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KiHustle Negation Detector
x402
KiHustle Negation Detector is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-14).
Detects negation constructs within a given text string and returns a structured result indicating whether negation was found
Price / call$0.001
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a 'result' field indicating the processing outcome (e.g. 'processed') and a 'status' field confirming success. The response does not appear to include detailed negation span information based on the available schema, but signals whether the text was successfully analyzed.
Example use cases
Negation check for sentiment pipeline
“Before I run sentiment analysis, check if the following customer review contains any negation: 'The staff was not friendly and I did not enjoy my visit at all.'”
Content moderation negation flag
“I need to know if this user comment uses negation so I can flag it correctly — run negation detection on: 'We do not accept any responsibility for the damage.'”
Chatbot intent disambiguation
“My chatbot is confused about user intent — can you run negation detection on this message to see if the user is refusing something: 'I don't want to be contacted again.'”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/negation-detector?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a lightweight, low-cost ($0.001 USDC) signal to detect negation in a text snippet, particularly in NLP preprocessing pipelines, chatbot intent classification, or sentiment disambiguation workflows where knowing whether a statement is negated changes downstream logic.
Side effects
- Missing or empty 'text' field returns an error or malformed response
- Very long text strings may cause processing delays or timeouts
- Non-string input types for the text field may cause validation errors
- Service may return generic success response without detailed negation metadata due to minimal response schema
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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