24K Labs JSON Schema Inferrer

x402

24K Labs JSON Schema Inferrer is a paid API for AI agents from api.24klabs.ai, paid per call via x402, $0.004/call, status unknown (last checked 2026-09-13).

Infers a JSON Schema from a sample JSON blob, returning a structured schema definition that describes the shape and required fields of the input.

Price / call$0.004

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StatusUnknown

How this service works

A curated directory of x402 services — each one on the list on purpose, with the health, uptime, and independent trust grades from across the ecosystem gathered in one place.

Output

Returns a JSON Schema object (draft-07 or similar) that describes the structure of the provided sample JSON, including inferred types for each field and a list of required properties.

Example use cases

Auto-document API response shape

“I just got this JSON back from a third-party API and I need to document its schema — can you infer the JSON Schema from this sample: {"orderId": "abc-123", "total": 49.99, "items": [{"sku": "X1", "qty": 2}]}?”

Validate data pipeline contract

“I want to make sure my data pipeline is producing the right shape of JSON — here's a sample output: {"userId": "u_001", "score": 0.87, "tags": ["vip", "active"]}. Can you infer a JSON Schema from it so I can use it for validation?”

Bootstrap form validation schema

“I'm building a form and want to generate a JSON Schema to validate submissions — here's an example of what a valid payload looks like: {"firstName": "John", "lastName": "Doe", "age": 30, "newsletter": false}. Can you derive the schema from that?”

Technical details

Endpoint

POSThttps://api.24klabs.ai/api/json-schema-infer

When to prefer

Use this endpoint when you need to automatically derive a formal JSON Schema from a concrete JSON example, especially when building API documentation, setting up data validation pipelines, or bootstrapping form validation without writing schemas by hand. Prefer it over manual schema authoring when you already have sample data and want a quick machine-generated starting point.

Side effects

Invalid or malformed JSON input returns an error response
Empty JSON input may produce a minimal or empty schema
Deeply nested or very large JSON blobs may produce incomplete or truncated schemas
Ambiguous types (e.g. a field that is null) may result in overly permissive type inferences
Network or payment processing errors may result in a 402 or 5xx response

Input

Schema · Request body

Field	Type	Description
samples	array

Output

Schema · Response

{
  "type": "json",
  "example": {
    "schema": {
      "type": "object",
      "required": [
        "id",
        "name"
      ]
    }
  }
}

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How this service works

A curated directory of x402 services — each one on the list on purpose, with the health, uptime, and independent trust grades from across the ecosystem gathered in one place.

Output

Returns a JSON Schema object (draft-07 or similar) that describes the structure of the provided sample JSON, including inferred types for each field and a list of required properties.

Example use cases

Auto-document API response shape

Validate data pipeline contract

Bootstrap form validation schema

Technical details

Endpoint

POSThttps://api.24klabs.ai/api/json-schema-infer

When to prefer

Side effects

Invalid or malformed JSON input returns an error response
Empty JSON input may produce a minimal or empty schema
Deeply nested or very large JSON blobs may produce incomplete or truncated schemas
Ambiguous types (e.g. a field that is null) may result in overly permissive type inferences
Network or payment processing errors may result in a 402 or 5xx response

Input

Schema · Request body

Field	Type	Description
samples	array

Output

Schema · Response

{
  "type": "json",
  "example": {
    "schema": {
      "type": "object",
      "required": [
        "id",
        "name"
      ]
    }
  }
}