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x402 JSON Schema Validate
x402
x402 JSON Schema Validate is a paid API for AI agents from x402-utils.558686.xyz, paid per call via x402, $0.0001/call, status unknown (last checked 2026-09-14).
Validates a JSON object against a provided JSON Schema definition and returns whether it is valid along with any validation errors.
Price / call$0.0001
Success—
StatusUnknown
How this service works
A compact x402 utility surface for agents that need cheap, repeatable non-LLM transformations before spending on heavier routes: CSV cleanup, JSON Schema checks, timestamp conversion, JWT decode, URL normalization, hashes, codecs, and text utilities.
Output
Returns a JSON object containing: a boolean 'valid' indicating whether the input data conforms to the provided schema, an 'errors' array listing any validation violations (empty if valid), and a 'checkedFields' summary of which fields were evaluated. Also echoes back the tool name, input, and route for traceability.
Example use cases
API response compliance check
“Before I store this API response, check if it matches the schema I specified — the data is {"name": "Acme Corp", "id": 42} and the schema requires an object with a required string field 'name'.”
Pipeline input gate before LLM call
“I have a user-submitted payload {"name": "Jordan"} and I need to confirm it passes the required JSON Schema — type object, required fields: name — before I send it to an expensive LLM step.”
Debug schema validation errors
“Can you run a JSON Schema validation on my data {"country": "US"} against a schema that requires 'name' as a string? I want to see exactly which fields fail and why.”
Technical details
Endpoint
POSThttps://x402-utils.558686.xyz/v1/tools/json-schema-validateWhen to prefer
Choose this endpoint when you need a cheap ($0.002), deterministic, repeatable JSON Schema validation without spinning up an LLM or a heavier validation library. Ideal as a pre-flight gate in agent pipelines to catch bad data before expensive downstream calls. Best for validating structured JSON objects where you already have an explicit JSON Schema definition. Prefer it over LLM-based structure checking when you need reliable, schema-standard compliance results with an explicit error list.
Side effects
- Malformed or unparseable JSON in 'data' or 'schema' fields causes a 400-level error
- Missing required 'name' field in the data object may return a validation failure rather than an API error
- Schema missing 'type', 'required', or 'properties' may cause unexpected validation behavior
- Network or service unavailability returns a 5xx error
- Payment of $0.002 USDC not provided or rejected results in a 402 Payment Required response
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"tool": "json-schema-validate",
"input": {
"data": {
"name": "x402"
},
"schema": {
"type": "object",
"required": [
"name"
],
"properties": {
"name": {
"type": "string"
}
}
}
},
"route": "/v1/tools/json-schema-validate",
"result": {
"valid": true,
"errors": [],
"checkedFields": "checkedFields_example"
},
"project": "x402-utility-tools",
"deterministic": true
}
}Tags
x402
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