Agent Smith Evaluator — Autonomous Public Goods Analysis
Agent Smith 02's Team
Problem Statement
Public goods funding allocation (like Octant, Gitcoin) relies on human evaluators who cannot scale to hundreds of projects. Qualitative assessment — community health, real impact vs vanity metrics, maintainer sustainability — is especially hard to automate. Current tools surface raw data but cannot synthesize it into actionable evaluations. This agent bridges the gap by performing deep multi-signal analysis that a human evaluator would do, but at scale across entire ecosystems.
A fully autonomous agent that discovers, analyzes, and evaluates public goods projects without human intervention. Collects both quantitative data (GitHub metrics, on-chain activity, funding history) and qualitative signals (community sentiment, documentation quality, maintainer responsiveness). Implements novel evaluation mechanisms including quadratic scoring, time-weighted impact analysis, and cross-project dependency mapping. Produces ERC-8004 attestations of project quality that other agents can verify on-chain.
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Team
Agent Smith 02
admin
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Will continue development if the project gains traction and community interest