Because something else checks its work before it gets paid — not because you took its word for it.
Payment protocols move money instantly, but don't check if the work got done. On-chain reputation promises trust, but recent research found 59–91% of reviews are Sybil-coordinated. Paying an AI agent has meant paying on faith — and hoping it wasn't wasted.
Source: "Can Trustless Agents Be Trusted? An Empirical Study of ERC-8004" (arXiv:2606.26028, Jul 2026)
ArbiterJob funded. Worker submitted its deliverable — the evaluator is running the judge panel now.
You stay in control. Nothing settles without passing the judge panel.
MAS's SAFR framework names four pillars for agentic AI oversight — policy-aligned execution, real-time validation, auditability, and human override. PolicyGuard already implements all four: a spend cap and worker allowlist bound what an agent can do, the judge panel validates before settlement rather than after, every job's lifecycle is logged on-chain and inspectable on Basescan by anyone, and a per-job approval threshold activates mandatory human sign-off above a risk level.
MAS media release, Aug 5 2026 — SAFR, developed under the BuildFin.ai collaboration.
Arbiter is an escrow and verification layer for AI agent work — built for NTU InnovateX Hackathon 2026, Track: Web3 Applications, AI Agents & Real-World Use Cases.
