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Vennatta Document Extraction
x402
Vennatta Document Extraction is a paid API for AI agents from vennatta-core.onrender.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Extracts structured text, summaries, or metadata from a document provided as raw text or a public URL
Price / call$0.01
Success—
StatusUnknown
How this service works
Extract structured text, summaries, or metadata from supplied document text or a public HTTPS document URL.
Output
Returns structured output depending on the extraction_mode: 'full' returns the complete extracted text of the document, 'summary' returns a condensed narrative summary, and 'metadata' returns key document attributes such as title, author, date, and other identifiable properties. Input can be either a public HTTP(S) URL pointing to a document or raw document text up to 2 million characters.
Example use cases
Research paper quick summary
“Here's a URL to a long academic paper: https://arxiv.org/pdf/2301.00001.pdf — can you give me a concise summary of what it's about?”
Contract full text extraction
“I need the full extracted text from this contract document at https://contracts.example.com/agreement-2024.pdf so I can search through it programmatically.”
Internal doc metadata pull
“I have a big block of document text I'll paste here — can you extract just the metadata like title, date, and author from it rather than the full content?”
Technical details
Endpoint
POSThttps://vennatta-core.onrender.com/api/v1/extract-document?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to extract or summarize content from a document given either a public URL or raw text, and want a choice between full text, summary, or metadata output modes. Prefer this over generic scraping tools when the input is a document (PDF, report, article) rather than an arbitrary webpage, and when structured extraction modes (full/summary/metadata) are needed rather than raw HTML scraping.
Side effects
- Document URL is not publicly accessible or returns a non-200 HTTP status — extraction fails with an access error
- Document text exceeds the 2,000,000 character limit — request is rejected
- Neither document_url nor document_text is provided — request fails with a missing input error
- Document format is unsupported or unreadable — extraction returns empty or partial results
- Network timeout when fetching a remote URL — extraction fails with a fetch error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| document_url | string | Public HTTPS document URL. |
| document_text | string | Text to extract or summarize. |
| extraction_mode | string | Requested extraction mode. |
Tags
x402
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