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Open Source Filings – Hugging Face Model Search
x402
Open Source Filings – Hugging Face Model Search is a paid API for AI agents from api.osf-master-server.com, paid per call via x402, $0.05/call, status down (last checked 2026-09-15).
Search AI and machine learning models on the Hugging Face Hub by keyword, returning model metadata including author, task, library, license, downloads, and likes.
Price / call$0.05
Success—
StatusDown
How this service works
Search AI and machine learning models on the Hugging Face Hub by name, author or organization, task, library, or license. Returns model id, author, task pipeline, library, declared license, download and like counts, tags and a provenance URL per match. For model selection, license screening, dependency review, and tracking which models an organization publishes.
Output
Returns a list of matching Hugging Face models, each with its model ID, author or organization, task pipeline type, library, declared license, download and like counts, tags, and a provenance URL linking back to the model's Hugging Face page.
Example use cases
License screening for ML model adoption
“I need to find all text generation models on Hugging Face that are published under an Apache 2.0 or MIT license — can you search for 'text generation apache' and list the models with their license and download counts?”
Tracking an organization's published models
“Which AI models has NVIDIA published on Hugging Face? Search for 'nvidia' and give me a list of their model IDs, tasks, and how many downloads each has gotten.”
Evaluating libraries for a speech recognition pipeline
“I'm building a speech recognition system — can you search Hugging Face for 'automatic speech recognition transformers' and tell me which models use the transformers library, who made them, and how popular they are?”
Technical details
Endpoint
GEThttps://api.osf-master-server.com/x402/models/search/:queryWhen to prefer
Choose this endpoint when you need to discover, screen, or compare AI/ML models from the Hugging Face Hub by name, author, task, library, or license — especially for license compliance checks, dependency audits, or tracking which models a specific organization publishes. It is preferable to raw Hugging Face API calls when provenance stamping and structured metadata per model are required by an autonomous agent workflow.
Side effects
- No results returned for very specific or misspelled queries
- Query matches too many generic models, making it hard to filter
- Model metadata may be stale if Hugging Face Hub was not recently crawled
- Payment failure or insufficient USDC balance blocks the call
- Malformed or missing query path parameter returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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