KiHustle Schema Infer Advanced

x402

KiHustle Schema Infer Advanced is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-12).

Infers an advanced JSON schema from a collection of sample data objects

Price / call$0.002

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Success—

StatusUnknown

How this service works

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Output

Returns a JSON object containing the inferred schema derived from the provided sample data, with field names, detected types, and structure. The response includes a 'result' field confirming processing and a 'status' field indicating success or failure.

Example use cases

Auto-detect API response schema

“I have a bunch of example JSON responses from a third-party API and I need to automatically figure out the schema — can you infer the field names, types, and structure from these sample objects?”

Validate dataset structure before import

“Before I import this dataset into my pipeline, can you infer the schema from these sample rows so I know what field types and structure to expect?”

Document unknown data format

“I've got a collection of mystery JSON records with no documentation — can you analyze these samples and tell me what the schema looks like, including field names and data types?”

Technical details

Endpoint

POSThttps://kihustle.tech/api/v1/schema-infer-advanced?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need automated schema inference from real data samples rather than hand-writing schemas manually. It is particularly useful in data pipeline setup, API documentation, and ETL workflows where the data structure is unknown or undocumented. Prefer this over manual schema writing when you have at least a few representative records available.

Side effects

Empty samples array returns an error or minimal schema
Highly inconsistent sample objects may produce ambiguous or overly permissive schema
Malformed JSON in samples array causes validation error
Too few samples may result in incomplete type inference
Very deeply nested objects may not be fully resolved

Input

Schema · Request body

Field	Type	Description
samples	array

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": "processed",
    "status": "success"
  }
}

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