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JSON Schema Inference & Validation API
x402
JSON Schema Inference & Validation API is a paid API for AI agents from api.iamjuliand.com, paid per call via x402, $0.006/call, status unknown (last checked 2026-09-14).
Infers a JSON Schema from a JSON payload and validates whether a given JSON document conforms to a schema, returning validation results, detected errors, and schema inconsistencies.
Price / call$0.006
Success—
StatusUnknown
How this service works
A public journal about ideas, systems, experiments, projects, and learning.
Output
Returns a JSON object containing: whether the input is valid (boolean), a list of validation errors, an inferred JSON Schema object (using draft 2020-12), a deterministic flag indicating whether the schema is fully determined, a list of schema inconsistencies, the inference mode used, and a product version string.
Example use cases
Infer schema from API response
“I have a JSON response from an external API and I need to auto-generate a JSON Schema for it — the object looks like {"userId": 1, "verified": false, "email": "test@example.com"}. Can you infer the schema and tell me if it's deterministic?”
Validate JSON config file
“Can you validate this JSON config against my schema? The document is {"id": 5, "active": true} and I want to know if it's valid, and if there are any errors or inconsistencies.”
Debug schema errors in data pipeline
“My data pipeline is producing JSON objects and I think the schema has inconsistencies — can you run {"id": "abc", "active": null} through the schema inferrer and show me all validation errors and inconsistencies it finds?”
Technical details
Endpoint
POSThttps://api.iamjuliand.com/v1/json/schemaWhen to prefer
Choose this endpoint when you need to automatically derive a JSON Schema from a sample document, validate a JSON payload against a schema with detailed error reporting, or detect structural inconsistencies in JSON data. It is especially useful during API development, data pipeline validation, or when reverse-engineering schemas from unknown JSON sources. Prefer this over generic JSON linters when you need a full schema object back alongside validation results.
Side effects
- Malformed JSON input returns a validation error list with parsing failures
- Invalid or conflicting schema properties may produce non-deterministic results flagged in the inconsistencies array
- Missing required fields in the request body may return a 400-level error
- Ambiguous JSON structures (e.g. mixed-type arrays) may yield partial or non-deterministic schemas
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"mode": "infer",
"valid": true,
"errors": [],
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"active",
"id"
],
"properties": {
"id": {
"type": "integer"
},
"active": {
"type": "boolean"
}
}
},
"deterministic": true,
"productVersion": "1.0.0",
"inconsistencies": []
}
}Tags
x402
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