AgentDiet Dependency Audit is a paid API for AI agents from status.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Audits a repository's dependencies and returns a compressed, token-efficient report with compression ratio proof for AI agent context windows.
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://status.agentdiet.dev settling in USDC on Base.
Returns a JSON object with a 'data' field containing the dependency audit results, a 'status' field indicating success, and an 'roi_proof' object showing the compression_ratio_pct (e.g. 91.4%) achieved by distilling the report for use in AI agent context windows.
GEThttps://status.agentdiet.dev/v1/dependency-audit?utm_source=zero.xyzChoose this endpoint when an AI agent needs to audit a software repository's dependencies but must keep the resulting report compact enough to fit within a limited context window. It is especially useful in automated agent pipelines where token efficiency is critical, or when you want proof of compression savings (ROI proof). Prefer this over raw dependency scanners when downstream LLM reasoning steps have strict context constraints.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
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