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Orbonomy LLM Extract
x402
Orbonomy LLM Extract is a paid API for AI agents from orbonomy.xyz, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).
Extracts structured fields from unstructured text using LLM-based parsing, returning specified fields in a chosen format
Price / call$0.1
Success—
StatusUnknown
How this service works
50+ pay-per-call API endpoints across accommodation, AI, content, fact-checking, and data services. Powered by x402 protocol.
Output
Returns a JSON object with a 'success' boolean and the extracted field values corresponding to the requested fields, structured in the specified output format.
Example use cases
Example prompt
“Extract the fields 'company_name', 'founding_year', and 'headquarters_city' from this text in JSON format: 'Acme Corp was founded in 1987 and is headquartered in Austin, Texas.'”
Technical details
Endpoint
POSThttps://orbonomy.xyz/api/llm/extractWhen to prefer
Use this endpoint when you need to extract specific named fields from unstructured or semi-structured text and want an LLM-powered approach rather than regex or rules-based parsing. Ideal for documents, articles, or free-form text where field locations vary.
Side effects
- Missing required fields (text, fields, or format) returns a 400 error
- Text too long or exceeds token limits may cause a 413 or truncation error
- Ambiguous or non-existent fields in the text may return null or empty values
- Invalid format specification may cause a parsing error
- Payment not processed via x402 results in a 402 Payment Required response
- LLM extraction may hallucinate values if text is ambiguous
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | |
| fieldsrequired | array | |
| formatrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| success | boolean |
Tags
x402
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