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JSON Schema Generator from Example JSON
x402
JSON Schema Generator from Example JSON is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-15).
Generates a JSON Schema (draft 2020-12) from an example JSON object, inferring types, properties, required fields, and formats like date, email, and URI.
Price / call$0.003
Success—
StatusUnknown
How this service works
Generate a JSON Schema (draft 2020-12) from an example JSON: types, properties, arrays, required fields and formats (date, date-time, email, uri). For API docs, tool definitions and output validation.
Output
Returns a JSON Schema (draft 2020-12) object with inferred types for all properties, a list of required fields, array item schemas, and format annotations (e.g. 'email', 'date', 'date-time', 'uri') where applicable. The schema is ready for use in API documentation, LLM tool definitions, or runtime output validation.
Example use cases
API documentation schema generation
“I have this example API response: {"userId": 42, "email": "jane@example.com", "createdAt": "2024-06-01T12:00:00Z", "roles": ["editor", "viewer"]} — can you generate a JSON Schema draft 2020-12 from it so I can add it to my API docs?”
LLM tool output validation schema
“I need a JSON Schema to validate the output of my AI tool — here's an example output it produces: {"summary": "Q2 revenue up 12%", "confidence": 0.87, "tags": ["finance", "revenue"]} — generate a schema with types and required fields from this.”
Form data schema for input validation
“Generate a JSON Schema from this example form submission payload: {"name": "Alice", "email": "alice@corp.com", "joinedOn": "2023-09-15", "website": "https://alice.dev"} — I need it to catch format errors like invalid emails and dates.”
Technical details
Endpoint
POSThttps://api.vextorium.com/v1/json-schema-generate?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to quickly generate a standards-compliant JSON Schema (draft 2020-12) from an existing example JSON payload — especially useful for API documentation, LLM tool/function definitions, or output validation pipelines where writing schemas by hand would be tedious. Prefer this over manual schema authoring or generic LLM prompting when you need format detection (email, date, URI) and a structured, machine-readable schema output.
Side effects
- Invalid or malformed input JSON may result in an error or incomplete schema
- Non-standard or deeply nested structures may not have all formats correctly inferred
- Missing required 'example' field in the body will cause a validation error
- Very large or complex JSON objects may produce incomplete schemas
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| example | — | Example JSON (object or text) |
Output
Schema · Response
{
"type": "json",
"example": {
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"id",
"email"
],
"properties": {
"id": {
"type": "integer"
},
"tags": {
"type": "array",
"items": {
"type": "string"
}
},
"email": {
"type": "string",
"format": "email"
},
"created": {
"type": "string",
"format": "date"
}
}
}
}
}Tags
x402
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