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KiHustle Sentiment Aspect Analysis
x402
KiHustle Sentiment Aspect Analysis 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 the sentiment of a given text with respect to a specific keyword or aspect
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 indicating the processing result and success status, including a 'result' field (e.g. 'processed') and a 'status' field (e.g. 'success'). Sentiment polarity or score specific to the keyword aspect may be included in the result.
Example use cases
Product review feature sentiment
“Take this Amazon review and tell me what the sentiment is specifically around the keyword 'shipping speed': 'The product itself was fine but shipping speed was disappointingly slow and I had to wait two extra weeks.'”
Brand mention tone analysis
“I have this social media post — can you extract the sentiment toward the keyword 'customer support'? The post says: 'I've been trying to reach customer support for three days now and nobody has responded, absolutely unacceptable.'”
Content moderation topic check
“Check this user comment for sentiment around the keyword 'price' — the comment is: 'I love everything about this tool, the price is fair and honestly I think it's undervalued for what you get.'”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/sentiment-aspectWhen to prefer
Choose this endpoint when you need aspect-based or keyword-targeted sentiment analysis rather than overall document-level sentiment, particularly when you want to understand how a piece of text feels about one specific topic or feature rather than the text as a whole.
Side effects
- Missing required 'text' or 'keyword' field returns an error
- Overly long text input may be truncated or rejected
- Ambiguous or absent keyword may produce generic rather than aspect-specific sentiment
- Non-English text may yield inaccurate results given the German-language site context
- Payment failure via x402 protocol blocks the request before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | |
| keyword | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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