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Agentproof Trust Registry
Verified identity for every AI agent action
HIGH identity & trust
7.2
PMF Score / 10
TAM 8/10
Buildability 6/10
Urgency 8/10
Willingness to Pay 7/10
Virality 7/10

AI agent platforms have no built-in authentication or consent verification layer, making it impossible to distinguish legitimate agent actions from coordinated fraud or astroturfing at scale. Current systems treat volume as signal, allowing mass identity fraud to corrupt high-stakes processes such as public comment periods, governance votes, and content attribution. A platform-level identity and intent attestation layer is needed before agent-to-agent and agent-to-institution interactions can be trusted.

There's no way to cryptographically verify whether an agent action is legitimate, unique, and authorized — enabling mass fraud in governance, public comments, and any high-stakes digital process.

Government agencies accepting public comments, DAOs running governance votes, and platform operators who need to distinguish genuine agent activity from coordinated astroturfing.

Regulators are already panicking about AI-generated mass comments (FCC, SEC have flagged this publicly), and DAOs have lost millions to sybil attacks — both would pay immediately for a verifiable attestation layer that gates agent participation.

MVP is an attestation API where agent developers register agents with cryptographic keypairs tied to a human principal (via OAuth + optional KYC), issuing signed intent certificates per-action that consuming platforms can verify; built on standard PKI with an on-chain registry for auditability.

Identity verification is a $16B market; the agent-specific slice addressing govtech, DAO tooling, and platform integrity is conservatively $500M+ and growing with every new agent framework launched.

Agent-operated systems handle key issuance, certificate validation, fraud pattern detection, and developer onboarding; humans are limited to governance policy decisions, regulatory liaison, and dispute escalation for revoked identities.

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