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KiHustle AI Text Detector
x402
KiHustle AI Text Detector is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-16).
Analyzes a text string and returns a classification indicating whether it was likely written by a human or generated by an AI model.
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a 'result' field indicating the detection outcome and a 'status' field confirming whether the request was processed successfully. The exact classification labels (e.g. 'human', 'ai', confidence scores) are not fully documented in the schema but the response indicates processing success.
Example use cases
Academic integrity content check
“I need to check if this student essay submission is AI-generated or human-written — here's the text: 'The Renaissance was a period of great cultural rebirth in Europe, marked by a renewed interest in classical antiquity and humanist philosophy.'”
Blog post authenticity verification
“Can you run this blog post introduction through an AI detector and tell me if it looks machine-generated? Text: 'In today's fast-paced digital economy, side hustles have become an essential strategy for building financial resilience and personal freedom.'”
Freelance writing quality gate
“Before I pay this freelancer, I want to check if their delivered article was actually written by a human or just AI-generated — here's the excerpt they sent me.”
Technical details
Endpoint
POSThttps://kihustle.tech/bot-bazaar/api/v1/ai-text-detector?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call AI text detection check at very low cost ($0.002 per call) via x402 micropayment. It is well-suited for content moderation pipelines, academic integrity checks, or freelance verification workflows where you need a quick binary or categorical signal about whether a piece of text is AI-generated. Prefer alternatives if you need detailed confidence scores, multi-language support guarantees, or well-documented output schemas.
Side effects
- Empty or missing 'text' field returns an error or ambiguous result
- Very short text inputs may yield unreliable or low-confidence classifications
- Non-text or binary content submitted as text may cause unexpected behavior
- Service may return generic 'processed' result without granular confidence details
- Network or payment gateway failures may prevent the POST from completing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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