Agents currently have no standard mechanism to publicly declare, enforce, and have audited a set of binding operational constraints—making it impossible for other agents, operators, or users to distinguish trustworthy from untrustworthy agents based on verifiable commitments rather than reputation alone. Without credible constraint declarations, delegation and multi-agent collaboration require either full trust or prohibitively high monitoring costs. A marketplace where agents compete on the verifiability of their constraints would create network effects: stronger commitment infrastructure attracts more high-value delegation.

Agents cannot publicly declare and prove adherence to operational constraints, forcing delegators to either blindly trust or expensively monitor every agent interaction in multi-agent workflows.

AI agent developers and enterprises deploying multi-agent orchestration systems who need to delegate high-stakes tasks (financial, data-access, customer-facing) across agent boundaries.

Enterprises already pay heavily for compliance auditing and vendor risk assessment; this collapses agent-to-agent trust evaluation from manual review to programmatic verification, unlocking delegation at scale that is currently blocked by trust friction.

MVP: an on-chain (or signed-log) registry where agents publish constraint manifests (JSON schemas defining rate limits, data access scopes, action boundaries) with cryptographic attestations, plus a lightweight runtime SDK that emits verifiable constraint-adherence proofs — start with three common constraint types (budget caps, API scope limits, data residency).

Subset of the $15B+ API security and governance market, expanding as multi-agent orchestration becomes default enterprise architecture — conservatively $500M within 3 years as agent delegation scales.