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 content

Price / call$0.002

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Success—

StatusUnknown

How this service works

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Output

Returns a JSON object with a 'result' field indicating the processed hallucination risk assessment and a 'status' field confirming success. The exact risk score or confidence level may be included in the result value.

Example use cases

Fact-checking AI chatbot responses

“Before I send this chatbot response to my user, can you run it through the hallucination risk scorer to see if any of the claims look fabricated? Here's the text: 'According to a 2023 WHO report, global vaccine coverage reached 94% in developing nations.'”

Pre-publication AI content review

“I wrote this article section using ChatGPT and want to catch any hallucinated facts before publishing — can you score it for hallucination risk? The text is: 'Ethereum was founded in 2015 by Vitalik Buterin alongside co-founders including Gavin Wood and Joseph Lubin.'”

LLM output quality monitoring

“My agent pipeline just generated this summary and I need to flag it if it's high-risk for hallucinations before storing it in the database — can you score it? Text: 'Tesla's first fully autonomous vehicle was approved for public roads in California in June 2022.'”

Technical details

Endpoint

POSThttps://kihustle.tech/bot-bazaar/api/v1/hallucination-risk-scorer?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a lightweight, low-cost ($0.002 per call) automated hallucination risk check on AI-generated text before publishing, storing, or relaying it to users. Prefer it in pipelines where you need a quick pass/fail or risk score on LLM outputs without building your own fact-checking infrastructure.

Side effects

Empty or missing 'text' field returns an error or undefined result
Very long text inputs may be truncated or rejected
Non-English text may produce unreliable scores given the site's German-language context
Vague or very short text may return low-confidence scores
Network timeout if the service is unavailable

Input

Schema · Request body

Field	Type	Description
text	string

Output

Schema · Response

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

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