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Orbonomy LLM Extract
x402
Orbonomy LLM Extract is a paid API for AI agents from www.orbonomy.xyz, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-13).
Extracts structured fields from unstructured text using LLM-based parsing, returning results in a specified 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
A JSON object with a 'success' boolean and the extracted field values corresponding to the requested field names, structured in the specified output format
Example use cases
Example prompt
“Extract the fields 'company_name', 'invoice_date', and 'total_amount' from this text and return them as JSON: 'Invoice from Acme Corp dated March 15 2024 for a total of $4,250.00 including tax.'”
Technical details
Endpoint
POSThttps://www.orbonomy.xyz/api/llm/extractWhen to prefer
Choose this endpoint when you need to extract specific named fields from unstructured or semi-structured text using LLM intelligence, especially when the text doesn't conform to a predictable pattern and regex or rule-based parsing would be fragile. It is well-suited for invoices, articles, emails, or any free-form content where you need structured output without building your own NLP pipeline.
Side effects
- Missing required fields (text, fields, format) returns a 400 error
- Ambiguous or sparse text may result in null or empty extracted fields
- Unsupported format value may cause a parsing or validation error
- Payment failure via x402 protocol results in a 402 Payment Required response
- LLM timeout or overload may return a 503 or empty success:false response
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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