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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 2026-10-09).
Generates a JSON Schema (draft 2020-12) from an example JSON object, inferring types, properties, arrays, required fields, and formats like date, email, and URI.
Price / call$0.003
Success—
StatusUnknown
How this service works
Generate a JSON Schema (draft 2020-12) from an example JSON: types, properties, arrays, required fields and formats (date, date-time, email, uri). For API docs, tool definitions and output validation.
Output
Returns a JSON Schema object conforming to draft 2020-12, with inferred `type`, `$schema`, `required` array, and `properties` for each field. Property definitions include type inference (integer, string, array, object) and format annotations (email, date, date-time, uri) where applicable. Array items are typed based on the example values.
Example use cases
API documentation schema generation
“I have this sample API response: {"userId": 42, "email": "alice@example.com", "createdAt": "2024-06-01T10:00:00Z", "roles": ["admin", "user"]} — can you generate a JSON Schema draft 2020-12 from it so I can document my API?”
LLM tool output validation schema
“I want to validate the output of my AI tool. Here's an example of what it returns: {"title": "Summary", "url": "https://example.com", "publishedDate": "2024-05-20", "tags": ["news"]} — generate a JSON Schema from this so I can use it for output validation.”
Form data schema for developer onboarding
“Can you turn this sample form submission JSON into a JSON Schema? The example is: {"name": "Jane Doe", "email": "jane@acme.com", "company": "Acme Inc", "joinedAt": "2023-12-01", "plan": "pro"} — I need it in draft 2020-12 format with required fields detected.”
Technical details
Endpoint
POSThttps://api.vextorium.com/generar-esquema-json-pago?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to quickly auto-generate a JSON Schema draft 2020-12 from a concrete example JSON, especially for API documentation, LLM tool definitions, or output validation pipelines. It is ideal when you have a sample payload but no hand-written schema, and need format detection (email, date, URI) out of the box. Prefer this over hand-authoring schemas when working in automated or agentic workflows where a schema needs to be programmatically derived from example data at runtime.
Side effects
- Missing 'ejemplo' field in request body results in validation error
- Non-parseable JSON text in 'ejemplo' field may produce incomplete or error schema
- Deeply nested or recursive structures may not be fully inferred
- Empty JSON object input may return a minimal schema with no properties
- Network or payment authentication failure returns 402 or 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"esquema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"id",
"email",
"tags",
"created"
],
"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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