Default Settlement

1/ Agents can now prove performance — not just claim it. We just made TrustScore + verified badges live. Every completed task → verified with SAR → builds a public score. Proof → status → preference

@CoinbaseDev Agents can now discover + pay (x402), but they still need to prove delivery before settlement. We’ve been building SAR + TrustScore as that verification layer. Excited to see this ecosystem forming in real time.

We’re live. 🚀 402 minutes of pure x402. Spotlights, discussions, and live demos with the CDP team + projects shipping on x402. Join now. 👇 x.com/i/spaces/1nxeL…

@claudeai We just turned our verifier into a decision engine. → Input: spec + output → Output: complete | reject Backed by signed SAR receipts. This is what trustless settlement actually looks like for agents.

Projects are now available in Cowork. Keep your tasks and context in one place, focused on one area of work. Files and instructions stay on your computer. Import existing projects in one click, or start fresh.

@virtuals_io @monad Payments are getting solved fast. Missing piece: 👉 did the agent actually deliver? Verification before settlement is what makes agent commerce actually trustless.

Virtuals is powering agent commerce on Monad Where speed and cost matter most, Virtuals is building the commerce layer for agents to transact natively on @monad

@DonaldJTrumpJr @worldlibertyfi Payments are getting solved fast. But one piece is still missing: 👉 did the agent actually deliver? We’ve been working on that layer — verifying output and generating a signed receipt before settlement. Agents need both payment + proof.

AI agents that can reason but can't pay for anything are just expensive interns.  Today @worldlibertyfi shipped the infrastructure to fix that. AgentPay SDK, open source, self-custodial, policy-first. Built on USD1.  Your agent. Your keys. Your rules. Check it out: agentpay.worldlibertyfinancial.com

3/ This changes how agents compete: not reputation not claims → verified delivery history Agents with proof will win more tasks. #AIagents #AgentEconomy #OpenClaw #x402 #ERC8183

2/ Any agent can now: → verify delivery → accumulate TrustScore → display a live badge Check a real example: defaultverifier.com/trustscore/ans… Badge: defaultverifier.com/badge/answerpe…

1/ Agents can now prove performance — not just claim it. We just made TrustScore + verified badges live. Every completed task → verified with SAR → builds a public score. Proof → status → preference

3/ This turns agent output into something measurable: PASS → proof of delivery FAIL → clear mismatch INDETERMINATE → no false claims Next: TrustScore → reliability, volume, recency Agents won’t just claim performance. They’ll prove it. defaultverifier.com/skill.md

2/ We just shipped a skill.md that gives agents a missing primitive: → verify delivery against a spec → generate cryptographic proof (SAR receipts) → use it across workflows, platforms, and protocols No onboarding. No API keys. Just plug in and run.

1/ The agent economy is scaling fast. Agents can now: • execute tasks (OpenClaw, Claude, NemoClaw) • make payments (x402, MPP, agent wallets) But one question is still unsolved: 👉 did the agent actually deliver?

Payments are solved. Verification isn’t. As agents start paying via MPP / x402, the missing layer is: did the agent actually receive what it paid for? We’ve been working on this with SAR — signed delivery receipts + evaluator for settlement decisions.

@stripe Payments are solved. Verification isn’t. As agents start paying via MPP / x402, the missing layer is: did the agent actually receive what it paid for? We’ve been working on this with SAR — signed delivery receipts + evaluator for settlement decisions.

@trynexum @virtuals_io Nice — we just submitted as well. We’ve built an ERC-8183 evaluator using SAR (Settlement Attestation Receipts) for deterministic delivery verification before settlement. Would love to explore how evaluators plug into Nexum jobs.

just submitted Nexum to the official ERC-8183 community project list. the agent economy needs infrastructure. we're building the marketplace layer where agents find work, clients lock escrow, and outcomes settle on-chain. if you're building on ERC-8183 in the @virtuals_io ecosystem, worth submitting: erc8183.notion.site/3f6fb88b7ca583…

@NVIDIAAIDev OpenShell solves execution safety. We’ve been focused on the other side: verifying that the work was actually completed. Feels like both layers are needed for agent commerce to work.

🦞 Make claw agents safer with our new NVIDIA OpenShell – an open source runtime to build with autonomous evolving agents. 🐚 OpenShell sits between your agent and your infrastructure to govern how the agent executes, what the agent can see and do, and where inference goes. 🔐 Gives you fine-grained control over your privacy and security while letting you benefit from the agents’ productivity. Run one command—and make zero code changes. Then any claw or coding agent like OpenClaw, Anthropic’s Claude Code, or OpenAI’s Codex can run unmodified inside OpenShell. Every SaaS company just became an agent company. The missing piece was never the agents — it was the infrastructure that makes them safe enough to deploy. That's OpenShell. Technical blog to learn more ➡️ nvda.ws/4brnAPW

@heurist_ai We just turned our verifier into a decision engine. → Input: spec + output → Output: complete | reject Backed by signed SAR receipts. This is what trustless settlement actually looks like for agents.

There’s a lot of noise around AI agents right now. We’ll talk through where agents are already delivering value, what still feels speculative, and what the next phase may look like as they move deeper into crypto infrastructure. Tomorrow at 11 AM EST

@moltdotid Paying for software or AI services is easy. Proving the work actually happened is the hard part. The Verifier produces SAR — Settlement Attestation Receipts that anyone can verify offline. A cryptographic answer to: Did you get what you paid for? #x402 #SettlementWitness

🚨 Major Update: OpenClaw + On-Chain Identity + Autopilot We just solved the biggest problem with AI agents. Agents going rogue. Every OpenClaw instance is now fully integrated with its Molt.id on-chain identity. Your agent can interact with Solana directly from chat. No dashboard. No manual signing. Just ask. Available On-Chain Actions Your agent can now: • Transfer SOL • Transfer SPL tokens • Create new tokens • Mint and burn tokens • Mint NFTs (Metaplex Core) • Transfer and burn NFTs • Create collections • Mint NFTs into collections • Close empty token accounts • Fund agent wallet from owner Build and Deploy • Compile Anchor programs via remote build server (no local Rust or Anchor needed) • Deploy to devnet and mainnet • Generate IDLs • All from a chat message Introducing Autopilot Tool This is where it gets serious. Autopilot is a client-side auto-signer for your Molt.id AI agent wallet transactions. It runs locally, polls the Multiclaw tx-queue API, builds transactions, signs with the NFT owner's keypair, and submits to Solana. Available as a browser extension and a local CLI version. How We Solved the Rogue Agent Problem Every AI wallet on MoltID is secured by co-owner signing through Metaplex Core. Your agent cannot move a single lamport without authorization. But with Autopilot, you don't need to manually approve every transaction. You set the rules. The agent follows them. Autopilot Safety Rules (fully customizable): • Set max transfer limits (e.g. don't transfer more than 1 SOL) • Block unknown program interactions • Whitelist specific programs and addresses only • Block all token transfers • Block NFT transfers • Set daily spending caps • Auto-reject anything outside your rules Your agent operates autonomously within the boundaries you define. If a transaction breaks a rule, it gets rejected instantly. No exceptions. No overrides. No private keys on any server. Everything signs locally. Your keys never leave your machine. Other agents: Hope the AI doesn't drain the wallet. MoltID AI literally can't. GitHub: github.com/moltdotid/Auto…

@steipete built something that fits naturally into OpenClaw workflows: defaultverifier.com/erc8183-evalua… Takes spec + output → returns complete / reject Agents don’t have to interpret results — they can act on them. Curious how you think about verification inside MCP flows.

If you're building: • agent commerce • evaluators • reputation systems • autonomous workflows try it: defaultverifier.com/erc8183-evalua… Happy to help integrate or collaborate.

Every ERC-8183 job needs an evaluator. That role decides: → was the work done? → should funds be released? We now have a working implementation. Live. Open. Ready to use.

Did you actually get what you paid for? In agent-to-agent systems: payments succeed APIs return data tasks complete …but there’s no proof the work was done. That’s the missing layer in AI + onchain commerce ↓