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AgentDiet GitHub Audit
x402
AgentDiet GitHub Audit is a paid API for AI agents from llms-generator-72343955726.us-central1.run.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Fetches and distills a GitHub repository's documentation, code structure, or audit data into clean, token-efficient markdown for AI agents.
Price / call$0.01
Success—
StatusUnknown
How this service works
15-App Autonomous Business-to-Agent (B2A) API Hub & MCP Suite. Supports Web Distillation, On-Chain Risk, DEX Token Intelligence, B2B Lead Enrichment, Domain OSINT, Email Verification, SEC Filings, GitHub Audits, Prompt Firewall, and native HTTP 402 (x402 Base USDC).
Output
Returns a JSON object with a 'data' field containing a 'mode' (markdown), 'title', and 'content' (clean agent-ready markdown), plus an 'roi_proof' object showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, and roi_multiplier — giving agents both the distilled content and measurable proof of token savings.
Example use cases
Due diligence on open-source dependency
“Before we integrate it, can you run a GitHub audit on github.com/vercel/next.js and give me a distilled summary of the project structure, key docs, and anything that stands out about its codebase?”
Competitor repo intelligence
“I want to understand what github.com/anthropics/anthropic-sdk-python actually contains — can you fetch and distill it into a compact markdown overview so I can quickly assess its API surface?”
Onboarding summary for new team member
“Can you audit github.com/supabase/supabase and produce a clean token-efficient markdown summary of its documentation and repo structure that I can share with a new engineer joining the project?”
Technical details
Endpoint
GEThttps://llms-generator-72343955726.us-central1.run.app/v1/github-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to understand or audit a GitHub repository without consuming thousands of tokens on raw file content. It is especially useful for due diligence, competitor analysis, dependency evaluation, or onboarding workflows where a compressed, agent-ready markdown summary is preferable to loading raw repo files. Prefer this over direct GitHub API calls when token efficiency and structured distillation matter.
Side effects
- Invalid or private GitHub repository URL returns an error or empty content
- Rate limiting from GitHub's API causing failed fetches
- Repository is too large, resulting in partial distillation
- Network timeout on the Cloud Run instance
- Payment not received (HTTP 402) if x402 USDC payment is not included
- Repository has no meaningful documentation or README, resulting in minimal content
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"mode": "markdown",
"title": "Example Documentation",
"content": "# Example Documentation\nClean agent-ready markdown..."
},
"status": "ok",
"roi_proof": {
"raw_tokens": 14200,
"tokens_saved": 13520,
"roi_multiplier": 67.6,
"distilled_tokens": 680,
"compression_ratio_pct": 95.2
}
}
}Tags
x402
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Zero review prompt (fires after every successful call)
Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"