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KiHustle Source Attribution Checker
x402
KiHustle Source Attribution Checker is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Checks text for source attribution quality, verifying whether content properly credits its origins or affiliate links
Price / call$0.002
Success—
StatusUnknown
How this service works
Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.
Output
Returns a JSON object with a 'result' field indicating the attribution check outcome and a 'status' field confirming whether processing succeeded. May include details about attribution quality or compliance issues found in the submitted text.
Example use cases
Blog post attribution audit
“I just wrote a guide on AI side hustles with several affiliate links — can you run this text through the source attribution checker to make sure I've properly credited everything and it passes a transparency check?”
Content compliance before publishing
“Before I publish this article about automation income strategies, can you verify whether the attribution and disclosures in this text are in order? Here's the full text of the post.”
Affiliate disclosure verification
“I have a product review with multiple affiliate links — can you check if this text properly discloses the affiliate relationships and attributes the original sources I referenced?”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/source-attribution-checkerWhen to prefer
Choose this endpoint when you need to validate that written content — particularly blog posts, guides, or affiliate-monetized articles — properly attributes its sources and discloses commercial relationships. Best suited for content creators and publishers on the KiHustle platform who want to ensure transparency compliance before publishing AI, automation, or side-hustle content.
Side effects
- Empty or missing 'text' field returns an error or no meaningful result
- Extremely long text may exceed processing limits
- Non-textual or binary content submitted as text may produce unreliable results
- Ambiguous attribution cases may return generic 'processed' results without specific guidance
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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