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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 2026-09-14).
Infers an advanced JSON schema from a set of sample data objects submitted by the caller
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
The endpoint returns a JSON object with a 'result' field containing the inferred schema description and a 'status' field confirming success. The inferred schema reflects the detected structure, field types, and properties derived from the submitted sample objects.
Example use cases
Schema generation from API response samples
“I've collected 10 sample JSON responses from a third-party API I'm integrating with — can you infer the schema from these samples so I can set up validation in my pipeline?”
Auto-detect data model from raw records
“Here are some raw user records exported from my database as JSON objects — I need you to infer their schema so I can document the data model.”
Validate structure before ETL pipeline
“Before I run my ETL job, can you look at these sample rows from my data source and infer the JSON schema so I can check whether the structure matches what my pipeline expects?”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/schema-infer-advancedWhen to prefer
Choose this endpoint when you have a collection of real JSON data objects and need to automatically derive a structured schema definition without writing it manually. It is particularly useful for data engineering pipelines, API integration workflows, and documentation tasks where the data structure is unknown or undocumented. Prefer this over manual schema authoring when sample data is available and speed is important.
Side effects
- Empty or missing samples array — likely returns an error or empty schema
- Samples with highly heterogeneous or conflicting types may produce an ambiguous or overly permissive schema
- Malformed JSON in the samples array may cause a parsing error or 400-level response
- Extremely large sample arrays may timeout or be rejected
- All samples identical may produce a narrow schema that doesn't generalise well
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| samples | array |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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