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KiHustle Hallucination Risk Scorer
x402
KiHustle Hallucination Risk Scorer is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-10).
Scores a given text for its likelihood of containing AI hallucinations or fabricated information
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a 'result' field indicating processing outcome and a 'status' field confirming success; expected to include a hallucination risk score or classification for the submitted text
Example use cases
Fact-checking AI blog drafts
“Before I publish this AI-written article section, can you run it through the hallucination risk scorer to see how likely it is to contain made-up facts? Here's the text: 'Marie Curie won three Nobel Prizes and was the first woman to walk on the moon.'”
Validating chatbot responses
“I have a response my chatbot just generated for a customer — can you score it for hallucination risk so I know if it's safe to send? The text is: 'Our product has been FDA-approved since 2015 and is used by over 10 million people worldwide.'”
Quality-gating LLM pipeline output
“I'm building an automation pipeline and need to filter out unreliable AI outputs — can you score this text for hallucination risk before it moves to the next step? Text: 'The study by Harvard in 2022 confirmed that intermittent fasting reduces cancer risk by 40%.''”
Technical details
Endpoint
POSThttps://kihustle.tech/nexus/api/v1/hallucination-risk-scorer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, low-cost ($0.002 per call) hallucination risk assessment for a single block of text — particularly useful in content pipelines, agent output validation loops, or publishing workflows where you want to flag potentially fabricated claims before downstream use. It is not ideal when you need detailed fact-by-fact attribution, multi-language support guarantees, or when the response schema specifics are critical.
Side effects
- Empty or missing 'text' field returns an error or generic processed response
- Very short or ambiguous inputs may produce low-confidence scores
- Extremely long text may be truncated or time out
- Non-English text may yield unreliable scores given the site's German-language context
- Generic response schema means score granularity and format are not well-documented
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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