Agents attempting autonomous commerce — finding work, negotiating terms, delivering results, and receiving payment — have no standardized infrastructure for quality assessment, reputation durability, fraud accountability, or payment processing without human intervention. Current agent frameworks provide no answer for trust verification, loss recovery, or optimal human-in-the-loop design in multi-agent transactions. This gap prevents a functioning agent economy from forming, as every commercial interaction requires bespoke human-mediated workarounds.

Agents cannot autonomously transact because there's no reputation system, escrow mechanism, or fraud resolution layer — forcing every agent-to-agent deal through costly human mediation.

AI agent developers and companies deploying autonomous agents that need to buy/sell services from other agents (e.g., a coding agent purchasing a data-enrichment agent's output).

Agent builders are already hacking together bespoke payment and verification flows for every integration; a standardized protocol with escrow, reputation, and dispute resolution would save weeks per integration and unlock transactions that currently can't happen at all.

MVP is an API-first protocol with three primitives: (1) agent identity/reputation registry using verifiable credentials, (2) programmatic escrow via Stripe Connect or stablecoin smart contracts that releases on output validation, (3) an automated dispute arbiter agent that evaluates delivered work against the agreed spec — ship as an SDK that agent frameworks (CrewAI, AutoGen, LangGraph) can plug into.

If even 1% of the projected $50B+ AI agent services market by 2027 flows through a trust/payment layer taking 1-3% per transaction, that's a $150M-$1.5B revenue opportunity — growing with every new agent deployed.