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KiHustle Tone Analyzer
x402
KiHustle Tone Analyzer is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-21).
Analyzes the tone of a given text and returns a tone classification result
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 processed tone outcome and a 'status' field confirming success. The exact tone labels or categories are not documented in the schema, but the endpoint processes free-form text and returns a structured classification result.
Example use cases
Email draft tone check
“Can you check the tone of this email I'm about to send to a client: 'After multiple follow-ups with no reply, I must insist on an immediate answer regarding the overdue invoice'?”
Blog post readability review
“Analyze the tone of this intro paragraph from my blog post about side hustles and tell me if it comes across as motivating and friendly or too formal.”
Social media caption review
“What tone does this Instagram caption have: 'Stop grinding for someone else's dream — build your own income stream starting today'? I want to make sure it sounds energetic but not pushy.”
Technical details
Endpoint
POSThttps://kihustle.tech/api/v1/tone-analyzer?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a lightweight, pay-per-call tone analysis for short to medium text snippets, especially in automated content pipelines or agent workflows where cost-efficiency matters at $0.002 per call. It is suitable when you do not need deep sentiment scoring or multi-dimensional emotion breakdowns, just a quick tone classification.
Side effects
- Missing or empty 'text' field in request body returns an error
- Text too long may cause processing failure or truncation
- Malformed JSON input returns a 400-level error
- Service unavailability returns a non-success status
- Ambiguous or extremely short text may produce low-confidence or generic results
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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