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GPT Schema Extractor
x402
GPT Schema Extractor is a paid API for AI agents from gpt.558686.xyz, paid per call via x402, $0.5/call, status unknown (last checked 2026-10-01).
Extracts structured schema definitions from a given text prompt or document input using AI
Price / call$0.5
Success—
StatusUnknown
Output
Returns a structured schema object inferred from the provided text input, including field names, data types, and potentially required/optional flags or constraints detected from the input.
Example use cases
Schema inference from raw data sample
“I have this JSON blob: '{"product_id": 42, "name": "Widget", "price": 9.99, "in_stock": true}' — can you extract a proper schema from it showing all field names and their data types?”
Structuring API response documentation
“I have a raw API response description in plain English: 'the endpoint returns a user object with an id, a full name, a registration date, and a list of roles' — extract a typed schema I can use in my docs.”
Parsing form fields from description
“Here's a description of a sign-up form: 'users enter their first name, last name, email address, phone number, and choose a password with at least 8 characters' — extract a schema with field names, types, and any constraints mentioned.”
Technical details
Endpoint
GEThttps://gpt.558686.xyz/v1/extract/schema?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to automatically infer or extract a data schema from unstructured or semi-structured text, sample data, or natural language descriptions — especially in agentic workflows that need to dynamically model data without manual schema authoring.
Side effects
- Ambiguous or too-short input may return incomplete or generic schema
- Complex nested structures may be flattened or misrepresented
- Non-English input may produce inconsistent field naming
- Rate limiting or payment failure returns 402 status
- Malformed input object returns 400 validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| schema | — | Target JSON Schema object (or string). If omitted, the engine auto-detects a key-value schema. |
| content | string | Raw text/HTML/data to extract from (required) |
| instructions | string | Extra extraction instructions |
Tags
x402
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