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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 2026-09-15).
Analyzes a block of text and returns a result indicating whether it was likely generated by AI
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 (e.g. 'processed') and a 'status' field confirming success or failure of the request. The response schema is minimal; agents should treat the 'result' value as the primary classification output.
Example use cases
Screen student essay submissions
“I have a student essay I need to check — can you run it through the AI detector and tell me if it looks machine-generated? Here's the text: 'Education is the cornerstone of societal progress, fostering critical thinking and enabling individuals to contribute meaningfully to their communities.'”
Verify blog post originality
“Before I publish this blog post, can you check whether it reads as AI-written? The text is: 'Automation is reshaping the modern workforce, creating opportunities for those willing to adapt and learn new skills in a rapidly evolving digital landscape.'”
Screen freelancer-submitted copy
“I hired a freelancer and I'm not sure if they used ChatGPT for this marketing copy — can you run it through the AI text detector? The copy reads: 'Our product delivers unparalleled value by combining cutting-edge technology with seamless user experience design.'”
Technical details
Endpoint
POSThttps://kihustle.tech/api/v1/ai-text-detectorWhen to prefer
Choose this endpoint when you need a low-cost ($0.002 per call), API-accessible AI text detection check paid via x402/USDC micropayment. It is suitable for lightweight, single-text screening tasks where a simple pass/fail or classification result is sufficient. Prefer more established AI detection APIs (e.g. Originality.ai, GPTZero) when you need detailed confidence scores, multi-language support, or a well-documented response schema with clear classification labels.
Side effects
- Empty or missing 'text' field returns an error or undefined behavior
- Extremely short text (fewer than a few words) may produce unreliable results
- Non-English text may reduce detection accuracy given the site's German-language focus
- Response schema is underspecified — 'result' value semantics beyond 'processed' are unclear
- Service may return generic success status even on edge-case inputs
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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