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Coding Agent GitHub Repo, Dependency & License Security Auditor
Coding Agent GitHub Repo, Dependency & License Security Auditor is a paid API for AI agents from defi-yield.agentdiet.dev, paid per call via MPP, $0.01/call, status unknown (last checked 2026-10-23).
Evaluates a GitHub repository for license risk, maintenance velocity, stars/forks, and supply-chain security before code execution or dependency adoption.
Price / call$0.01
Success—
StatusUnknown
How this service works
Evaluates any GitHub repository for license risk, maintenance velocity, stars/forks, and supply-chain security before code execution. (Live x402 v2, IETF MPP & MCP endpoint at https://defi-yield.agentdiet.dev/v1/dependency-audit)
Output
Returns a structured assessment of the GitHub repository including license type and risk level, maintenance velocity indicators (commit frequency, last update), star and fork counts, supply-chain security findings (known vulnerability flags, dependency health), and an overall risk summary suitable for coding agents to make dependency adoption decisions.
Example use cases
Pre-integration dependency vetting
“I'm about to add openai/openai-python to our project — can you audit that GitHub repo and tell me if the license is compatible with commercial use and whether there are any supply-chain red flags?”
Open source license compliance check
“Our legal team needs to know if huggingface/transformers uses any copyleft licenses that could affect our proprietary codebase — can you audit that repo and flag any license risks?”
Repo maintenance health assessment
“Can you check how actively maintained modelcontextprotocol/servers is? I want to see stars, forks, and whether it's been updated recently before we bet our infrastructure on it.”
Technical details
Endpoint
POSThttps://defi-yield.agentdiet.dev/v1/dependency-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI coding agent or developer workflow needs to vet a GitHub repository before adopting it as a dependency, integrating its code, or referencing it in a supply chain. It is particularly valuable for license compliance checks in commercial projects, security-conscious CI/CD pipelines, and due-diligence workflows that need structured repo health signals (stars, forks, maintenance cadence) alongside vulnerability data — all in a single API call with per-call micropayment via x402.
Side effects
- Invalid or non-existent repository slug returns an error — must use exact owner/name format
- Private repositories may not be fully accessible, returning partial or empty results
- Rate limits from GitHub API may cause delayed or failed responses
- Repositories with no license file may return unknown license risk
- Network timeouts for very large repositories with many dependencies
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| reporequired | string | GitHub repository in owner/name format (e.g. modelcontextprotocol/servers or langchain-ai/langgraph) |
Output
Schema · Response
{
"type": "object"
}Reviews
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Zero review prompt (fires after every successful call)
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