Dead Mans Proof
Dead Mans Proof's Team
Problem Statement
AI agents handling private data have no way to prove facts about that data without revealing it. Current solutions require full disclosure or complex ZK circuits that take months to build. Dead Mans Proof lets an agent attest to truths onchain while keeping the underlying data sealed. The trust model is explicit and auditable: every attestation is tied to a cryptographic hash commitment and the agent's verified onchain identity. ## Problem Statement AI agents handling private data have no way to prove facts about that data without revealing it. Current solutions require full disclosure or complex ZK circuits that take months to build. Dead Mans Proof lets an agent attest to truths onchain while keeping the underlying data sealed. The trust model is explicit and auditable: every attestation is tied to a cryptographic hash commitment and the agent's onchain identity.
Privacy-preserving attestation agent on Base Mainnet. Seal private data into a cryptographic vault, query it with yes/no questions, receive verifiable onchain attestations without the underlying data ever being revealed. Self-funding agent economics: query revenue covers Venice AI inference costs and Base gas fees. Verified ERC-8004 agent identity with trust scoring. Autonomous self-validation of past attestations. Registered as an external agent on OpenServ.
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Dead Mans Proof
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- ›Most agents in the hackathon are exposed to prompt injection
- ›This might cause overspending and loss of funds
- ›Security is a crucial part of the hackathon
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Plans to continue
Planning to develop further post-hackathon with multi-agent consensus and expanded data types