AgentProof JSON Schema Inference

x402

AgentProof JSON Schema Inference is a paid API for AI agents from agentproof-murex.vercel.app, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-15).

Infers a JSON Schema from a sample API response payload submitted by the user

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

JSON Schema inference for APIs - infer schema from sample responses.

Output

Returns an inferred JSON Schema document describing the structure, property names, data types, and required fields derived from the submitted sample JSON response payload.

Example use cases

Example prompt

“Can you infer the JSON Schema for this sample API response I got back from a payments endpoint? Here's the JSON: {"id": "txn_123", "amount": 9.99, "currency": "USD", "status": "completed", "timestamp": "2024-01-15T10:30:00Z"}”

Technical details

Endpoint

POSThttps://agentproof-murex.vercel.app/schema/infer

When to prefer

Use this endpoint when you have a concrete sample API response and want to automatically produce a formal JSON Schema definition without writing it by hand. Ideal for agents automating API contract discovery, building validators, or documenting third-party API responses. Prefer this over manual schema writing or generic LLM schema guessing when you have real response data.

Side effects

Invalid or malformed JSON input returns an error indicating the payload could not be parsed
Empty payload or missing body returns a validation error
Extremely large or deeply nested JSON may time out or return a partial schema
Non-JSON content types may be rejected

Input

{
  "input": "{\"id\": \"user_456\", \"name\": \"John Doe\", \"email\": \"john@example.com\", \"age\": 30, \"active\": true, \"created_at\": \"2024-01-15T10:30:00Z\"}"
}

Schema · Request body

Field	Type	Description
example	—	Any JSON value.
examples	array

Output

{
  "schema": {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "input"
    ],
    "properties": {
      "input": {
        "type": "string"
      }
    },
    "additionalProperties": true
  },
  "service": "AgentProof",
  "endpoint": "schema.infer"
}

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Technical details

Endpoint

POSThttps://agentproof-murex.vercel.app/schema/infer

When to prefer

Side effects

Invalid or malformed JSON input returns an error indicating the payload could not be parsed
Empty payload or missing body returns a validation error
Extremely large or deeply nested JSON may time out or return a partial schema
Non-JSON content types may be rejected

Input

{
  "input": "{\"id\": \"user_456\", \"name\": \"John Doe\", \"email\": \"john@example.com\", \"age\": 30, \"active\": true, \"created_at\": \"2024-01-15T10:30:00Z\"}"
}

Schema · Request body

Field	Type	Description
example	—	Any JSON value.
examples	array

Output

{
  "schema": {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "input"
    ],
    "properties": {
      "input": {
        "type": "string"
      }
    },
    "additionalProperties": true
  },
  "service": "AgentProof",
  "endpoint": "schema.infer"
}