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KiHustle Entity Consistency Checker
x402
KiHustle Entity Consistency Checker is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-13).
Checks whether named entities mentioned in a text are consistent with a provided list of expected entities
Price / call$0.001
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a 'result' field indicating how the entities were processed and a 'status' field confirming success or failure of the consistency check operation.
Example use cases
Validating AI-generated article entities
“I just generated a blog post and I want to make sure the company names I listed — ['Tesla', 'Apple', 'Microsoft'] — are referenced correctly and consistently throughout this text. Can you run a consistency check on it?”
Fact-checking entity names in a report
“Before I publish this market analysis, check if the entities ['Bitcoin', 'Ethereum', 'Solana'] are mentioned consistently in the following paragraph — I want to make sure there are no typos or inconsistent references.”
Quality control for content pipelines
“Run an entity consistency check on this auto-generated product description to confirm that the brand names ['Nike', 'Adidas', 'Puma'] are used correctly and coherently throughout the copy.”
Technical details
Endpoint
POSThttps://kihustle.tech/nexus/api/v1/entity-consistency-checkerWhen to prefer
Use this endpoint when you need a lightweight, pay-per-call check to verify that a specific list of named entities is consistently and correctly referenced within a body of text — particularly useful in automated content generation pipelines, editorial QA workflows, or agent-generated document review where entity correctness matters.
Side effects
- Empty or missing text field returns an error or trivial result
- Empty entities array may produce a vacuous success without meaningful validation
- Malformed JSON input may cause a processing error
- Very long texts may time out or return incomplete results
- Ambiguous entity names (e.g. common words) may produce unreliable consistency signals
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | |
| entities | array |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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