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ForgeMesh Library — ML Shelf
x402
ForgeMesh Library — ML Shelf is a paid API for AI agents from library.forgemesh.io, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-16).
Returns a ranked list of up to 50 public-domain books in the Machine Learning / mathematical sciences subject area, with drill-down routes for full-text retrieval
Price / call$0.003
Success—
StatusUnknown
How this service works
Curated shelf: ML — 322 public-domain books including My Life — Volume 1, The Letters of Wolfgang Amadeus Mozart — Volume 01, Critical and Historical Essays Lectures delivered at Columbia University. Returns a ranked list with drill-down routes for full-text retrieval. No license, no API key required.
Output
A ranked list of public-domain book titles in the ML subject area (up to 50 entries), including metadata and drill-down routes that allow full-text retrieval of each book. No API key or license is required to access the results.
Example use cases
Research reading list for ML course
“Pull me a list of up to 30 public-domain machine learning books I can assign as supplementary reading for a university course — I want classic and historical texts.”
Source texts for LLM fine-tuning
“I need royalty-free machine learning books to use as training data — can you fetch up to 50 titles from the public-domain ML shelf so I can queue them up for download?”
Browsing ML autobiographies and essays
“I'm looking for any public-domain memoirs, essays, or collected letters related to mathematics or science — show me what's available in the ML shelf, maybe the first 20 results.”
Technical details
Endpoint
POSThttps://library.forgemesh.io/mlWhen to prefer
Choose this endpoint when you need a curated, ranked list of public-domain machine learning or mathematical science books without any licensing overhead. It is ideal for building reading lists, sourcing royalty-free training data, or exploring historical ML literature. Prefer the ForgeMesh full-text search endpoint if you need keyword or semantic search across the corpus rather than a browseable shelf.
Side effects
- limit parameter exceeds 50 — likely clamped or returns an error
- limit set to 0 or negative — may return empty list or validation error
- payment not processed correctly via x402 protocol — call blocked
- shelf temporarily unavailable — 5xx error returned
- no books indexed — empty list returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| limit | integer | Max books to return (default 20, max 50) |
Output
Schema · Response
{
"type": "json",
"example": {
"books": [
{
"year": null,
"title": "My Life — Volume 1",
"author": "Wagner, Richard",
"book_id": 5197,
"subjects": [],
"download_count": 68850
}
],
"count": 5,
"shelf": "ML",
"coverage": {
"target": 61015,
"indexed": 61015
},
"drill_down": [
"/book-metadata",
"/book-chapter",
"/book-quotes",
"/literature-search"
]
}
}Tags
x402
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