x402 Utils – JSON Schema Validator

x402

x402 Utils – JSON Schema Validator is a paid API for AI agents from utils.kagurazaka.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-29).

Validates a JSON value against a JSON Schema (draft-07 / 2019-09) and returns a list of every validation error with its path and keyword

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

Validate a JSON value against a JSON Schema (draft-07 and 2019-09 keywords, formats such as email, uri, date-time) and list every error with its path. Patterns run on RE2, so a schema cannot stall the check.

Output

Returns a JSON object with a 'valid' boolean, an 'errors' array where each entry includes the JSON path (e.g. '/email'), the failing keyword (e.g. 'format', 'type', 'minimum'), and a human-readable message, plus an 'error_count' integer. If the data passes all schema constraints, 'valid' is true and 'errors' is empty.

Example use cases

API payload validation before submission

“Before I submit this user registration payload to our API, validate it against our schema — the data is {"username": "alice", "email": "alice@", "birthdate": "2000-13-01"} and the schema requires username as a non-empty string, email as a valid email format, and birthdate as a date-time. Show me every error with its path.”

Catching config file schema errors

“I have a JSON config file and I want to check it against our app's JSON Schema to find any mistakes — here's the config: {"timeout": "fast", "retries": -1} and the schema says timeout must be a positive integer and retries must be between 0 and 10. List all the errors.”

Automated CI schema compliance check

“Run a schema validation check on this API response body against our response schema — the value is {"status": "ok", "count": "five", "items": null} and the schema says count must be an integer and items must be an array. I need the full list of errors with their JSON paths.”

Technical details

Endpoint

POSThttps://utils.kagurazaka.dev/v1/json-schema?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need fast, safe JSON Schema validation with full error reporting and RE2-safe pattern evaluation, especially for untrusted schemas where regex denial-of-service is a concern. It supports draft-07 and 2019-09 keywords plus common format validators (email, uri, date-time). Prefer it over inline validation libraries when you want a hosted, pay-per-call service with no dependency management, or when running in an environment without a native JSON Schema library.

Side effects

Malformed JSON schema object causes a 400 or schema-parse error
Missing 'data' or 'schema' fields in request body returns an error
Unsupported JSON Schema keywords beyond draft-07/2019-09 may be silently ignored
Complex RE2-incompatible regex patterns in schema 'pattern' keywords will fail or be rejected
Very deeply nested data structures may hit processing limits
Payment failure (402) if USDC balance is insufficient

Input

Schema · Request body

Field	Type	Description
data	—	the JSON value to check
schema	object	the JSON Schema

Output

Schema · Response

{
  "type": "json",
  "example": {
    "valid": false,
    "errors": [
      {
        "path": "/email",
        "keyword": "format",
        "message": "must match format \"email\""
      }
    ],
    "error_count": 1
  }
}

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