and institutional use cases\. By supporting Avalanche from day one, OneSource is giving developers the tools to be part of this future without worrying about infrastructure\. ## Ready to Build on Avalanche? Avalanche is one of the most exciting chains in Web3: fast, flexible, EVM\-compatible, and built for innovation\. From DeFi to NFTs to custom subnets, it provides the infrastructure for builders who need performance and adaptability\. With OneSource, you can access Avalanche’s full potential through a single, unified GraphQL endpoint\. Simplify data queries, streamline cross\-chain development, and gain real\-time insights—all with reliable infrastructure built to help you build, launch, and scale faster\. ## FAQs ### 1\. What is Avalanche blockchain? Avalanche is a high\-performance Layer\-1 blockchain with sub\-second finality and support for custom subnets, making it ideal for scalable applications\. ### 2\. Why should developers build on Avalanche? Avalanche offers low fees, lightning\-fast finality, EVM compatibility, and the ability to launch custom subnets for tailored applications\. ### 3\. How does Avalanche compare to Ethereum? Ethereum provides the most secure settlement layer, but Avalanche offers faster transactions and lower costs, with the C\-Chain ensuring Ethereum compatibility\. ### 4\. What are Avalanche subnets? Subnets are customizable blockchains within Avalanche, allowing developers to define their own rules, tokens, and governance while benefiting from Avalanche’s validators\. ### 5\. Is Avalanche EVM\-compatible? Yes\. Avalanche’s C\-Chain runs the Ethereum Virtual Machine, meaning smart contracts and developer tools from Ethereum work seamlessly\. ### 6\. What use cases are thriving on Avalanche? DeFi protocols like Aave, NFT marketplaces, gaming projects, and enterprise applications are actively building on Avalanche\. ### 7\. How can I build on Avalanche with OneSource? You can sign up for a free OneSource account, connect to the Avalanche API endpoint, and deploy Ethereum\-compatible apps instantly\. ---------------------------------------------------------------------- title: "Q3 Recap and What’s Next for OneSource" description: "Discover the latest updates from the OneSource team and what’s on the horizon with our biggest release yet\\." source: "https://onesource.io/blog/q3-recap-and-whats-next-for-onesource" last_updated: 2025-10-15T12:58:30.000Z published: 2025-10-14T12:16:00.000Z author: "Elly Walkden" tags: "Announcement" ---------------------------------------------------------------------- OneSource makes retrieving on\-chain data fast, reliable, and effortless, so you can focus on building, not juggling infrastructure\. Over the past few months, we’ve been focused on making the OneSource API faster, simpler, and more performant than ever, enabling you to quickly and easily query on\-chain data through a single, powerful GraphQL endpoint\. As we gear up for our next major release, we’re building on this foundation to make the platform even broader, smarter, and more accessible\. From expanded chain support and a new Transactions Data Service to streamlined onboarding, every update is designed to remove friction, boost performance, and give developers one clear path to building at scale\. Discover how far we’ve come and what’s coming next\. ## Endless Data\. One Single Endpoint #### Q3 Milestone: GraphQL Federation In Q3, we reached a major architectural milestone with the implementation of GraphQL Federation, a core step toward realizing our vision of a truly unified Web3 API\. Federation allows multiple independent services to operate seamlessly behind the scenes while presenting developers with a single, cohesive API experience\. Each specialized service \(whether it handles assets, balances, metadata, or transactions\) contributes to a unified response that’s consistent, enriched, and complete\. This is the foundation of our “one endpoint” philosophy\. With Federation, the OneSource API brings all on\-chain data together under a single GraphQL interface\. No more juggling multiple sources, reconciling inconsistent schemas, or writing extra logic to stitch data together\. Just one query, one response, and everything you need\. #### Why This Matters Think of it like walking into a vast library\. With a traditional API, you’d have to hunt down each book separately — metadata in one aisle, balances in another, transaction history somewhere else\. With OneSource, you simply hand the librarian your list – specific chapters, key pages, and summaries – and they return exactly what you need in one trip\. That’s the power of a unified API\. This unified approach improves both simplicity and speed\. When applications rely on multiple endpoints, they often make requests sequentially, waiting for each response before moving to the next\. Every extra call adds latency, which compounds quickly in production\. For apps that depend on real\-time data or experiences where milliseconds matter, that’s a deal\-breaker\. ​​GraphQL Federation builds on our earlier Q2 upgrade of database sharding, a foundational step toward delivering sub\-second response times and massive scalability across the OneSource API\. By intelligently partitioning large datasets across distributed shards, we can process and serve millions of blockchain records with consistently fast query speeds, even under heavy load\. Together, Federation and Sharding represent important steps toward our ambition to deliver a performance\-first architecture that prioritizes speed, simplicity, and reliability above all\. ## What's Next for OneSource We’re making it easier than ever to start building with OneSource with our biggest release yet\. Starting November 5th, developers will be able to sign up, generate API keys, and start integrating blockchain data into their applications directly from the OneSource website, all in one streamlined experience\. Getting started is simple: create a free account, access your API key in minutes, and manage your project from a unified dashboard that handles API keys, usage monitoring, and subscription preferences in one place\. Before launch, we’re running extensive testing to ensure the platform delivers the speed, reliability, and performance developers expect\. Our goal is a smooth, seamless experience from day one, giving you a fully functional, high\-performance Web3 API that’s ready to integrate and scale with your applications\. #### 4 New Chains Incoming… Years of investment in Web3 infrastructure have allowed us to design a platform that’s both powerful and extensible\. Behind the scenes, our team has been focused on making OneSource agile, able to integrate new chains quickly without sacrificing performance\. On the backend, we have expanded chain support to include Avalanche, Base, Shape, and Arbitrum\. This update will roll out as part of our next major release on November 5th, 2025, and will bring first\-class support for each new chain through the OneSource API, enabling developers to query assets, balances, metadata, and token media just as they do today on Ethereum and Optimism\. #### Transactions, Delivered Starting November 5th, the OneSource API will let you query transactions directly\. This enhancement is designed to meet the needs of developers, giving them access to detailed, comprehensive transaction logs for specific blockchain activity\. It’s a fast, user\-friendly, and fully automated way to retrieve transaction data, providing an essential foundation for analytics, reporting, and complex application logic\. Key features include: - **Comprehensive Transaction Indexing: **Track every on\-chain transaction with full fidelity—call data, gas usage, digital signatures \(V, R, S\), and more\. - **Instant Search & Filter: **Query by transaction hash, address, block, sender, gas parameters, nonce, and beyond\. Precise and fast\. - **Token & Balance Tracing: **Understand how transactions impact balances across ERC20, ERC721, and ERC1155 tokens\. - **Metadata\-Aware Insights: **Identify transactions that triggered real\-time changes to enriched token metadata\. - **Multi\-Chain Support: **Interact with transactions across multiple chains through a single, consistent interface\. ## Wrapping Up At OneSource, our focus remains clear: to provide a high\-performance, unified Web3 API that removes friction, accelerates development, and empowers you to build at scale\. Whether you’re integrating assets, tracking balances, or analyzing transactions, our goal is to make accessing on\-chain data fast, easy, and seamless, so you can focus on building the future of Web3\. ---------------------------------------------------------------------- title: "Liberty as Leadership: How Autonomy and Choice Empower Web3 Teams" description: "Discover why trust and clarity—not control—are the true levers of performance, and how autonomy fuels Web3 organizations\\." source: "https://onesource.io/blog/liberty-as-leadership-how-autonomy-and-choice-empower-web3-teams" last_updated: 2025-11-18T07:14:08.000Z published: 2025-10-14T07:00:14.000Z author: "Elly Walkden" tags: "Learn" ---------------------------------------------------------------------- > In the latest instalment of the CULTURE³ series, LJ Malberg, PCC, VP of People & Culture at Blockparty, explores how liberty becomes leadership in decentralized teams\. She reveals why trust and clarity, not control, are the true levers of performance, and how autonomy fuels engagement, innovation, and resilience across Web3 organizations\. Let’s start with the basics\. Autonomy doesn’t mean chaos\. And liberty doesn’t mean working without boundaries\. In fact, the most effective teams I’ve seen have the most clarity about where freedom lives and where alignment is non\-negotiable\. In traditional companies, freedom is often earned: after a certain title, a set number of years and tenure, or the “right” kind of track record\. But in Web3, where teams are decentralized by design, autonomy is a requirement\. You simply can’t run a company that moves fast, spans time zones, and operates without a ton of hierarchy, unless people are trusted to lead themselves\. That trust is liberty\. And liberty is a form of leadership\. There’s simply no time to micromanage if you want to see real progress\. You do however need to understand three things: 1\. what they’re responsible for \(read: role and responsibilities\), 2\. how their work connects to something bigger \(read: vision, mission, values and cross\-functional contributions\), and 3\. when to ask for help \(read: accessible, safe and values\-based leadership and peer support\)\. According to[Gallup’s 2025 research on remote work](https://www.gallup.com/workplace/660236/remote-work-paradox-engaged-distressed.aspx?utm_source=chatgpt.com), fully remote workers report the highest engagement rate at **31%**, compared to only 23% for hybrid workers and 19% for on\-site employees\. This underscores how autonomy in where and how we work deeply influences engagement—a key currency in building resilient and committed Web3 teams\. The cost of not trusting people is high\. The cost of over\-controlling them? Even higher\.  Liberty doesn’t mean everyone works in isolation\. In fact, it works much better when anchored in something bigger \(like values, vision, mission and company goals\) than individual preferences\. That something is culture\. I find culture to be the shared agreement about what matters here\. That’s why liberty needs a container\. Not a cage\. A container\. A structure that lets people move freely, take risks, make calls, AND still knows where the edges are\. In *Scaling People*, Claire Hughes Johnson says great leadership isn’t about solving every problem\. It’s about setting up systems that allow others to solve problems\. Liberty is that system\. And it only works if leaders let go of control without letting go of clarity\. I love this\! The best leaders I know don’t hover\. They set context\. They define outcomes\. And then they step back\. They trust their team to figure out the "how\." This shift from controlling tasks to enabling judgment, is what makes decentralized work actually *work*\. It’s also what prevents burnout and creates real engagement\. Deloitte’s [2025 Human Capital Trends report](https://www.deloitte.com/us/en/insights/topics/talent/human-capital-trends.html) showed that organizations that prioritize flexibility and choice see higher engagement and better innovation\. That’s not surprising\. People do better when they feel like they have a say in how they work\. Here are a few questions I ask when working with my teams: - Where are we unintentionally limiting choice? - Are our systems built for trust or for control? - Do we give people enough clarity before we ask for accountability? These questions help reveal invisible patterns and places where we might be over\-directing, under\-trusting, or making it harder than it needs to be\. Real \(and thriving\) culture means confidence\. It means you’ve built something sturdy enough to hold choice, autonomy, and differences without collapsing under the weight of ambiguity\. When people have the freedom to do their best work, they usually do\. ---------------------------------------------------------------------- title: "Web3 API vs RPC: Making Sense of Blockchain Data Access" description: "Web3 API vs RPC node \\- what's the difference? How to choose between RPC providers & Blockchain Data Service Providers for your web3 project\\." source: "https://onesource.io/blog/web3-api-vs-rpc-node" last_updated: 2025-09-26T11:02:00.000Z published: 2025-09-25T13:50:34.000Z author: "Beyond" tags: "Learn" ---------------------------------------------------------------------- Every Web3 developer eventually faces the same question: should you connect directly to a blockchain using an RPC node, or should you use a higher\-level Blockchain Data API? On paper, both approaches give you blockchain access\. In reality, they serve very different needs\. RPC \(Remote Procedure Call\) is the original interface for blockchains like Ethereum\. It’s powerful but low\-level: you can read and write to the chain, but what you get back is raw, unstructured data\. [A Blockchain Data API](https://bpcontent.looksee.xyz/one-source-page/solutions/flex-api/), by contrast, abstracts away much of that complexity, delivering structured and enriched data that’s ready to use in your application\. This distinction matters more in 2025 than ever\. As dApps evolve into complex products — spanning DeFi, NFTs, gaming, compliance, and beyond — developers need faster, cleaner access to data\. The trade\-off between raw data RPC and a developer\-focused Web3 API is no longer academic; it determines whether teams spend their time building features or wrangling infrastructure\. In this article we'll explore Web3 APIs vs RPC nodes and how to decide what's right for your project\. ## What Is an API? Before diving into Web3, it’s worth revisiting the basics: what is an API? An API, or Application Programming Interface, is a structured way for software systems to talk to each other\. Instead of forcing developers to fetch raw data directly, an API defines clear endpoints and returns responses in formats that are easy to use\. In traditional software, APIs power everything from weather apps to payment platforms\. In Web3, APIs serve the same purpose\. They give developers a reliable way to query blockchain data without manually decoding logs, tracing transactions, or running heavy infrastructure\. A Web3 API can answer complex questions — like “which NFTs does this wallet own?” — in a single request, whereas doing the same through raw RPC might require multiple calls, indexing, and custom decoding logic\. ## What Is an RPC Provider? Remote Procedure Call \(RPC\) is the backbone of blockchain access and is the mechanism by which dApps communicate directly with a blockchain\. When a wallet checks a user’s ETH balance, it makes an RPC call to a node using `eth\_getBalance`\. When a user swaps tokens, the dApp broadcasts a transaction via `eth\_sendTransaction`\. An RPC endpoint is essentially the access point to that node, and every interaction with the blockchain begins by sending a request through this communication protocol\. Different RPC methods — such as checking balances, fetching logs, or broadcasting a transaction — are exposed through these endpoints\. RPC endpoints are powerful, but they often come with limitations such as rate limits and inconsistent response times, which can affect the reliability of user experiences in Web3 applications\. Although rate limits are a factor to consider with API services, they are less restrictive than those associated with RPC node services\. This is because retrieving certain datasets from an RPC node typically requires more individual requests compared to fetching structured data from an API\. As a result, rate limits are more likely to become a significant obstacle when using an RPC node service than when using an API service like OneSource to obtain the same dataset\. ## What does an RPC provider do? Instead of every project running its own node — a costly, resource\-heavy undertaking — RPC providers maintain nodes and expose their RPC methods to developers\. They make it possible for applications to read blockchain state and submit transactions without managing infrastructure themselves\. This is powerful, but it comes with trade\-offs\. RPC nodes return responses in raw hexadecimal strings or low\-level logs\. For example, fetching an ERC\-20 balance might involve multiple calls and decoding the contract’s storage slot\. Fetching all transactions for a wallet can mean replaying logs block by block\. RPC provides **raw access**, but it leaves the burden of indexing, decoding, and making sense of blockchain data entirely on the developer\. ## What Is a Blockchain Data API Provider? A Blockchain Data API Provider takes a different approach\. Instead of exposing raw RPC calls, it delivers enriched, structured blockchain data that is ready to plug into your application\. Think of it like the difference between ordering raw ingredients and getting a prepared meal\. RPC gives you the ingredients — powerful, flexible, but unprocessed\. A Web3 API gives you the meal — clean, organized data you can use immediately\. **For example:** - An RPC call might return a wallet’s balance in raw hexadecimal\. A Blockchain Data API returns the balance in human\-readable form, along with token symbol and decimals\. - To get all NFTs owned by a wallet with RPC, you’d need to scan contract logs across blocks\. A Blockchain Data API can return them in a single query, complete with metadata and images\. OneSource falls into this category\. We use RPC nodes under the hood to talk to the blockchain, but layer on indexing, enrichment, and GraphQL APIs so developers get the data they need without boilerplate parsing\. Unlike running a full node or maintaining archive nodes, which can be resource\-intensive and difficult to scale, OneSource handles this infrastructure behind the scenes\. By exposing a high\-level Web3 API, OneSource allows developers to focus on building decentralized applications \(dApps\) without worrying about communication protocols or node maintenance\. ## RPC Node vs Data API: Key Differences in Web3 On the surface, both RPC and APIs provide access to blockchain networks\. But the developer experience is where the differences become clear\. - **Level of abstraction**: RPC nodes operate at the lowest level of the blockchain, exposing raw methods that developers must call directly\. This means you’re often dealing with unformatted responses, hex strings, and logs that require manual decoding\. APIs raise the level of abstraction by presenting blockchain data in structured formats, reducing the time it takes to go from request to usable insight\. - **Data enrichment**: When working with RPC, the data you receive is unprocessed — balances may come back in Wei rather than ETH, logs lack context, and NFTs require separate lookups for metadata\. APIs enrich this data automatically, attaching human\-readable context such as token symbols, decimals, metadata, and even historical trends\. This saves developers from writing custom scripts or running their own indexers\. - **Query power**: RPC calls are inherently limited: each method returns a single piece of information, forcing developers to stitch together multiple requests to answer even simple questions\. APIs, by contrast, are indexed and queryable\. Developers can filter, sort, and combine results in one API request — for example, fetching all NFTs owned by a wallet along with their metadata in a single query, rather than scanning logs block by block\. - **Developer workflows**: With RPC, developers must often design additional indexing services to handle large volumes of raw data\. They also need to implement load balancing to manage traffic spikes and work around rate limits, which can slow down development\. APIs solve these problems by abstracting away these infrastructure headaches\. Instead of juggling multiple RPC endpoints, developers can make high\-level API requests to standardized API endpoints, significantly improving response times and overall user experiences\. In practice, this means RPC is best when you need raw, real\-time interaction with the blockchain, while APIs are best when you need complex data queries delivered in clean, usable formats\. ## When to Use RPC vs API Both approaches have their place\. | **When to Use RPC** | **When to Use a Blockchain Data API** | | --- | --- | | Wallets submitting transactions in real time | NFT galleries and marketplaces | | DeFi protocols needing direct contract state | Portfolio trackers and tax reporting tools | | Debugging or low\-level infrastructure work | Compliance dashboards monitoring suspicious activity | | Running custom infrastructure or validators | Analytics platforms querying historical or aggregated blockchain data | ### RPC is best suited for: - **Wallets submitting transactions in real time** – wallets need direct access to broadcast user transactions instantly, something only RPC nodes can provide\. - **DeFi protocols needing direct contract state** – protocols that depend on up\-to\-the\-second contract data \(like lending pools or automated market makers\) rely on raw RPC calls for accuracy\. - **Debugging or low\-level infrastructure work** – developers troubleshooting contracts, tracing logs, or testing new deployments often require raw RPC responses for complete visibility\. - **Running custom infrastructure or validators** – situations where [developers need full control](https://bpcontent.looksee.xyz/one-source-post/powering-trust-at-scale-how-blockticity-uses-onesource-to-bring-ai-ready-authenticity-to-global-trade/) over node operations, participate in consensus, or tap specialized data feeds that APIs don’t yet expose\. ### APIs are best suited for: - **NFT galleries and marketplaces** – APIs simplify ownership and metadata queries into a single call, instead of multiple RPC scans across contracts and logs\. - **Portfolio trackers and tax reporting tools** – APIs provide normalized balances and historical transaction data across chains, removing the need to query each RPC node individually\. - **Compliance dashboards monitoring suspicious activity** – APIs deliver decoded and enriched transaction data, making it easier to flag risky behavior without running a custom indexer\. - **Analytics platforms querying historical or aggregated blockchain data** – APIs provide indexed data for trends and insights, something raw RPC cannot efficiently support without heavy infrastructure\. It’s not necessarily web3 RPC vs web3 API, but web3 RPC *and* web3 API\. RPC provides the foundation, while APIs make blockchain data accessible to a wider range of developers and use cases\. ## OneSource’s Approach as a Blockchain Data Service Provider OneSource is not an RPC provider in the traditional sense\. We’re a Blockchain Data Service Provider\. That means we use RPC under the hood — it’s how we talk to chains like Ethereum, Avalanche, Arbitrum, and Base\. But instead of exposing raw data RPC responses, we give developers a GraphQL API that returns structured, application\-ready blockchain data\. While OneSource is built around GraphQL for maximum flexibility, many Blockchain Data Service Providers also offer RESTful APIs\. Both approaches serve the same purpose — abstracting away raw RPC — but GraphQL allows for more precise queries and reduces over\-fetching of data\. For developers, that means no more decoding hex strings or running your own indexing service\. Instead, you can query token balances, transaction histories, or NFT metadata in a single request\. ### What OneSource delivers today \(Q4 2025\): - Token balances beyond native ETH\. - Transaction history and correlations\. - NFT metadata and media\. ### What’s coming soon \(Q1 2026 and beyond\): - ETH balances as a core feature\. - Expanded contract state queries\. - Potential write functions layered onto our API\. These future capabilities evolve alongside developer needs, ensuring you always have access to the data that matters most\. ## Practical Web3 API Use Cases with OneSource The power of a Web3 API becomes clear when you look at how it changes the developer experience in real\-world applications\. ### 🎨 NFT Platforms NFT marketplaces and galleries are some of the most data\-intensive dApps in Web3\. To display a user’s NFT collection using raw RPC, developers would need to scan through smart contract logs, piece together ownership transfers, and then fetch metadata from IPFS or third\-party servers\. This is both slow and resource\-heavy\. With OneSource, all that complexity is abstracted into a single GraphQL query\. A developer can request “all NFTs owned by this wallet” and instantly receive structured results that include contract addresses, token IDs, images, and metadata\. This eliminates days of indexing work and allows teams to focus on building engaging user interfaces instead of maintaining backend pipelines\. ### 🕵️ Compliance & Monitoring Tools Compliance platforms face a unique challenge: they don’t just need raw data, they need **patterns**\. Detecting suspicious flows of funds across the Arbitrum network or monitoring wallets for regulatory reporting requires cross\-referencing thousands of transactions\. Doing this via RPC would mean scanning every transaction log, decoding it, and building an internal indexing layer just to recognize behavior\. OneSource’s APIs streamline the process by exposing transaction data that’s already decoded and correlated\. Instead of starting with hex strings, compliance engineers start with actionable insights, reducing the time from query to reporting\. ### 📊 Portfolio Trackers & Tax Tools Portfolio apps and tax reporting software need a holistic view of a user’s holdings\. Relying on RPC nodes means hitting multiple endpoints for each chain, fetching balances one by one, and then interpreting raw responses to normalize them across tokens and networks\. With OneSource, developers can aggregate token balances across multiple blockchains with a single request\. The API handles the heavy lifting of indexing and normalization, so portfolio apps can display real\-time balances, transaction histories, and valuations without a maze of backend infrastructure\. This not only improves developer efficiency but also ensures end\-users see accurate, up\-to\-date financial information across chains\. ### 🎮 Gaming Applications Web3 gaming requires fast, reliable, and low\-cost access to blockchain data\. In many cases, in\-game assets are NFTs or ERC\-20 tokens that need to be tracked in real time as players earn, trade, or upgrade them\. Trying to do this with RPC alone would mean replaying thousands of events from game\-related contracts every time the state needs to be refreshed\. That’s inefficient and can create noticeable lag in gameplay\. OneSource’s enriched APIs provide game developers with ready\-to\-use asset ownership and metadata queries, enabling smooth player experiences\. By eliminating backend overhead, studios can scale games to thousands of players without bottlenecks in data access\. ## APIs Are the Future of Blockchain Data RPC nodes are indispensable\. They are how blockchains operate, and they’ll always be the foundation for real\-time interaction with networks\. But they were never designed for developer convenience\. As Web3 matures, developers need more than raw access\. They need structured, enriched, queryable data that lets them build quickly and scale with confidence\. That’s why Blockchain Data APIs are the future — and why OneSource is leading the way as a Blockchain Data Service Provider\. 👉 Ready to explore? [Start building with OneSource today](https://bpcontent.looksee.xyz/one-source-page/get-started/)\. ## FAQs ### What is an API? An API, or Application Programming Interface, is a structured way for software systems to communicate\. In Web3, APIs make blockchain data easier to query by returning structured, application\-ready results\. ### What is an RPC? RPC stands for Remote Procedure Call\. In blockchain, it’s the method nodes use to expose functions like reading wallet balances, fetching logs, or sending transactions\. ### What does an RPC provider do? An RPC provider runs and maintains RPC nodes so developers don’t have to\. They give applications raw access to blockchain data without the burden of running infrastructure\. ### What is a Web3 API? A Web3 API is a higher\-level service that abstracts away RPC and delivers structured blockchain data through GraphQL or REST endpoints\. ### What is the difference between RPC vs API? RPC returns raw data that developers must decode and manage\. APIs provide enriched, indexed, and ready\-to\-use blockchain data, saving time and effort\. ### What are Blockchain Data Service Providers? Blockchain Data Service Providers, like OneSource, use RPC under the hood but expose structured data via APIs, making blockchain development faster and more efficient\. ### When should I use RPC vs a Web3 API? Use RPC when you need raw access, such as submitting transactions or querying real\-time contract state\. Use a Web3 API when you need enriched queries, historical data, or simplified developer workflows\. ---------------------------------------------------------------------- title: "Beyond Buy\\-In: How Employee\\-based Agency Fuels Community\\-Led Culture in Web3" description: "LJ Malberg explores how clarity, contribution, and shared responsibility turn workplace culture into true community\\-led ownership in Web3 teams\\." source: "https://onesource.io/blog/auto-draft-2" last_updated: 2025-10-14T11:39:31.000Z published: 2025-08-22T10:28:20.000Z author: "Elly Walkden" tags: "Learn" ---------------------------------------------------------------------- > LJ Malberg, Chief People Officer at Blockparty, explores how real ownership can transform company culture from the inside out\. In this second instalment of the CULTURE³ series, she unpacks why employee agency is the cornerstone of authentic engagement, and how shared responsibility, clarity, and contribution fuel community\-led culture in Web3 teams\. In Web3, ownership is often framed around tokens or governance shares\. But if you look deeper, it’s really about something more human: belonging\. It's about inviting people to co\-create—not just the product or protocol, but the way we work together\. It's about contribution, not just control\. Culture isn’t something we build *for* our people\. It’s something we build *with* them\. Internally, this shift starts with clarity\. Leaders define expectations—then step back\. The goal isn't consensus for its own sake\. It's intentional **invitation**: to shape values, rituals, and systems\. Because when someone has real **agency**, they care more\. In traditional structures, leaders often aim for compliance disguised as engagement\. That’s not leadership\. That’s control\. When people are truly invited into ownership, something deeper emerges: they take responsibility\. They show up with ideas, with questions, with initiative\. They start treating the company like it’s theirs\. Because in a way, it is\. ## Culture as a Motivator, Not a Mandate According to[SHRM’s 2024 Global Culture Report](https://www.shrm.org/executive-network/insights/shrm-report-workplace-culture-fosters-employee-retention?utm_source=chatgpt.com), 83 percent of employees in strong workplace cultures report high motivation\. Compare that to just 45 percent in poor cultures\. That’s not just a stat, it’s a signal that people want to feel part of something that matters\. And when they do, they’ll go further for it\. User\-ownership in practice might look like co\-defining values\. It might look like open channels where people can raise problems before they become breakdowns\. It includes recognizing invisible work, which is the emotional labor—the care, the conflict resolution, the culture\-building—a lot of which often goes unnoticed\. It’s also a shared responsibility\. It’s everyone being invested in where the company is going\. This goes beyond anonymous surveys or check\-the\-box listening\. People know when you’re just asking for feedback versus when you actually want to change something\. It’s the difference between token engagement and real agency\. [Gallup’s 2024 Global Workplace Report](https://www.gallup.com/workplace/349484/state-of-the-global-workplace.aspx?utm_source=chatgpt.com) found that only 21% of employees worldwide feel engaged at work\. That disengagement cost the global economy $438 billion\. More than financial loss, it signals a cultural crisis\. Disconnection erodes the system from within\. As Claire Hughes Johnson writes in *Scaling People*: > “A mission explains why your company exists\. Long\-term goals define what you’re trying to achieve\. But your values? They create the culture that makes that progress possible\. Without them, you’re just managing tasks\. With them, you’re building a team that can think, adapt, and lead\.” ## Agency ≠ Chaos Now, let’s be clear: agency doesn’t mean anything goes\. You still need structure\. That’s why clarity always comes first\. When people understand the playing field, which decisions are theirs, what the goals are, how we measure progress, then they can actually act with freedom\. Without that, you’re just handing people a blank page and hoping they draw a masterpiece\. According to[Press Ganey’s 2024 report](https://info.pressganey.com/press-ganey-blog-healthcare-experience-insights/employee-engagement-in-2024-trends?utm_source=chatgpt.com), companies that shared employee survey results and *acted on them* saw a 23% boost in engagement\. But the catch is you’ve got to follow through\. If people know you’re going to do something with their input, they give more\. And better\. User\-ownership is a system of respect\. I can appreciate how much work it takes to stay engaged at this level, but it’s how you signal to people that their perspective matters and it shapes what the company becomes\. Questions for any team: - Are we building a culture people actually want to be part of? How might you best measure this inside your organization? - Are we inviting people to shape it, or just asking them to buy into what’s already been decided? If the latter, what areas of opportunity can you identify for contribution instead of buy\-in? - Do our systems make it easy for people to speak up and be heard? If not, how might you increase the opportunity within your existing systems? For many of us at Blockparty, the line between internal culture and external Web3 community is thin\. What you practice on the inside becomes your signal to the world\. The operational word here being practice\. Ownership is created when people feel their presence makes a difference\. When they feel that, they take care of what they’ve helped build and then the external world takes notice\. Next up: Liberty as Leadership—how autonomy and choice empower Web3 teams\. ---------------------------------------------------------------------- title: "OneSource Playground: Explore and Optimize Your Data Queries in Real Time" description: "The OneSource Playground is built to supercharge your development workflow—making it easier to explore, test, and fine\\-tune Web3 data queries\\." source: "https://onesource.io/blog/onesource-playground-explore-and-optimize-your-data-queries-in-real-time" last_updated: 2025-11-18T07:26:04.000Z published: 2025-07-08T10:23:11.000Z author: "Elly Walkden" tags: "Learn" ---------------------------------------------------------------------- > The OneSource Playground is built to supercharge your development workflow—making it easier to explore, test, and fine\-tune your Web3 data queries\. With real\-time feedback and intuitive tools, it helps you ship with confidence\. If you’ve been following our journey, you already know that the OneSource Web3 API is [built on top of GraphQL](https://www.onesource.io/blog/solving-the-data-challenge-in-web3-apps-with-graphql), giving app developers the ability to request only the data they need, nothing more\. A strongly typed GraphQL schema powers this precision, acting as a contract between your Web3 app and the API\. It validates every request against the schema, helping you build predictable, bug\-resistant integrations—something every Web3 developer can appreciate\. ### Tool for Faster, Smarter Data Queries GraphQL playgrounds are interactive interfaces where developers can experiment with data queries, explore the schema, and debug responses, all in one place\. Think of it as your command center for building, testing, and fine\-tuning how your app talks to the OneSource API, making your integration faster and smoother\. ### Meet the OneSource Playground [The OneSource Playground](https://docs.onesource.io/getting-started/playgrounds/onesource) is your all\-in\-one interface for working with our Web3 data API in real time\. Whether you're exploring available tokens, tracking ownership balances, or building custom queries for on\-chain assets, the playground provides an intuitive space to test and iterate before you ship code\. #### Everything You Need to Explore, Test, and Optimize Here’s what makes the OneSource Playground a core part of your Web3 dev stack: - **Real\-Time Testing**: Run your queries directly in the playground and see results instantly\. - **Schema Exploration**: Navigate the entire API schema, including available queries, arguments and types\. - **Autocomplete & Validation**: Get smart suggestions and inline error messages as you type, helping you write valid, optimized queries\. - **Environment Configuration**: Set headers and variables for testing different environments or user scenarios\. - **Query Templates**: The playground is preloaded with a selection of query templates to get you started right away\. - **History and Tabs**: Experiment with multiple queries simultaneously with tabs and refer to previously executed queries with session history\. ### Start with Preloaded Queries, Customize to Fit Accessing the [OneSource Playground](https://docs.onesource.io/getting-started/playgrounds/onesource) is simple—just log in to your OneSource account, copy your API key, head to [playground\.onesource\.io](https://playground.onesource.io/), paste your API key into the prompt, and you’re ready to go\. Once inside, you can immediately start testing with preloaded queries such as `Get Token`,* *`Get Token With Image`, or `Get Owner By Balances By Contract`\. You’ll see responses appear in the right panel—perfect for validating data structure and performance\. You can also replace the default query variables with your own project\-specific values\. Or go fully custom and write a fresh query from scratch to pull exactly what you need\. ### Dive Into OneSource Playground The OneSource Playground gives you a visual, interactive way to understand what's available, what’s possible, and how to optimize your queries\. No guesswork\. Just a clean way to explore your data model and ship faster\. Find everything you need to get started, including example queries and configuration tips, in our [OneSource Playground Docs](https://docs.onesource.io/getting-started/playgrounds/onesource)\. ---------------------------------------------------------------------- title: "Q2 Highlights & What’s Coming Next for OneSource" description: "We’re excited to share some recent highlights and give you an early look at a powerful new feature coming soon to OneSource platform\\." source: "https://onesource.io/blog/q2-highlights-onesource" last_updated: 2025-07-24T19:25:28.000Z published: 2025-06-24T06:12:35.000Z author: "Elly Walkden" tags: "Announcement" ---------------------------------------------------------------------- Whether you're building your first dApp or scaling to millions of users, OneSource provides the foundational infrastructure to help you move faster—with structured access to critical blockchain data, high\-availability architecture, and flexible, developer\-friendly APIs designed for real\-world use cases\. As we wrap up Q2, we’re excited to share some recent highlights and give you an early look at powerful new features coming soon to the OneSource platform\. ### IRL Highlights from Q2 **🏤** #### Consensus, Toronto We had a blast co\-hosting the closing party at Consensus 2025\! Together with amazing partners like Otherlife, Rug Radio, Addressable, and HelloMoon, we helped shut down the event with three DJs and an open bar\.  #### NFC Summit, Lisbon We were proud to serve as an official tech partner at NFC Lisbon\! OneSource powered *The Tonight Show* hosted by RedBeard and 100 Collectors\. If you missed the action, [you can watch the full livestream here](https://x.com/NFCsummit/status/1930354145162346552)\. ### Faster, Smarter API Performance 🚀 The OneSource API is now faster and more scalable than ever, thanks to a major backend upgrade: database sharding\. With this new architecture, we’re delivering sub\-second response times—even under heavy load—enabling high\-throughput NFT use cases and a smoother developer experience\. Our custom sharding solution splits massive datasets like tokens and balances across multiple partitions, with intelligent query routing and transparent SQL rewriting\. This enables significantly better performance without requiring any changes to how developers query our API\. ## Looking Ahead As we head into Q3, we’re more focused than ever on delivering the tools you need to build faster, scale smarter, and unlock new possibilities in Web3\. ### Powerful Transaction Insights, Built\-In 📊 OneSource’s transaction data service is currently in development, with a full release targeted for the end of Q3\. This new service will provide structured, high\-performance access to every on\-chain transaction, capturing critical data points such as hash, block number, sender and receiver addresses, gas metrics, and call data\. With advanced filtering by hash, block, or address, developers can retrieve data quickly and efficiently\. The service will integrate with our existing [Assets](https://bpcontent.looksee.xyz/one-source-page/solutions/assets/), [Balances](https://bpcontent.looksee.xyz/one-source-page/solutions/balances/), and [Metadata](https://bpcontent.looksee.xyz/one-source-page/solutions/metadata/) endpoints for a unified view of on\-chain state\. A test environment rollout is expected in late June, with general availability to follow in September\. ### More Chains, Fully Integrated ⛓ We're expanding our network coverage in Q3 to include Shape, Arbitrum, Base, and Avalanche\. This marks a key step in our mission to support developers in a multichain future, offering flexible infrastructure for building across the ecosystems that matter most\. Layer 2s like Shape, Arbitrum, and Base are essential for scaling blockchain networks by reducing fees and increasing throughput\. Combined with Avalanche’s high\-performance Layer 1 architecture, this rollout ensures OneSource developers can access and interact with the most important chains in Web3 through one fast, unified API\. ### A Smoother Path to Web3 Integration 🔧 Soon, you’ll be able to subscribe and start building with OneSource directly from our website, no cloud console or procurement steps required \- [no AWS middle\-man](https://bpcontent.looksee.xyz/one-source-post/onesource-is-officially-live-on-the-aws-marketplace/)\. Fulfillment workflows are actively being built to support a seamless, end\-to\-end experience\. We’re targeting a full launch by the end of Q3\. And we expect this to be a major unlock as we scale access to the OneSource API\. Thanks for being part of this journey with us\. Stay tuned for more updates and, as always, we’re excited to see what you build next\. Follow us on [X](https://x.com/_onesource) or subscribe to our newsletter for the latest updates from the OneSource team\. ## Stay Ahead with Blockchain Insights *Email signup form* ---------------------------------------------------------------------- title: "Designing for Clarity: A Culture Framework for Web3 Teams" description: "Learn how clarity shapes startup culture in Web3\\. Use the CULTURE³ framework to build resilient decentralized teams\\." source: "https://onesource.io/blog/clarity" last_updated: 2025-07-24T13:40:55.000Z published: 2025-06-09T09:37:47.000Z author: "Elly Walkden" tags: "Learn" ---------------------------------------------------------------------- > In this latest installment of the CULTURE³ series, LJ Malberg, Chief People Officer at Blockparty, unpacks the often\-overlooked power of clarity in shaping culture within remote and decentralized teams\. When people ask me what the most underrated competitive advantage is inside any startup, especially in Web3, I give them the same answer every time: **Clarity**\. In our [introductory post on CULTURE³](https://www.onesource.io/blog/introduction-to-culture-building-an-authentic-web3-culture-from-the-inside-out), I explored what it truly means to build an authentic, human\-first culture from the inside out, especially in the context of decentralized Web3 teams\. This next installment focuses on one of the most foundational \(and underrated\) elements of clarity\. No matter the context, the companies that sustain excellence aren’t the ones with the most talent, the most funding, or even the most revolutionary products\. They’re the ones where everyone knows why they’re there, what they’re doing, where they’re going, who they’re serving, and how decisions are made\. Clarity is key\. In Web3, where teams are often fully remote, global, and self\-directed, clarity isn’t just helpful\. It’s essential to our survival\. ## Why Lack of Clarity Destroys Culture I’ll be direct\. Most startup cultures don’t fail because of bad intentions\- good intentions are the jumping off point\. They fail because people are making assumptions in a bubble, trying to control their environments while operating on limited information, and without a shared understanding of what’s happening\. - Who owns which decisions? - What values do we use to resolve conflict? - What are we building toward? and how well do we understand the problem we’re solving? - What happens when priorities shift? When these questions aren’t answered with precision, uncertainty creeps in\. Accountability breaks down\. Small misunderstandings turn into big ones\. [Gallup](https://www.gallup.com/workplace/657629/post-pandemic-workplace-experiment-continues.aspx) recently reported that **only 50% of U\.S\. employees strongly agree they know what’s expected of them at work** — and that number is *even lower* in remote and hybrid teams\.  In Web3, where freedom is built into the DNA of our work, this lack of clarity can accelerate into chaos pretty fast if we don’t have a framework of which to operate from\. ## Clarity as Decentralized Infrastructure We talk a lot in Web3 about decentralizing financial systems, data ownership, and governance\. But we rarely talk about decentralizing clarity**\. **Let me explain\. The single biggest complaint I hear from my friends who haven’t embraced blockchain tech is that they don’t understand it\. In order for us to reach mass adoption in Web3, clarity must live everywhere:** **inside each contributor, inside every smart contract, inside every governance proposal, and inside every conversation\. That means that as leaders, we aren’t just setting direction; we’re designing *distributed clarity systems*\. This is interesting because: - **Clear mission and vision** can guide individual decisions without constant oversight - **Clear values** can act as behavioral guardrails and can be easily implemented through action - **Clear roles, responsibilities and individual outcome expectations** can allow contributors to self\-manage \(making flat\-hierchal organizations more apt to succeed\) - **Clear decision\-making processes** can define who has authority and who has input \(i\.e\. we use the R\.A\.C\.I\. model for most decision making at Blockparty and it’s helped us to increase clarity, efficiency and accountability\) - **Clear accountability mechanisms** can create feedback loops to function effectively When clarity becomes systematized inside decentralized organizations, clarity equals freedom\. In other words when people understand the rules, they don’t need to be micromanaged\. ## The Culture³ Model: Start With Vision, Not Vibe Inside our **CULTURE³** framework, clarity is often the foundation\. Without it, the other elements \(User\-Ownership, Liberty, Transparency, Unity, Resilience, Empowerment\) can’t function\. One of the biggest mistakes I see founders make is confusing culture with vibe: - Ping pong tables? Vibe\. - DAO governance rules? Culture\. - Free swag? Vibe\. - Transparent conflict resolution processes? Culture\. I believe real culture \(the kind that lives and breathes in real time\) starts by making **implicit expectations explicit\. **Making people guess can increase inefficiencies and micromanagement, while also lowering morale\. Yuck\. Who is responsible for building a great culture of clarity? The answer is everyone\. When leaders model it top down and middle management, from the inside out, it gives everyone agency to act in service of clarity\. Clarity compounds\! The sooner you invest in it, the more \(clearly\) resilient your team becomes as you scale\. ## Three Great Questions to Ask When Building Clarity If you’re building or leading inside a Web3 organization, ask yourself \(and your team\) these three questions: 1. **What problem are we solving — and for whom?** 2. **What values govern how we work together?** 3. **How do we define and measure accountability in a decentralized system?**** ** Side bar: 1\. If your answers aren’t written down, they don’t exist\. 2\. If they exist but no one remembers them, they’re not alive\. 3\. If they’re alive, but not used to make decisions, they’re performative \. ## Clarity IS Leadership As Chief People Officer, I see clarity as a leadership responsibility that must be modeled across the organization\. The highest form of respect you can give your team is to give them the clarity they need to thrive\. If you don’t have the answers, say so\. And then go figure it out in a way that benefits the entire team; either directly or by proxy\. In startup culture– particularly Web3 startup culture, no one has it all figured out, and that’s part of the fun\! We at Blockparty might learn new information today, only to get foggy about something else we believed was true yesterday\. Clarity is a refinement process, and requires commitment from everyone to do the work\. In the end, it’s a powerful tool in your organization’s toolkit\. ---------------------------------------------------------------------- title: "EIP\\-4444 & the Road to Statelessness: How Indexers Will Support Ethereum’s Next Phase" description: "Third\\-party indexers like OneSource will play a vital role in a more scalable and decentralized stateless Ethereum ecosystem\\." source: "https://onesource.io/blog/stateless-ethereum-future" last_updated: 2025-07-15T18:31:07.000Z published: 2025-06-02T05:35:08.000Z author: "Elly Walkden" tags: "Learn" ---------------------------------------------------------------------- > As Ethereum moves closer to a stateless architecture, the way we interact with blockchain data is set to change dramatically\. But while nodes may become lighter, the need for accessible, well\-structured data remains\. In this article, we explore how third\-party indexers like the OneSource platform will continue to play a vital role in a more scalable and decentralized Ethereum ecosystem\. Stateless Ethereum represents a major shift in how Ethereum operates, with the goal of improving scalability and decentralization\. Today, Ethereum nodes must store the entire state of the blockchain: everything from account balances and smart contract data to the state root\. In a stateless future, this burden is lightened by using compact cryptographic proofs, called "witnesses," to validate transactions\. This transition is made possible by new data structures like Verkle trees, which optimize proof generation and verification\. The end result? Lighter nodes that can run on consumer\-grade hardware, paving the way for a more decentralized network\. With this approach, anyone can participate, driving a drastic increase in network participation and scalability\. ## The Benefits of Statelessness #### Enhanced Scalability By cutting down the amount of data each node needs to process, Ethereum can handle more transactions per second\. Statelessness improves Layer 1 efficiency, which in turn makes Layer 2 solutions more effective\. The result: faster, cheaper transactions across the network\. #### Improved Decentralization Statelessness opens the door for more participants to run nodes because the hardware requirements are far lower\. This means a more decentralized Ethereum network, where power and control are distributed across a larger number of participants\. #### Faster Synchronisation Nodes no longer need to download the entire blockchain state\. Instead, they can sync with the network more quickly, cutting down the time it takes for new nodes to join the ecosystem\. #### Facilitating Light Clients Stateless Ethereum also enables the development of light clients, lightweight nodes that can interact with the blockchain without relying on third\-party services\. ## The Role of Third\-Party Indexers in a Stateless Ethereum World While statelessness reduces reliance on full nodes, third\-party indexers like the OneSource platform will continue to play a critical role in the ecosystem\. Here's why: #### Enhanced Data Accessibility Statelessness minimizes node storage, but it doesn’t eliminate the need for historical and complex state data\. Indexers like the OneSource platform provide APIs that give developers and applications efficient access to this data, ensuring DApps can query and filter blockchain data quickly and reliably\. #### Support for DApps and EVM\-Based Products Decentralized applications often rely on historical transaction data, event logs, and complex queries that are not efficiently handled by stateless nodes\. Indexers solve this by aggregating and indexing blockchain data, enabling DApps to function smoothly\. #### Infrastructure for Advanced Features Features like analytics dashboards, real\-time notifications, and user\-friendly interfaces need fast, reliable access to blockchain data\. Indexers provide the infrastructure that powers these features, which are crucial for engaging users and scaling adoption\. #### Bridging the Transition As Ethereum transitions to a stateless model, there will be a period of overlap between stateful and stateless nodes\. Indexers ensure that applications continue to run smoothly during this transition by offering consistent, reliable data services\. ## Looking Ahead With the benefits of statelessness outlined and the enduring role of indexers made clear, one key question remains: is stateless Ethereum actually on the horizon, or is it still a distant vision? Earlier in May 2025, Vitalik Buterin addressed this topic directly, highlighting EIP\-4444, a proposed standard that introduces support for "light node clients\." If implemented, this proposal would allow Ethereum nodes to operate in a reduced capacity, storing only around 36 days of historical data\. This shift would significantly lower the resource requirements for node operators, pushing Ethereum closer to a stateless model\. Combined with the recent advancements from the Pectra upgrade, the momentum around EIP\-4444 signals that a future of "weak statelessness" is likely arriving sooner rather than later\. It's a meaningful step toward the long\-term vision of a more accessible, efficient, and decentralized Ethereum network\. For solutions like the OneSource platform, that means preparing for a world where state is more transient and clients may no longer store full contract histories\. We're already exploring how to ensure long\-term availability, indexability, and retrieval of relevant data in this new paradigm\. ## Conclusion The transition to a stateless Ethereum network represents a major leap forward in scalability and decentralization\. But as much as statelessness changes the way nodes work, it doesn’t eliminate the need for structured, accessible data\. Indexers like the OneSource platform will continue to play a critical role in this new Ethereum landscape, ensuring developers have the tools they need to build, scale, and thrive in a more efficient and decentralized network\. ---------------------------------------------------------------------- title: "OneSource \\+ Blockticity: Powering Trust at Scale" description: "Blockticity is harnessing the blockchain's transparency to transform product verification through digital Certificates of Authenticity, COAs\\." source: "https://onesource.io/blog/powering-trust-at-scale-how-blockticity-uses-onesource-to-bring-ai-ready-authenticity-to-global-trade" last_updated: 2025-12-07T12:45:56.000Z published: 2025-05-15T06:09:47.000Z author: "Elly Walkden" tags: "Case Study" ---------------------------------------------------------------------- > Blockchain offers a transparent, tamper\-proof way to verify authenticity—and Blockticity is harnessing that power to revolutionize product verification through digital Certificates of Authenticity \(COAs\)\. Learn how the OneSource Flex API enhances search, verification, and transparency across Blockticity’s digital supply chain platform\. When verifying authenticity could mean the difference between legal compliance and financial disaster, slow systems and unreliable tools can have serious consequences\. Blockticity is changing the game by turning Certificates of Authenticity \(COAs\) into tamper\-evident, machine\-readable, and AI\-ready digital assets, anchored to the blockchain for full traceability and trust\. These aren’t static PDFs or isolated records; they’re dynamic, data\-rich certificates powering everything from real\-time compliance checks to automated ESG scoring and fraud detection\. But delivering that level of assurance at scale requires the right infrastructure\. **That’s why Blockticity chose the [OneSource Flex API](https://www.onesource.io/solutions/flex-api) to handle their Web3 data needs—a scalable solution purpose\-built to deliver fast, structured, and reliable access to on\-chain data\.** ## About Blockticity Blockticity makes trade documentation tamper\-evident, machine\-readable, and ready for AI analysis\. By minting COAs as ERC\-721 tokens on Avalanche, they create immutable records of authenticity, with traits like lab results, ESG indicators, and geolocation fully indexed and instantly searchable\. > *“We chose blockchain because it’s the only infrastructure that makes COAs tamper\-evident by design, verifiable by anyone, and trusted without a central authority\.”* — *Blockticity Team* From authenticating precious metals for supply chain transparency to ensuring lab\-tested pharmaceuticals meet strict regulatory standards, Blockticity delivers the proof that high\-stakes industries demand\. In sectors where a single forged document can lead to millions in losses, or regulatory collapse, Blockticity offers a trusted, verifiable source of truth\.  ## From Patchwork to Precision Before integrating with the OneSource platform, Blockticity relied on a patchwork of third\-party services and internal dashboards to display and index their COAs\. This created a huge gap in reliability, especially during demos or compliance reviews, where timing and accuracy matter\. They had no control over how or when metadata appeared, and no guarantee that traits would render correctly\. Their team had to manually confirm mint events, troubleshoot missing COAs, and build custom scripts just to retrieve and verify metadata\. It was brittle, reactive, and completely dependent on third\-party platforms they didn’t control\. As a platform built on trust and verification, that dependency undermined the entire experience–for both their team and their clients\. They needed a solution that gave them real\-time, structured access to their own data, so they could scale, automate, and build confidently\. ## The Solution To meet their growing data demands, Blockticity partnered with OneSource to implement a production\-grade indexing and query layer tailored to their ERC721\-based COAs\. Each record carries critical metadata—client names, order identifiers, timestamps, and more—all of which needed to be searchable, accessible, and reliable\. Our solution included: - **Real\-time indexing**: Every COA is available for verification immediately after minting—no delays, no guesswork\. - **Custom metadata queries**: Tailored endpoints feed directly into Blockticity’s AI/ML pipelines for compliance scoring and anomaly detection\. - **Developer playground**: Their team can prototype new schemas, simulate changes, and test integrations—all before pushing to mainnet\. As a result, Blockticity no longer has to rely on third\-party explorers or manual checks to confirm minting; metadata is available immediately and structured the way they need it\. This empowers their team to surface tamper\-event COAs in real\-time, feed them directly into their AI systems, and enable scalable search, scoring, and verification across their platform\. > For Blockticity, indexing isn’t just about making data visible—it’s about making it useful\. OneSource gives us clean, structured access to COA metadata so we can power AI\-driven insights on physical RWAs\. It’s a foundational layer that’s helped us move faster, with more confidence, as we scale \- *Blockticity Team* With OneSource, Blockticity has eliminated third\-party dependency and manual overhead\. [Metadata](https://bpcontent.looksee.xyz/one-source-page/solutions/metadata/) is now immediately available, structured to spec, and fully integrated into their systems\. They can now: - Surface tamper\-evident COAs in real\-time - Feed data directly into AI pipelines - Enable scalable search, scoring, and verification This integration allows Blockticity to scale with confidence, while the OneSource platform handles the heavy lifting of data aggregation and indexing\. ## Looking for a Smarter Way to Handle Web3 Data? If your Web3 app demands more specialized data handling, [OneSource Flex API](https://www.onesource.io/solutions/flex-api) provides unmatched flexibility, allowing you to retrieve, structure, and manage blockchain data precisely to your needs\. Our experienced team of [crypto\-native engineers](https://bpcontent.looksee.xyz/one-source-post/what-to-look-for-in-a-blockchain-data-provider/) will work closely with you to understand your goals and design custom data solutions that enhance performance and user experience\. Let us handle the infrastructure so you can focus on what you do best: building\. [Learn more](https://www.onesource.io/solutions/flex-api) about OneSource Flex API or [get in touch](https://www.onesource.io/contact) for custom solution inquiries\. ---------------------------------------------------------------------- title: "Introduction to CULTURE³: Building an Authentic Web3 Culture" description: "LJ Malberg, Blockparty's Chief People Officer, shares a powerful, values\\-driven framework for building authentic, human\\-first culture in Web3\\." source: "https://onesource.io/blog/introduction-to-culture-building-an-authentic-web3-culture-from-the-inside-out" last_updated: 2025-07-15T18:29:33.000Z published: 2025-05-08T13:20:52.000Z author: "Elly Walkden" tags: "Learn" ---------------------------------------------------------------------- > LJ Malberg, Chief People Officer at Blockparty, shares what it truly takes to cultivate an authentic, human\-first culture in Web3, from the inside out\. In this opening post of her CULTURE³ blog series, she reflects on the path that led her to People & Culture—and introduces a values\-driven framework designed to support accountability, clarity, and resilience in decentralized teams\. I didn’t always work in People & Culture\. As I built my career over three decades, first as a performing artist, then artist management, then in concert ticketing and market strategy for major music tech companies, and finally as an executive coach, it was always the *people* that I found so compelling\. How they created and built, collaborated, communicated, and how, in the best of times and in challenging times, they kept on creating\. I’ve seen firsthand how brilliant talent crumbles in the absence of accountability\. How companies with stunning ideas stall out when internal culture is ignored or misaligned\. And how deeply people yearn to belong—not just to a team or a brand, but to something *real*\. Something that feels like a reflection of their truest values\. This is what brought me to People & Culture\. And now, as Chief People Officer for a Web3 startup, I want to talk about what it really means to build culture from the inside out—especially in a space that’s small but mighty, and values decentralization, innovation and integrity at its core\. ## Why Culture *Matters* in Web3 In a Web3 world built on trustless systems, blockchain validation, and user sovereignty… culture might seem like a soft concept\. But it’s not\. It's the connective tissue of every decentralized organization\. And it’s one of the few things you *can't* fake\. > In fact, research from [McKinsey](https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/organizational-health-is-still-the-key-to-long-term-performance#) shows that companies with strong organizational health \(read: clear purpose, values alignment, and culture\) *is the best predictor of sustainable success*\. And in decentralized environments, *people don’t stay because they have to*—they stay because they choose to\. That’s not just a culture goal\. It’s essential\. ## CULTURE³: A Framework for Web3\-Aligned Culture To make these ideas practical and actionable, I developed a framework called **CULTURE³** specifically designed for our Web3 environment at Blockparty where excellence, integrity and vision are not just values, they’re *operating systems*\. CULTURE³ stands for: **Clarity** – of mission, vision, and values\. **User\-Ownership** – culture shaped by and for the company\. **Liberty** – trust through decentralization and self\-sovereignty\. **Transparency** – open communication as a default\. **Unity** – building cohesion and community within a remote work environment\. **Resilience** – adaptability and learning in an evolving, fast\-paced space\. **Empowerment** – people stepping into leadership at every level\. **³** – because this isn’t Web2\. It’s a new paradigm\. We’re not just managing teams or creating HR policies\. We’re designing micro\-ecosystems where accountability *replaces* control\. Where psychological safety replaces bureaucracy\. Where culture isn’t just “the vibe”\. It’s *the infrastructure*\. ## From the Inside Out Too often, I see culture being treated like branding or perks; an external layer of polish\. I’m regularly reminded that real culture doesn’t start with slogans or Flexible \(read: half\-day\) Fridays– which for the record, we’ve been implementing for over a year and a half with great success\. It starts with how people feel when they show up to join the team call\. It starts in those small, in\-between moments: how we talk to each other, how we disagree, how we make decisions, how we *repair and recover* after conflict\. > A recent [Gallup](https://www.gallup.com/workplace/349484/state-of-the-global-workplace.aspx) report found that only 23% of employees worldwide are engaged at work, and just 33% strongly agree that they trust the leadership of their organization\. We can do better, much better\. Especially in Web3, where our communities are often asynchronous, distributed, and have wildly varied backgrounds\. What an opportunity\! This blog series will explore each element of the CULTURE³ framework, one by one\. I’ll share what we’re learning as we build, what’s working \(and what’s not\), and how you can apply these insights inside your own decentralized teams, DAOs, or Web3 startups\. ## What to Expect Next In the next post, we’ll explore the first principle: **Clarity**\. What does it mean to lead with clarity in the Web3 world that changes daily? How do you make values *practical*, not just aspirational? And how do you create enough clarity to inspire action, while still leaving room for individual freedom? This is a conversation about what it means to lead human\-first in a decentralized future\. ---------------------------------------------------------------------- title: "5 Best Practices for Launching a Web3 App" description: "Planning to launch a Web3 app? Learn the 5 essential technical decisions that set you up for long\\-term success\\." source: "https://onesource.io/blog/best-practices-for-launching-a-web3-app" last_updated: 2025-12-07T12:45:27.000Z published: 2025-05-02T08:27:25.000Z author: "Elly Walkden" tags: "Learn" ---------------------------------------------------------------------- > Building a successful Web3 app starts with making smart, forward\-thinking technical decisions—from selecting a scalable data API to ensuring optimal performance and uptime\. OneSource API is built for teams who need robust data coverage and high\-speed performance, offering the flexibility to grow and adapt as your app scales\. Developing a Web3 app is a complex journey, and the choices you make early on are crucial\. Selecting the right providers and laying a strong infrastructure foundation will save time and resources down the road, as altering these decisions later can be both challenging and costly once your project gains traction and your user base expands\. ## Assessing Technical Feasibility: Laying the Groundwork for Your Web3 App With a solid app concept and a clear user problem to solve, it’s time to dive into the technical feasibility of your solution\. This step involves evaluating the technical landscape to ensure you make informed decisions that will support long\-term growth and scalability\. Whether you're building for thousands or millions of users, laying the groundwork for a scalable and resilient architecture today ensures your app can handle future demands and deliver consistent, reliable experiences\. ## Key Tech Considerations After selecting your blockchain network, the next key decision is choosing a data API that aligns with the vision and needs of your app\. The data API you choose will influence everything from performance to user experience, scalability, and future growth\. Selecting the right data API is not just a technical decision—[it’s a business\-critical factor](https://bpcontent.looksee.xyz/one-source-post/what-to-look-for-in-a-blockchain-data-provider/) that can significantly affect the success of your Web3 app\. When choosing a data provider for your Web3 app, it's essential to look beyond basic functionality\. Carefully evaluate the factors that will ensure your app performs well, scales effectively, and delivers a seamless UX as it grows\. Below are the key elements to consider during your decision\-making process\. ## 1\. Examine the Needs of Your Use Case Start by clearly defining your use case and your app's goals\. Audit user needs, set transaction volume targets, and outline the key technical requirements specific to your use case\. For example, DeFi apps require high transaction concurrency with ultra\-low latency, [while NFT marketplaces](https://bpcontent.looksee.xyz/one-source-post/optimizing-nft-media-retrieval-with-onesource/) need fast, reliable media access in multiple resolutions to optimize the UX\. If your app is expected to handle high transaction volumes, you’ll likely need a backend solution designed for high throughput while maintaining optimal performance\. By defining your use case and the most critical technical requirements early on, you'll be better positioned to select an API that meets both your current and future needs\. ## 2\. Ensure Reliable Node Infrastructure Your node infrastructure is the backbone of your Web3 app\. Ensure that your chosen provider guarantees exceptional uptime—ideally 99\.9%\. Consistent uptime is crucial for maintaining a seamless user experience and ensuring that your app operates smoothly with minimal disruptions\. ## 3\. Meet All Your Project's Data Needs By this point, you should have a clear understanding of the types of on\-chain and off\-chain data your project requires, as well as the blockchain networks you'll be integrating with\. Opt for a solution that provides comprehensive data coverage to minimize the number of APIs you need to integrate\. This can streamline your development process and reduce complexity in the long run\. ## 4\. Maximize Speed with Performance\-Driven APIs In the fast\-paced world of Web3, speed is crucial\. Optimizing your app's backend and utilizing fast data indexing solutions can significantly enhance the UX\. Slow responses or delays in data fetching can frustrate users, ultimately driving up churn\. Therefore, choose a data API provider known for [fast and flexible data retrieval](https://bpcontent.looksee.xyz/one-source-post/optimizing-nft-media-retrieval-with-onesource/)\. ## 5\. Stay Agile and Iterate Quickly Avoid technical debt traps: choose tools designed for what your app is today and what it's poised to become\. By adopting an agile development approach, you can continuously test, gather user feedback, and iterate on your app to stay ahead of technological changes and evolving user needs\. A flexible data solution will allow you to pivot when necessary, ensuring your architecture stays aligned with the latest advancements\. ## OneSource API: A Low\-Latency Data for Scalable Applications For teams seeking comprehensive data coverage and a reliable solution that scales with their needs, OneSource API can be an ideal fit\. Built for high\-performance projects, the OneSource API ensures your application remains fast, responsive, and [capable of handling growth](https://bpcontent.looksee.xyz/one-source-post/powering-trust-at-scale-how-blockticity-uses-onesource-to-bring-ai-ready-authenticity-to-global-trade/) seamlessly\. Here are some key features that make the OneSource API a powerful choice for your Web3 app: - **Access various data types, including assets, balances, media, and metadata\.** With OneSource, you can unify both on\-chain and off\-chain data through a single endpoint, streamlining your integration process\. - **With a guaranteed 99\.9% uptime, OneSource API ensures your app operates smoothly **with minimal disruptions, maintaining a high\-quality UX at all times\. - **Retrieve data instantly via a low\-latency API\.** [Powered by GraphQL](https://www.onesource.io/blog/solving-the-data-challenge-in-web3-apps-with-graphql), OneSource API enables you to fetch only the data you need in a single request, reducing complexity and enhancing performance\. - **Scale to thousands of requests per second,** ensuring reliable data processing as your app grows\. Designed with flexibility and customization in mind, OneSource API can support your app seamlessly from MVP to enterprise\-level solutions\. By evaluating your application's technical feasibility and assessing factors such as scalability, performance, and long\-term viability, you lay the foundation for a successful Web3 development journey with the right data solution\. **Launch your Web3 app with the OneSource API—[get started in minutes](https://www.onesource.io/get-started) via the AWS Marketplace\!** ---------------------------------------------------------------------- title: "Optimizing NFT Media Retrieval with the OneSource API" description: "Explore common challenges in handling NFT media and how the OneSource platform simplifies the process\\. Build faster with NFT media retrieval\\." source: "https://onesource.io/blog/optimizing-nft-media-retrieval-with-onesource" last_updated: 2025-11-18T07:12:16.000Z published: 2025-04-23T07:41:09.000Z author: "Elly Walkden" tags: "Learn" ---------------------------------------------------------------------- > Retrieving and displaying NFT media efficiently is a major challenge for Web3 projects, with issues like slow load times, broken images, and inconsistent rendering\. The OneSource Web3 API simplifies this process by optimizing media delivery, ensuring a seamless experience for users and developers alike\. NFTs comprise three key components: on\-chain ownership data, off\-chain metadata, and media\. Because NFTs are closely tied to visual content, ensuring a seamless media experience is essential\. However, efficiently managing NFT media poses challenges, particularly for platforms displaying large volumes of tokens at once\. In this post, we examine common obstacles in NFT media retrieval and how the OneSource Web3 API offers a streamlined solution\. ## The Challenges of NFT Media Retrieval As NFT collections continue to grow in scale and complexity, developers face a number of hurdles when it comes to efficiently retrieving and displaying NFT media in their applications\. ### Multi\-Location Storage and Latency Many NFT collections store their original media on decentralized systems like IPFS, Arweave, as well as third\-party servers\. Accessing these links often requires a gateway, introducing performance bottlenecks such as slow load times, broken images, and an inconsistent user experience\. ### Various File Formats and Rendering NFT collections increasingly incorporate various media formats, including SVGs, videos, 3D models, and audio files\. Different blockchain\-based products may require media assets in various sizes or resolutions to accommodate specific use cases\. Without an efficient way to generate and serve these variations, platforms can experience slow performance, inconsistent visuals, poor display quality, and server strain\. ### Dynamic NFTs and Data Refreshes NFTs are becoming increasingly dynamic and can change over time—whether through updates from the collection creator or reacting to user interactions—it’s essential to keep metadata and media up to date\. Failing to do so can result in outdated or incorrect visuals, misleading users and devaluing the overall NFT experience\. ## How the OneSource API Optimizes NFT Media Delivery ### Faster and More Reliable Media Delivery The OneSource API proactively retrieves and stores NFT media locally, serving fast, optimized images and thumbnails directly from our infrastructure—so your users see their NFTs instantly, without third\-party delays\. ### Why it Matters - **Faster retrieval:** Eliminate unnecessary network requests, since the NFT data is stored locally\. - **Improved rendering:** Speed up NFT media delivery, ensuring users see their NFTs instantly\. - **Reduced dependency:** Avoid delays caused by third\-party servers or decentralized storage\. ## Optimized Thumbnails for Different Use Cases Different dApp use cases require different image sizes\. For example, an NFT marketplace might need smaller thumbnails for browsing pages but larger, high\-resolution media for detailed asset previews\. Without proper image optimization, users can experience slow load times, poor visuals, and unnecessary server strain\. The OneSource API automatically generates thumbnails in various sizes tailored for different contexts, whether it’s for browsing, previewing, or displaying NFTs at full resolution\. ### Why it Matters - **Improved performance across devices and environments:** Tailored images ensure that thumbnails are optimized for specific use cases\. - **Faster load times:** Reduce page load times by serving optimized media, enhancing UX\. - **Reduced server load:** Cut down on unnecessary bandwidth consumption and server strain\. ## Automatic Metadata and Media Refreshes The NFT landscape is dynamic in nature—assets can evolve post\-minting with updates such as new achievements, hidden artwork reveals, or changes in metadata\. It's crucial that users see the most up\-to\-date information about their assets\. The OneSource API automates the process of refreshing media and metadata\. Our API continuously scans off\-chain sources for media updates, crawls the blockchain to detect metadata changes, and ensures that users always see the latest version of each NFT\. ### Why it Matters - **Consistent UX:** Ensure that NFTs are always up to date, improving user satisfaction\. - **No manual updates needed:** Developers don’t have to manually refresh or update data\. - **Seamless updates:** Keep your dApp current with the latest NFT changes without adding extra complexity\. ## Start Building With the OneSource API If you're developing a Web3 product that uses NFT media, The OneSource API streamlines the retrieval and management of media and metadata, resulting in faster performance and a better UX\. By handling media delivery behind the scenes, the OneSource platform lets developers focus on building the features that matter most\. **[Get started today](https://www.onesource.io/get-started) on the AWS Marketplace or [connect with the team](https://www.onesource.io/contact) for custom solutions tailored to your specific needs\.** ---------------------------------------------------------------------- title: "Solving the Data Challenge in Web3 Apps with GraphQL" description: "GraphQL is a core component of OneSource, allowing developers to request only the data they need\\. Build with more efficiency and flexibility\\!" source: "https://onesource.io/blog/solving-the-data-challenge-in-web3-apps-with-graphql" last_updated: 2025-12-07T12:44:57.000Z published: 2025-04-16T06:55:47.000Z author: "Elly Walkden" tags: "Learn" ---------------------------------------------------------------------- > GraphQL is a query language for APIs that lets you request only the data you need, making it more efficient and flexible than traditional REST APIs\. That's why we chose it as a core component in the design of the OneSource platform\. Building Web3 apps that leverage on\-chain data can often feel like a daunting task\. One of the biggest hurdles is gathering all the necessary information your dApp needs\. Each page may require data from dozens of different sources, and pulling it all together while ensuring the data is always up\-to\-date is no easy feat\. ## The Challenge For over two decades, REST has been the standard for building web APIs, particularly for data retrieval\. REST introduced powerful concepts like stateless communication and resource\-based endpoints, which served traditional web apps well\. However, as applications grew more data\-hungry and complex, REST’s rigid structure revealed two major shortcomings: - **Over\-fetching:** When an API response contains more data than the client actually needs\. This wastes bandwidth, increases response times, and adds unnecessary processing overhead on both the client and server\. - **Under\-fetching:** When a single API request doesn’t return enough data, forcing the client to make multiple requests to retrieve everything it needs\. This leads to increased latency, network overhead, and a heavier load on the server\. ## Overcoming Web3 Data Hurdles with GraphQL REST’s limitations are even more evident when dealing with the fragmented and rapidly evolving data landscape of Web3\. This is where GraphQL comes in\. This query language and runtime provides Web3 app developers with more flexibility and control when interacting with APIs, allowing them to request only what’s needed—rather than relying on the data source to decide\. GraphQL helps resolve both under\-fetching and over\-fetching, optimizing overall performance and enhancing the efficiency of dApps\. ## Essential for scalable dApps GraphQL has proven to be a game\-changer when managing data for Web3 apps\. It’s ideal for handling large, complex, and interrelated data sources, and it enables the building of scalable apps without the constraints of traditional REST APIs\. GraphQL is likely the best choice if you: - Need to combine multiple data types into a single route\. - Have varied client requests requiring significantly different responses\. - Want to minimize bandwidth usage by reducing the number of requests and responses\. ## Unlocking the Power of GraphQL: Flexibility, Performance, and Efficiency GraphQL is more than just a query language; its tailored set of tools prioritizes performance, flexibility, and an improved developer experience\. Let’s take a closer look at some of the features and benefits it brings to Web3 app developers\. ### 1\. Access multiple data sources with a single request GraphQL simplifies complex queries by allowing you to access multiple data sources and types via a single endpoint\. It fetches nested and related data in one go, minimizing the number of network requests and optimizing data retrieval\. ### 2\. Get exactly the data you need Unlike traditional APIs, GraphQL provides the flexibility to request only the data that’s required\. There’s no over\-fetching\. Developers can specify exactly what data they need, and GraphQL will return the results in a structured format\. This level of precision is made possible by a strongly typed GraphQL schema, which makes describing the exact data you want or need incredibly easy\. When a request is made, it is validated against the schema, ensuring predictable results and making it easier for developers to use the API\. ### 3\. Streamline your development workflow The GraphQL schema is the foundation that enables GraphQL playgrounds—flexible, interactive environments for working with GraphQL APIs\. Acting as a graphical user interface, playgrounds allow developers to easily explore their queries and requests within the context of the schema\. Playgrounds simplify the process of navigating the data structure, experimenting with queries, and optimizing them for better performance—all through an intuitive interface\. ### 4\. Enhance dApp performance and responsiveness With GraphQL, you can offer high\-speed performance for both API requests and responses\. By consolidating multiple data sources into one request, you reduce the number of network inquiries, resulting in faster load times and improved user experience\. ### 5\. Boost team efficiency One of GraphQL’s standout features is how much it simplifies development\. It reduces the need for excessive code, as all that’s required is knowing the data the app needs from the backend\. GraphQL allows developers to easily describe, define, and request specific data via an API, leading to faster turnarounds for both frontend and backend teams\. ## Optimized GraphQL Data Retrieval with OneSource The OneSource platform leverages the power of GraphQL, enabling app developers to retrieve customizable data with minimal effort\. It consolidates various data types into a single API, offering access to on\-chain data like [assets](https://bpcontent.looksee.xyz/one-source-page/solutions/assets/), [balances](https://bpcontent.looksee.xyz/one-source-page/solutions/balances/), [media](https://bpcontent.looksee.xyz/one-source-page/solutions/media/), and [metadata](https://bpcontent.looksee.xyz/one-source-page/solutions/metadata/)\. You can map your data as needed along any connected route, handling complex queries within a single request\. [Get started](https://www.onesource.io/get-started) with the OneSource Web3 API in minutes with just a few lines of code via the AWS Marketplace\. ---------------------------------------------------------------------- title: "4 Crucial Factors When Choosing a Blockchain Data Provider" description: "Explore key factors \\- uptime, scalability, and developer support \\- to find the best blockchain data provider for your dApp\\." source: "https://onesource.io/blog/what-to-look-for-in-a-blockchain-data-provider" last_updated: 2025-12-03T06:21:18.000Z published: 2025-04-09T11:20:52.000Z author: "Elly Walkden" tags: "Learn" ---------------------------------------------------------------------- > Choosing the right blockchain data provider can make or break your Web3 product–with downtime, sluggish performance, and restrictive pricing getting in the way of your success\. Here’s what to look for when selecting a blockchain data provider that can support your project at every stage of growth\. Web3 technology can be complex, requiring specialized programming skills and experience\. Blockchain data providers act as a gateway for Web3 developers, enabling them to launch blockchain\-based products quickly and efficiently\. Rather than having to build and maintain infrastructure, developers can focus on building their product while the data provider ensures seamless access to the blockchain\. In this comprehensive guide, we explore the theoretical foundations of what makes a good blockchain data provider, highlighting key considerations for developers and enterprises alike\. ### 1\. Reliability & Uptime A dependable blockchain data provider ensures uninterrupted access to the blockchain, preventing disruptions that could impact user experience or lead to missed transactions\. Look for a provider that guarantees at least [99\.9% uptime](https://onesource.io) and offers failover mechanisms to mitigate downtime risks\. ### 2\. Scalability As your project grows, so will its data and transaction demands\. Your provider must be equipped to handle high traffic volumes without compromising speed or reliability\. Opt for solutions with high\-throughput architectures to ensure your application remains responsive, even during peak usage\. ### 3\. Flexible Pricing Managing blockchain infrastructure is costly, making third\-party data providers a more economical choice\. However, simplicity and flexibility is just as important as affordability\. Many providers use complex pricing models, such as point\-based API credits, making it difficult to predict costs\. When choosing a provider, look for straightforward, scalable pricing with clear rate limits and free tiers for early\-stage projects, so you can scale up or down as needed without upfront commitments or unexpected expenses\. ### 4\. Developer Support Even the most reliable systems can encounter problems\. Having access to an experienced support team is essential for resolving issues swiftly and preventing costly setbacks\. Take a look at the support options a provider offers—do they have a crypto\-native team? Is their documentation user\-friendly and easy to navigate? The right support can make a significant difference in troubleshooting and gaining valuable insights\. ## Why Choose OneSource? Designed to simplify blockchain development, the OneSource platform provides streamlined access to on\-chain data through a powerful Web3 API\. Developers can retrieve token balances, assets, media, and more with just a few lines of code, eliminating the heavy lifting of handling raw blockchain data\. But what makes OneSource the right choice for your dApp? ### Reliability & Uptime The OneSource Web3 API guarantees 99\.9% uptime for your app, so you can count on it being available\. In the rare event of an issue, its auto\-failover jumps into action, instantly redirecting traffic to other active containers to avoid any disruptions\. ### Scalable by Design The API seamlessly handles thousands of requests per second, ensuring consistent, high\-speed performance even during traffic spikes\. With intelligent autoscaling, additional containers are deployed automatically during high\-demand periods—keeping your app fast and responsive for mainnet launches, airdrop surges, and everything in between\. ### Flexible Pricing Start building at no cost, and scale at your own pace\. With no long\-term contracts or upfront fees, the OneSource platform offers clear, usage\-based pricing: one request equals one request\. No confusing point systems or surprise charges\. Whether launching a new dApp or scaling an existing product, choose a plan that grows with you\. ### Developer Support As a hands\-on, dedicated team, we work closely with our users to ensure their success\. Our responsive developer support team is always ready to resolve issues quickly, keeping your project on track\. We also provide [comprehensive documentation](https://docs.onesource.io/) and [getting\-started guides](https://docs.onesource.io/getting-started/) to ensure you're fully equipped for the journey ahead\. A responsive support team is available to help resolve issues quickly and keep development on track\. [Comprehensive documentation](https://docs.onesource.io/) and [getting\-started guides](https://docs.onesource.io/getting-started/) make onboarding simple, while personalized assistance ensures teams have what they need at every stage of the build\. ## Final Words Navigating the world of Web3 technology and blockchain development can be challenging, but the right data provider can make all the difference \- find out exactly [why Blockticity chose OneSource](https://bpcontent.looksee.xyz/one-source-post/powering-trust-at-scale-how-blockticity-uses-onesource-to-bring-ai-ready-authenticity-to-global-trade/) to power their exponential growth\. With the OneSource platform, you get reliable, scalable, and affordable infrastructure that frees you to focus on building your product rather than worrying about the complexities of managing blockchain data\. Read more on [best practices for launching a Web3 app](https://onesource.io/blog/best-practices-for-launching-a-web3-app) and[sign up for a free account](https://www.onesource.io/get-started)** **today to start building with the OneSource Web3 API\! ---------------------------------------------------------------------- title: "The OneSource API is Officially Live on the AWS Marketplace\\!" description: "Access real\\-time, cross\\-chain data with seamless integration to build your blockchain project faster and easier\\. Live on AWS now\\." source: "https://onesource.io/blog/onesource-is-officially-live-on-the-aws-marketplace" last_updated: 2025-12-03T06:57:25.000Z published: 2025-04-01T12:37:00.000Z author: "Sean Madrid" tags: "Announcement" ---------------------------------------------------------------------- > The OneSource platform is built to give developers and product teams the essential data infrastructure needed to build scalable, personalized Web3 applications\. Today, we’re excited to announce the general availability release of the OneSource Web3 API on the AWS Marketplace—a robust data foundation designed to unlock the full potential of blockchain development\. The OneSource platform was born from Blockparty, a Web3 innovation hub committed to advancing next\-generation blockchain solutions\. Since 2020, Blockparty has recognized the immense potential of blockchain technology\. As a result, we quickly realized that developers couldn’t build and scale efficiently because they lacked reliable Web3 data infrastructure\. We felt this challenge firsthand while working on our own ambitious dApps, and we couldn’t find a backend indexing solution that truly met our needs\. The tools available at the time were slow—often taking months to index data—prone to frequent downtime, and lacked the features and flexibility needed for dynamic use cases\. Without a unified solution, developers had to stitch together services from multiple providers, custom\-build indexing layers, and manually query raw blockchain nodes — an inefficient, fragmented approach that slowed development and stifled innovation\. Web3 products can’t fully scale on fragmented infrastructure, so we built a single, comprehensive solution: OneSource\. ## Built and Battle\-Tested by Developers We tested that solution across our own projects and apps, including NFT Protocol and the On\-Chain Brokerage System\. Each scenario served as a live testing ground, enabling us to fine tune our technology and validate its performance in real\-world production environments\. As our infrastructure evolved, so did our vision\. In 2023, we began developing our Web3 API with an eye toward enhanced data processing efficiency and broader ecosystem integration\. What started as an internal tool to support our Web3 projects has since transformed into a robust platform capable of powering a broad range of decentralized applications\. ## Meet OneSource Designed to streamline blockchain development, the OneSource platform provides [a powerful Web3 API](https://onesource.io/solutions/flex-api) that delivers real\-time, structured data from Ethereum and Optimism\. Developers can easily access token balances, assets, media, and more—without managing the complexity of raw on\-chain data\. ## Key Benefits ### Unified Data Access The OneSource API simplifies data management by transforming unstructured blockchain data into a structured format that is easy to query\. Accessible via [GraphQL](https://www.onesource.io/blog/solving-the-data-challenge-in-web3-apps-with-graphql), developers can request highly customizable data in a clean, straightforward manner\. ### Seamless Performance Developers building on the OneSource platform benefit from 99\.9% uptime and ultra\-low\-latency data retrieval, ensuring real\-time responsiveness and smooth operations\. Designed for scalability, its high\-throughput architecture can seamlessly handle thousands of requests per second, ensuring smooth data processing even under heavy traffic\. ### Streamlined Deployment Get started on the AWS Marketplace in minutes with a few lines of code\. The platform is backed by [extensive documentation](https://docs.onesource.io/), easy\-to\-follow guides, and responsive developer support to help users every step of the way\. Start for free, explore the API, and upgrade to a paid plan when you're ready to scale\. With flexible pricing options, the OneSource platform supports your growth from MVP to enterprise\-level needs\. ### Community\-Driven Development The OneSource platform is designed to evolve alongside its users\. Guided by feedback from the developer community, its roadmap is shaped by real\-world use cases—ensuring ongoing improvements that address practical challenges and adapt to shifting needs\. ### Customizable Solutions For projects that demand greater customization, the OneSource [Flex API](https://www.onesource.io/solutions/flex-api) delivers a tailored approach to on\-chain data\. With advanced configurability, it allows teams to fine\-tune queries for efficiency and precision\. Built through close collaboration, each Flex integration meets specific technical needs and fits seamlessly into existing systems\. This is a major milestone for our team, and we couldn’t be more excited to see what you build\! [Get started today](https://www.onesource.io/get-started) on the AWS Marketplace, or [get in touch](https://www.onesource.io/contact) for custom API inquiries\. ## Stay Ahead with Blockchain Insights Subscribe to receive the latest data trends, product updates, and expert insights from OneSource — your guide to the evolving world of Web3\. *Email signup form*