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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 2026-10-10).
Analyzes the tone of a given text and returns a processed result indicating the detected tone or sentiment.
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a 'result' field indicating the processed tone output and a 'status' field confirming success. Specific tone labels or scores are not explicitly documented in the current schema.
Example use cases
Email draft tone check
“Before I send this email to my client, can you check the tone? Here's the text: 'I've followed up three times already and still haven't received a response. Please treat this as urgent.' I want to make sure it doesn't come across as too aggressive.”
Marketing copy tone review
“Can you analyze the tone of my ad copy: 'Join thousands of hustlers who are already making money online with AI — no fluff, just real systems that work.' Does it sound motivating and energetic or pushy?”
Blog post formality check
“I'm writing a blog post and want to make sure the tone fits a professional audience. Can you analyze this paragraph: 'AI automation isn't magic — it's structured thinking powered by the right tools.' Tell me what tone it gives off.”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/tone-analyzer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, low-cost ($0.002 per call) tone analysis on short text snippets, particularly within workflows focused on AI, automation, or content creation contexts. Best suited for lightweight tone classification where detailed multi-label sentiment analysis is not required.
Side effects
- Missing or empty 'text' field returns an error or undefined behavior
- Overly long text inputs may be truncated or rejected
- Generic response schema means tone categories/labels are opaque without additional documentation
- Low crawl quality score suggests the endpoint may be experimental or under-documented
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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