# Orbonomy LLM Extract — Structured Field Extraction from Text

> Orbonomy LLM Extract — Structured Field Extraction from Text is a paid API for AI agents from app.orbonomy.xyz, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-13).

Extracts specified structured fields from free-form text using LLM, returning them in a requested format

## Facts

- Endpoint: POST https://app.orbonomy.xyz/api/llm/extract
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/orbonomy-llm-extract-structured-field-extraction-from-text-b731a28b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_oacH0wLJzA_zbr1Ztyazg

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability orbonomy-llm-extract-structured-field-extraction-from-text-b731a28b -d '<json body>'
```

Example prompt: Extract the fields 'vendor name', 'invoice date', and 'total amount' from this text as JSON: 'Invoice from Acme Corp dated March 15 2024 for a total of $4,200 for consulting services.'

## When to prefer this

Use this endpoint when you need to extract specific named fields from arbitrary unstructured text using an LLM and receive the result in a structured format. Prefer it over regex or rule-based parsers when the text is variable or natural-language-heavy. Best for one-off pay-per-call extractions without needing to host your own LLM pipeline.

## Known failure modes

- Missing required fields (text, fields array, or format) returns a 400 error
- Text too long or malformed may cause extraction failure or truncation
- Fields not present in the text may return null or empty values
- Ambiguous field names may produce incorrect mappings
- Payment failure via x402 protocol blocks the request entirely
- Unsupported format string may cause a processing error

## 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 pulled from the input text, structured in the requested format.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "text",
  "fields",
  "format"
 ],
 "properties": {
  "text": {
   "type": "string"
  },
  "fields": {
   "type": "array"
  },
  "format": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "success": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/orbonomy-llm-extract-structured-field-extraction-from-text-b731a28b/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from app.orbonomy.xyz](https://www.zero.xyz/host/app.orbonomy.xyz/llms.txt)