ForgeMesh GitHub Repository Signal Intelligence Scanner is a paid API for AI agents from anomaly.forgemesh.io, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-13).
Analyzes a GitHub repository for momentum signals, novelty, and activity anomalies using sequence scoring algorithms
Deep anomaly scan for a single GitHub repository — velocity, fork ratio, issue flood, overnight explosion signals
Returns a JSON object containing the repo identifier, a narrative story label (e.g. 'Strong Momentum'), a domain classification, quantitative metrics (stars, age in days, language, fork ratio, stars per day), a novelty rating (low/medium/high), an array of peak window signal tags (e.g. HOT_REPO, FORK_SURGE), and an integer sequence score.
POSThttps://anomaly.forgemesh.io/api/repo-scanUse this endpoint when you need quantified anomaly scoring and momentum signals for a specific GitHub repository, particularly to detect fork surges, star velocity anomalies, or emerging hot repos. Prefer this over manual GitHub API queries when you want a pre-computed sequence score and narrative classification in a single call, especially in automated pipelines that monitor open source project health.
| Field | Type | Description |
|---|---|---|
| repo | string | GitHub repo in owner/repo format, e.g. vercel/ai |
{
"type": "json",
"example": {
"repo": "vercel/ai",
"story": "Strong Momentum",
"domain": "creator",
"metrics": {
"stars": 12500,
"age_days": 365,
"language": "TypeScript",
"fork_ratio": 0.18,
"stars_per_day": 34.2
},
"novelty": "medium",
"peak_window": [
"HOT_REPO",
"FORK_SURGE"
],
"sequence_score": 44
}
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