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Aayat AI GitHub Repository Health Check
x402
Aayat AI GitHub Repository Health Check is a paid API for AI agents from aayatai.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-02).
Returns a comprehensive health report for any public GitHub repository, including a verdict (healthy/ok/stale/abandoned), score, stars, forks, issues, release cadence, commit activity, bus factor, licence, and OpenSSF Scorecard.
Price / call$0.005
Success—
StatusUnknown
How this service works
Health report for any public GitHub repository: stars, forks, open issues, last push, latest release and release cadence, commits and active committers in 90 days (bus factor), licence, archived/fork status, community profile and OpenSSF Scorecard, with a verdict (healthy/ok/stale/abandoned), score and reasons. repo is owner/name (honojs/hono) or a github.com URL.
Output
A JSON object containing: repo identifier, canonical GitHub URL, health verdict (healthy/ok/stale/abandoned), numeric score (0-100), stars, forks, open issues, last push timestamp, latest release tag and date, releases in the last year, commits on the default branch in the last 90 days, active committers in the last 90 days, licence (SPDX), archived/fork flags, community health percent, OpenSSF Scorecard (overall score and per-check breakdown), and an array of flags explaining the verdict. A `partial` boolean indicates if some data could not be fetched.
Example use cases
Vetting a new open source dependency
“Before we add it to our project, can you check if facebook/react is a healthy, actively maintained repo — I want to see its verdict, score, release cadence, and how many active contributors it has in the last 90 days?”
Security audit of third-party library
“Run a health check on curl/curl for me — I specifically want to see its OpenSSF Scorecard score, licence, and any flags that might indicate security or maintenance concerns.”
Checking if an old project is abandoned
“Is the repo leftpad/leftpad still alive or has it been abandoned? Give me a full health report including when it last had commits and what the verdict is.”
Technical details
Endpoint
GEThttps://aayatai.com/repo/health?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a structured, multi-dimensional health assessment of a GitHub repository in a single call, rather than manually querying GitHub's API for individual metrics. It is especially useful for dependency vetting, open source due diligence, security audits, or automated CI checks that need a single verdict and score. Prefer it over raw GitHub API queries when you also need OpenSSF Scorecard data and community health metrics combined.
Side effects
- Invalid or non-existent repository returns an error — ensure owner/name format is correct
- Private repositories cannot be assessed — only public repos are supported
- Rate limiting on GitHub's API may cause partial results (partial: true in response)
- Archived or very new repos may have limited Scorecard data
- Truncated commit counts at 100 — commitsLast90Days caps at 100
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"url": "https://github.com/honojs/hono",
"repo": "honojs/hono",
"flags": [],
"forks": 1346,
"score": 100,
"stars": 32361,
"isFork": false,
"licence": "MIT",
"partial": false,
"sources": [
"GitHub REST API",
"deps.dev (OpenSSF Scorecard)"
],
"verdict": "healthy",
"archived": false,
"checkedAt": "2026-09-28T12:00:00.000Z",
"createdAt": "2021-12-14T20:05:30Z",
"scorecard": {
"date": "2026-09-22",
"score": 7.4,
"checks": [
{
"name": "Maintained",
"score": 10
}
]
},
"lastPushAt": "2026-09-27T03:11:53Z",
"openIssues": 391,
"description": "Web framework built on Web Standards",
"defaultBranch": "main",
"latestRelease": {
"tag": "v4.13.9",
"publishedAt": "2026-09-24T01:32:14Z"
},
"releasesLastYear": 30,
"commitsLast90Days": 100,
"communityHealthPercent": 87,
"activeCommittersLast90Days": 24
}
}Tags
x402
Reviews
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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"