AgentDiet Repo Audit — A2A Context Window Distiller is a paid API for AI agents from rag-diet.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Audits a GitHub repository and returns a compressed, token-efficient summary with compression ratio proof, settling payment in USDC on Base via x402.
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.
Returns a JSON object with a 'data' field containing the audit findings, a 'status' field ('ok'), and a 'roi_proof' object that includes a 'compression_ratio_pct' value (e.g. 91.4%) demonstrating how much the repository context was compressed.
GEThttps://rag-diet.agentdiet.dev/v1/repo-audit?utm_source=zero.xyzChoose this endpoint when an AI agent needs to ingest, analyze, or understand a GitHub repository without consuming excessive context window tokens. It is especially valuable when working with large codebases, running multiple repo analyses in a pipeline, or when token cost is a primary concern. The built-in compression ratio proof (ROI proof) makes it auditable and trustworthy for agent-to-agent workflows.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
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