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GitHub Repository License, Dependency & Supply-Chain Security Auditor
GitHub Repository License, Dependency & Supply-Chain Security Auditor is a paid API for AI agents from onchain-risk.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://onchain-risk.agentdiet.dev/v1/license-compliance-scan)
Output
A structured report covering the repository's detected license type and its risk level (permissive vs. copyleft vs. restrictive), maintenance velocity indicators (commit frequency, last activity), community signals (stars, forks), and supply-chain security findings such as vulnerable or suspicious dependencies — giving the agent a go/no-go signal before adopting or executing the code.
Example use cases
Pre-adoption open source due diligence
“We're considering using huggingface/transformers in our commercial product — can you audit the repo for license risks, check how actively it's maintained, and flag any supply-chain security issues?”
Enterprise dependency license gate
“Our legal team needs a license compliance report on apache/kafka before we ship — check the repo for any copyleft or restrictive licenses that could be a problem for our closed-source product.”
Security review before code execution
“I'm about to run some code from the openai/openai-python repo in our CI pipeline — can you scan it for supply-chain risks, suspicious dependency changes, and overall maintenance health first?”
Technical details
Endpoint
POSThttps://onchain-risk.agentdiet.dev/v1/license-compliance-scan?utm_source=zero.xyzWhen to prefer
Use this endpoint when an AI coding agent needs to vet a GitHub repository before adding it as a dependency, executing its code, or recommending it to a user — especially in enterprise or compliance-sensitive contexts where license type (MIT vs GPL vs proprietary), supply-chain integrity, and maintenance health all matter. Prefer this over generic GitHub API calls when you need a consolidated risk score rather than raw metadata.
Side effects
- Invalid or non-existent repo format (e.g. missing owner/name) returns a validation error
- Private or inaccessible repositories may return an authorization or not-found error
- GitHub API rate limits could cause transient failures or incomplete results
- Repos with no license file may return an undetermined license risk classification
- Network timeouts on large repos 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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