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AI Structured Output Validation
x402
AI Structured Output Validation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).
Validates a JSON value against a JSON Schema subset (types, properties, required fields, items, enums, and size/number limits) locally without external references or regex execution
Price / call$0.01
Success—
StatusUnknown
How this service works
AI Structured Output Validation: Validate a JSON value against a documented schema subset: types, properties, required, items, enums and size/number limits. No external references or regex execution. Local processing. Limits and retention: /ai-services.
Output
A validation result indicating whether the JSON value conforms to the provided schema, with details on any type mismatches, missing required fields, enum violations, additionalProperties violations, or exceeded size/number limits
Example use cases
Validate AI chatbot structured response
“My LLM just returned this JSON: {"product":"widget","price":"free","qty":-1} — can you check it against a schema that requires product to be a string, price to be a number, and qty to be an integer with a minimum of 0?”
Enforce required fields in agent output
“I have an AI agent generating user profile objects. Can you validate {"email":"ada@example.com"} against a schema that requires both 'email' and 'username' as strings, so I can catch missing required fields before saving?”
Check enum constraint on classification output
“My AI classifier returned {"sentiment":"mixed"} but the schema only allows 'positive', 'negative', or 'neutral' — can you validate that value against that enum constraint and tell me if it fails?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/ai-output-validation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local JSON schema validation without spinning up a full validation library — especially for validating AI-generated structured outputs against known schemas covering types, required fields, enums, and numeric/size limits. Ideal for agent pipelines that need a cheap ($0.01), fast sanity-check on LLM outputs before downstream processing. Not suitable if you need regex pattern validation, $ref resolution, or full JSON Schema draft compliance.
Side effects
- Schema uses unsupported features like $ref or regex patterns — these are not evaluated
- Value is valid JSON but schema itself is malformed — may return error or unexpected result
- Very large or deeply nested JSON may hit size limits
- External schema references ($ref with URLs) are silently ignored, potentially giving false positives
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| value | — | |
| schema | object |
Tags
x402
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