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Developer builds AI agent to assess trustworthiness of onchain AI identities

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A developer has created an AI-powered system called AgentCredit to evaluate trust in ERC-8004 agents on the Monad testnet. The system analyzes raw feedback data from the identity registry, which currently provides aggregated scores that can be misleading. Built using Qwen 3.8 Max for a Monad hackathon, AgentCredit examines individual feedback entries to compute accurate trust scores. It can record its assessments onchain with verifiable evidence. The tool addresses reliability concerns in emerging decentralized AI agent ecosystems.

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Developer builds AI agent to assess trustworthiness of onchain AI identities · ShortSingh