Identity and Reputation for AI Agents — Quigley on Helixa

Helixa builds on ERC-8004 to give on-chain agents and humans verifiable identities and a 13-factor CRED score, prioritizing human oversight and decentralized reputation.

Key Takeaways

Helixa is an ERC-8004 identity and credibility stack that recreates in-person trust signals; CRED score uses 13 factors to evaluate agent authenticity and reliability.
Most agents currently score poorly; credibility improves with complete profiles, wallet attestations, protocol reputation (Talent, Ethos, OX Work), longevity and task completion.
Scoring must be decentralized and co-developed with partners to ensure accuracy, transparency, and resistance to manipulation; scores can be slashed for failed commitments.
Humans remain central: register people on the platform, use experts to finish stalled AI projects, and collect LinkedIn-like feedback and vouches in workflows.
Developers must audit AI outputs—use AI for MVPs then hire engineers to validate, polish, and avoid building products without market validation or human customers.
Token utility is being added: token supply partly funded by fees (~6%); roadmap ties utility to platform. Also exploring Verity-style authenticity tools and virtuals ecosystem coverage.

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