Contributor Attribution Engine

Contributor Attribution Engine analyzes git repositories to calculate fair payment splits based on contribution IMPACT, not lines of code — enabling automated onchain revenue distribution via Slice. IMPACT-WEIGHTED ATTRIBUTION (Venice AI): Architectural decisions > bug fixes > code formatting > documentation updates. Venice AI analyzes commit messages, file changes, and code structure to weight contributions by actual value, not volume. Private inference ensures repository code stays confidential. AUTOMATED PAYMENT SPLITS: Outputs Slice-compatible payment configurations — OSS maintainers can pipe analysis directly into onchain revenue distribution. Fair compensation becomes automatic, not political. VERIFIABLE CREDENTIALS (Merkle Trees): Each contributor gets cryptographic proof of their attribution percentage. Self Protocol integration for identity verification — prove you're the legitimate contributor without doxxing. PERFORMANCE OPTIMIZED: LRU cache with TTL for git analysis (repeat runs ~10x faster). Enterprise error handling (structured codes, correlation IDs). Input validation with path traversal protection. VERIFIED AGENT DEVELOPMENT: Built by Titan agent (ERC-8004 identity 0x9D65433B3FE597C15a46D2365F8F2c1701Eb9e4A), 17+ commits documenting autonomous development process. Full system architecture in ARCHITECTURE.md. WHY IT MATTERS: OSS funding is broken. GitHub stars don't pay rent. This creates the missing link: transparent, verifiable, automated compensation based on actual contribution value.