KiHustle JSON Field Type Report

x402

KiHustle JSON Field Type Report is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-15).

Analyzes a JSON payload and reports the data types of its fields

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.

Output

Returns a JSON object with a 'result' field indicating processing outcome (e.g. 'processed') and a 'status' field (e.g. 'success'), along with type classification information for the fields in the submitted payload.

Example use cases

Validate API response field types

“I got this JSON back from an API and I need to know what data type each field is — can you run a field type report on it: '{"id":"abc123","count":42,"enabled":false}'?”

Debug malformed JSON structure

“Something is wrong with my JSON data and I think the field types are off. Can you inspect this payload and tell me what type each field is: '{"timestamp":"2024-01-15","value":"123","flag":1}'?”

Audit schema before data pipeline ingestion

“Before I feed this JSON into my pipeline, I want a field type breakdown so I can catch any mismatches early. Here's the payload: '{"user_id":99,"email":"test@example.com","verified":true,"balance":null}'.”

Technical details

Endpoint

POSThttps://kihustle.tech/nexus/api/v1/json-field-type-report?utm_source=zero.xyz

When to prefer

Use this endpoint when you need a lightweight, per-call JSON field type inspection at low cost ($0.002 per call). Prefer it when you want a quick programmatic report on what data types appear in a JSON object, especially for debugging, schema validation, or pipeline pre-checks. Not suited for large-scale schema inference or when rich schema documentation is needed.

Side effects

Invalid or malformed JSON in payload field — may return error status
Empty payload string — unclear behavior, likely error
Payload field missing from request body — schema validation failure
Very deeply nested JSON may not be fully analyzed
Non-string payload values may cause parsing issues

Input

Schema · Request body

Field	Type	Description
payload	string

Output

Schema · Response

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

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