KiHustle Data Projection API

x402

KiHustle Data Projection API is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-10).

Projects and transforms specified fields from an input data object, returning a filtered or reshaped result set

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

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Output

Returns a JSON object with a 'result' field containing 'processed' and a 'status' field of 'success', along with the projected data containing only the requested fields from the input object.

Example use cases

Slim down API response payload

“I have a huge JSON response from our user database with dozens of fields. Can you project it down to just id, name, and email so it's easier to work with?”

Extract KPIs from analytics blob

“Here's our raw analytics data object with all metrics. I only need the fields revenue, conversion_rate, and session_count — can you pull just those out?”

Prepare data subset for reporting

“I've got a full product record with inventory, pricing, descriptions, and supplier info. For the monthly report I only need product_name, sku, and price — can you project those fields from the data?”

Technical details

Endpoint

POSThttps://kihustle.tech/agents/api/v1/data-projection?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a lightweight, pay-per-call field projection or filtering operation on a JSON data object without setting up a full data pipeline. Best suited for ad-hoc data reshaping tasks where only a subset of fields from a larger object is needed downstream.

Side effects

Missing or invalid 'data' object returns an error response
Empty or malformed 'fields' array may return empty result or error
Requesting fields that don't exist in the data object may return empty or partial result
Malformed JSON input causes request rejection
Payment failure via x402 protocol blocks the call

Input

Schema · Request body

Field	Type	Description
data	object
fields	array

Output

Schema · Response

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

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