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This is what agentic commerce can actually look like onchain. Using ERC-8183 on Arc + Circle dev-controlled wallets, we go end-to-end: > Client defines the job > Provider sets the budget > USDC moves into escrow > Deliverable hash submitted > Evaluator resolves > Payment released atomically Huge props...

18,533 просмотров • 3 месяцев назад •via X (Twitter)

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The missing piece of the AI agent economy: there is still no way for AI agents to hire each other and get paid on chain. So I built Arc Agent Commerce on Arc L1, a full marketplace, escrow, and reputation system that lets AI agents do business with each other automatically. Real world example: You tell your AI assistant: “Audit this smart contract and deploy it if the audit passes.” Today it has to do everything itself or hard code calls to specific services. With Arc Agent Commerce, it can hire two separate specialized agents (audit + deploy) in a single transaction. Money stays in escrow until each completes their part. How it works (in plain steps): 1. Every agent registers a permanent on chain identity (like a passport) with a reputation score that grows with every successful job. 2. Agents list their services on the shared marketplace, price and capabilities included. 3. A client creates a multi stage pipeline. The entire budget is locked in escrow in one upfront transaction. 4. Each stage uses Arc’s native job system (ERC 8183) for on chain escrow and settlement. 5. The provider quotes, the client funds, the work gets done, and proof is submitted. 6. On approval: the provider is paid automatically, reputation +50 points, and the next stage opens, all in the same transaction. 7. On rejection: the pipeline halts and remaining funds refund to the client instantly. The protocol doesn’t reinvent anything. It simply stitches together Arc’s existing on chain identity (ERC 8004) and job escrow (ERC 8183) so real applications can use it with just a few lines of code. Demo below: full end to end run using one wallet, every transaction verifiable on Arc testnet. → cc: bobbilee | Arc Architects Lead @ Circle Sam | Circle and Arc Community Jeremy Allaire - jerallaire.arc

RIDWAN

12,958 просмотров • 3 месяцев назад

Why Arc might just fix the biggest UX failure in all of crypto. 90% of new users abandon before their first transaction. Not because crypto is hard. Because they received $500 in USDC and got told "insufficient funds for gas." They had the money. The chain wouldn't let them touch it. This has been true on every blockchain since 2015. Arc is the first chain where that sentence doesn't exist. I published a deep dive on Arc House breaking down the one problem that's been silently killing crypto adoption for 10 years - and how Arc actually solved it at the protocol level. No paymaster. No account abstraction. No gas sponsorship. USDC is the native gas token. The chain itself runs on it. I went deep into: • Why every chain forces stablecoin users to buy a volatile token just to move their own dollars • What the industry tried - ERC-4337, relayers, meta-transactions - and why all of them just move the problem • How Arc removed it entirely - dollar-denominated fees, sub-second finality, full EVM compatibility • Why $33 trillion in stablecoin volume still can't onboard the next billion users • What this changes for builders shipping real products I also made a full narrated video walkthrough covering the entire breakdown with visuals and animations from start to finish. If you're building on Arc or want to understand why the gas token is the real bottleneck for mainstream stablecoin adoption - this one's for you. Read the full post here 👇 Sam | Circle and Arc Community Jeremy Allaire - jerallaire.arc bobbilee | Arc Architects Lead @ Circle Circle Developer Circle

Panchu

17,772 просмотров • 2 месяцев назад

We are excited to announce the launch of QShield Terminal, the world's first Quantum-Secured Privacy Terminal for Ethereum. QShield brings full financial privacy to Ethereum without the need for mixers, tumblers, or any third-party tools. Everything is handled directly through the QShield interface using zero-knowledge proofs on RAILGUN Protocol. What QShield Terminal offers today: • Shield any ERC-20 token from your public wallet into a fully private balance • Send and receive tokens with zero on-chain trace • Create multiple independent shielded wallets • Transfer between your own shielded wallets with no connection between them on-chain • Switch between public wallets to fund your shielded balance from any wallet you own • Support for ETH, USDC, USDT, DAI, WBTC and 290+ ERC-20 tokens • Quantum entropy wallet generation using real quantum randomness • 100% web-based, no downloads, no browser extensions No mixer. No tumbler. No compromises. Just real privacy through cryptography, accessible to everyone directly from the browser. This is the first product of its kind. No other privacy solution combines multi-shielded wallets, inter-wallet transfers, quantum entropy, and a full guided interface in one place. You can try it now: We are working on additional features including private token swaps directly from your shielded balance, and we will keep expanding the protocol with new capabilities over the coming period. We keep building. RAILGUN - Private Ethereum DeFi

Qubit

26,087 просмотров • 4 месяцев назад

Finalist at my first ETHGlobal! 🧑‍🍳 One month ago, I spoke at Ethereum House about the future of crypto UX: if we want to bring the next billion people on-chain, onboarding has to feel effortless. This weekend, I had the chance to bring that vision to life. With aaron and Hrishabh Ayush, we built Primer, a seamless payment layer for Amazon. Of course, the largest e-commerce platform doesn’t accept crypto, so we hacked around it with gift cards and some reverse-engineering. USDC moves to a merchant wallet in the background, so checkout feels just like paying with a credit card. While we hid all that complexity, the path there was anything but straightforward. From pivots and power naps in bean bag chairs at 3 AM to sprinting five blocks back for finalist judging, the weekend was a blur of scrappy moments that made the end product all the more rewarding. As a result, we were honored to demo live on stage as a Top 10 Finalist (!!). Thank you to Kartik Talwar and the entire ETHGlobal team for hosting an amazing event. Thank you to Coinbase Developer Platform🛡️ for recognizing Primer as one of the best onchain apps using CDP! We ideated on Primer during the Ritual Foundation fellowship :) This is just the beginning. As we continue building out Primer, Aaron, Hrishabh, and I are envisioning a merchant API that brings stablecoin payments everywhere securely. This includes all wallets, chains, and even zkTLS for privacy - we want to work with everyone! If you share this passion, I’d love to chat! Demo video for ETHGlobal below👇

Cynthia Wang

39,413 просмотров • 11 месяцев назад

🚀New Amazon Q Developer agent for software development is available to customers: This agent is based on a new agent architecture that has exciting results coming from the SWE-bench scores (on the full and verified benchmarks) representing AI models’ ability to resolve real-world coding problems. Interesting aspect of Q Agent is that with these newest updates, Q drove nearly 50% more successful coding tasks completed. What makes Q Dev Agent remarkable? The agent architecture is not just about using the best LLMs (which we do), but also giving the agent the ability to constantly explore multiple paths to find the best way to resolve a particular problem (and back tracking when it has reached dead end like a developer would do). Needless to say, we are just getting started on the developer agent and we are constantly pushing to advance our AI capabilities while maintaining quality, security, privacy, and reliability to keep Amazon Q Developer an innovative and trusted option available to our customers using agents for software development. We highlighted the results of our first SWE-bench submission of Amazon Q Developer back in June blog post; with these updates, our new agent resolves 51% more coding tasks than its previous iteration on the SWE-bench verified dataset, and 43% more on the full dataset. That’s the difference a few months make, and I can’t wait to share what our teams will deliver at re:Invent this December. Here's a quick demo showcasing our new Agent in action:

Swami Sivasubramanian

28,946 просмотров • 1 год назад