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KiHustle Call-to-Action Detector
x402
KiHustle Call-to-Action Detector is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-15).
Analyzes text to detect and identify call-to-action (CTA) elements within it
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 processing outcome (e.g. 'processed') and a 'status' field confirming success. The response indicates whether a call-to-action was detected in the submitted text, though the exact CTA details or confidence scores are not explicitly documented in the schema.
Example use cases
Marketing copy CTA audit
“I've written this email campaign text and want to know if it contains any clear calls to action: 'Join thousands of solopreneurs using AI to build passive income streams. Download the free playbook now and get started this week.' Can you detect the CTAs in it?”
Content review for affiliate articles
“Here's a blog article paragraph — can you tell me if there's a call-to-action embedded in it? 'If you're serious about building digital income, click here to grab our free automation guide.' I need to know before I publish.”
A/B test CTA presence check
“I'm comparing two versions of ad copy and need to know which one actually contains a call to action. Here's version A: 'AI tools are changing how people earn online. Explore the possibilities.' Does this text have a CTA or not?”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/call-to-action-detectorWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call text analysis specifically targeting call-to-action detection in marketing or content copy, especially within German-language or AI/side-hustle content contexts. It is well-suited for single text snippets rather than bulk document processing.
Side effects
- Missing or empty 'text' field in request body — likely returns an error status
- Extremely long text inputs may time out or be rejected
- Non-string input type for 'text' field may cause a parsing error
- Network or payment-related failure if x402 payment is not correctly handled
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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