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Agent-API Recommendation Attribution (Layer 2) — instrument the recommendation-decision moment

Build Layer 2 instrumentation — the API gateway agent attribution layer that captures which AI agents (Claude Code, Cursor, ChatGPT, Gemini, custom agents) recommend Product.ai or SimplyCodes APIs in their reasoning loops. MCP session headers, user-agent strings, request-pattern fingerprints. Three-layer instrumentation: developer-intent prompt battery + API-gateway agent attribution + code-generation trace. Output is a working attribution pipeline plus a public methodology paper that establishes Product.ai as the category convener.

STEP 1 — APPLY

Apply: Agent-API Recommendation Attribution (Layer 2) — instrument the recommendation-decision moment

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PDF, DOC, or DOCX · max 50MB

A piece of writing or analysis that shows how you think — process doc, system design, deep research. PDF, DOC, or DOCX · max 50MB.

FIT & LOGISTICS

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