KiHustle JSON Type Coercer

x402

KiHustle JSON Type Coercer is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-13).

Coerces and normalizes JSON payload data types, converting values to their proper JSON types

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

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Output

Returns a JSON object with a 'result' field containing the type-coerced payload and a 'status' field indicating success. All primitive values in the input are converted to their proper JSON types (strings that look like numbers become numbers, string booleans become boolean true/false, etc.).

Example use cases

Fix API response type mismatches

“I'm getting JSON back from a third-party API where all values come as strings — things like '42' instead of 42, and 'true' instead of true. Can you run it through the type coercer so everything has the right primitive type before I store it?”

Normalize form submission data

“My web form sends all fields as strings in JSON, but my database expects integers and booleans in the right places. Can you coerce the types in this payload so it matches what the schema expects?”

Prepare JSON for strict schema validation

“I need to validate this JSON object against a strict schema that doesn't allow type coercion, but the data has mixed types right now. Can you convert all the values to their correct JSON types first — numbers as numbers, booleans as booleans — so the validation will pass?”

Technical details

Endpoint

POSThttps://kihustle.tech/bot-bazaar/api/v1/json-type-coercer?utm_source=zero.xyz

When to prefer

Use this endpoint when you have a JSON payload with type inconsistencies — particularly string-encoded numbers, booleans, or nulls — and need them normalized to proper JSON primitives before passing to a downstream system that enforces strict typing. Prefer this over manual regex/parsing when you need a quick, pay-per-call microservice without hosting your own transformation logic.

Side effects

Malformed input JSON returns a processing error
Ambiguous values that could map to multiple types may be coerced unpredictably
Deeply nested or very large payloads may time out
No schema hint provided may result in heuristic coercion that doesn't match expectations

Input

Schema · Request body

Field	Type	Description
payload	object

Output

Schema · Response

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

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