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JSON Schema Validate
x402
JSON Schema Validate is a paid API for AI agents from x402.agentutility.ai, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-31).
Validates arbitrary JSON data against a provided JSON Schema document, returning validation errors and counts
Price / call$0.003
Success—
StatusUnknown
How this service works
817 pay-per-call APIs for AI agents. Every endpoint is POST /<name> and is payable in USDC over x402 on Base and Solana — no signup, no API key, just pay-per-call. GET https://x402.agentutility.ai/ returns the same catalog as machine-readable JSON.
Output
Returns a JSON object with: 'valid' (boolean indicating pass/fail), 'errors' (array of detailed per-field validation error objects), 'error_count' (integer count of errors), 'draft' (which schema draft was used, e.g. '2020-12'), and 'truncated' (boolean indicating if the error list was cut off due to size). If valid_only was set to true, only 'valid' and 'error_count' are returned.
Example use cases
API request body validation
“I'm building an API and want to make sure incoming request bodies match my schema before processing — can you validate this payload against my OpenAPI schema and list every field that fails?”
Config file schema compliance check
“Before deploying, check whether this config JSON file is valid according to my JSON Schema definition — I just need to know if it passes or fails and how many errors there are, no detailed breakdown needed.”
Catching data pipeline schema errors
“I have some transformed JSON records from my data pipeline and I need to verify they all conform to our output schema. Can you validate this record against the schema and show me the specific validation errors so I can fix the transformer?”
Technical details
Endpoint
POSThttps://x402.agentutility.ai/json-schema-validate?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need programmatic JSON Schema validation with detailed error reporting, especially inside automated pipelines or agent workflows where you cannot rely on a local validator. It supports both JSON Schema draft 2020-12 and draft-07, validates format keywords (email, uri, date, uuid) always, and returns structured per-error detail suitable for downstream processing. Prefer this over local validation when running in environments without native schema validation libraries, or when you need a consistent cloud-hosted validation step in a pay-per-call agent workflow.
Side effects
- Schema document exceeds 200,000 character limit — returns an error indicating schema too large
- JSON data payload exceeds 500,000 character limit when stringified — returns size limit error
- Malformed JSON schema that cannot be parsed — returns a schema parse error
- Invalid draft version specified (not '2020-12' or 'draft-07') — returns an enum validation error
- Network or payment failure via x402 — HTTP 402 response before execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"draft": "2020-12",
"valid": true,
"errors": [],
"truncated": false,
"error_count": 0
}
}Tags
x402
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