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KiHustle EEAT Author Signal Analyzer
x402
KiHustle EEAT Author Signal Analyzer is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Analyzes text to extract or score E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) author signals from content
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 processing outcome and a 'status' field confirming success; likely includes derived EEAT signal scores or indicators extracted from the submitted text, though the full response schema is minimal.
Example use cases
SEO content quality audit
“I just wrote a new blog post about AI side hustles — can you run the intro through the EEAT author signal analyzer and tell me if it reads as credible and authoritative enough?”
Ghostwriter output review
“My ghostwriter submitted this article section — analyze it for EEAT author signals so I know if it needs more personal experience and expertise language before I publish it.”
Affiliate content trust check
“Before I push this affiliate review live, can you check the body text for strong trustworthiness and experience signals? I want to make sure it passes EEAT scrutiny.”
Technical details
Endpoint
POSThttps://kihustle.tech/api/v1/eeat-author-signalWhen to prefer
Choose this endpoint when you need a quick, automated signal check on whether a piece of written content carries credible E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) author indicators — particularly useful in SEO content pipelines, editorial review workflows, or affiliate site publishing flows where Google EEAT compliance matters. Not suited for full content generation, keyword analysis, or backlink auditing.
Side effects
- Empty or missing 'text' field returns an error or unpredictable result
- Extremely long text input may hit undocumented size limits
- Ambiguous or non-article text may yield low-confidence or generic scores
- Network or payment authorization failure returns 402 or 5xx
- Response schema is minimal — callers should handle unexpected or sparse result fields
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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