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OSF Open Source Filings — AI/ML Model Search
x402
OSF Open Source Filings — AI/ML Model Search is a paid API for AI agents from api.osf-master-server.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Search Hugging Face Hub AI/ML models by name, author, organization, task, library, or license and return provenance-stamped matching records
Price / call$0.05
Success—
StatusUnknown
How this service works
OSF is a live marketplace of provenance stamped public domain government and scientific data, built for autonomous agents that pay per record over x402 micropayments on Base. A paid MCP server in the official MCP Registry, discoverable on the Coinbase CDP Bazaar.
Output
Returns a JSON object with a result status ('MATCHES_FOUND' or similar), a list of matching model records each containing the model title, author, task type, source (e.g. HUGGINGFACE), download count, and a record ID, plus a total match count. Records are provenance-stamped and sourced from the Hugging Face Hub.
Example use cases
Discover top models for a task
“Search for the best open-source models for 'text-to-speech' on Hugging Face — I want to see who published them and how many downloads they have.”
Find organization's published models
“Look up all AI models published by 'google' on Hugging Face through OSF so I can see what tasks they cover and pick the most downloaded one.”
Research model options before fine-tuning
“I'm building an image classification pipeline — can you find available 'image classification' models on Hugging Face so I can compare authors and download counts before choosing one to fine-tune?”
Technical details
Endpoint
GEThttps://api.osf-master-server.com/x402/models/search/%7Bquery%7DWhen to prefer
Choose this endpoint when you need to discover and compare AI/ML models indexed on Hugging Face Hub with provenance guarantees and structured metadata (author, task, downloads). Prefer it over direct Hugging Face API calls when you need verifiable, stamped records for audit trails or when operating in an agent pipeline that pays per record via x402 micropayments on Base.
Side effects
- No matches found for the query keyword — result may be empty or return zero match_count
- Vague or misspelled query terms returning irrelevant models
- Payment failure over x402 micropayment channel blocking the request
- Query string URL encoding issues with special characters
- Rate limiting or server unavailability returning 402 or 5xx errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "MATCHES_FOUND",
"matches": [
{
"task": "image-segmentation",
"title": "nvidia/segformer-b5-finetuned-cityscapes-1024-1024",
"author": "nvidia",
"source": "HUGGINGFACE",
"downloads": 128429,
"record_id": 12345
}
],
"match_count": 1
}
}Tags
x402
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