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KiHustle Keyword Sentiment Matrix
x402
KiHustle Keyword Sentiment Matrix is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-13).
Analyzes sentiment for specific keywords within a given text, returning a per-keyword sentiment breakdown
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 sentiment output and a 'status' field confirming success; specific per-keyword sentiment scores or labels are included in the result payload based on the provided keyword list and input text
Example use cases
Product review keyword sentiment check
“Take this customer review — 'The delivery was shockingly fast but the packaging was terrible and the product quality was just okay' — and tell me how each of these keywords is framed sentimentally: ['delivery', 'packaging', 'product quality'].”
Content tone audit for marketing copy
“I have this ad copy: 'Our AI-powered freelance platform helps you earn more, stress less, and automate the boring stuff.' Can you analyze the sentiment around these keywords: ['AI-powered', 'earn more', 'stress', 'automate']?”
Social media mention sentiment by keyword
“Here's a tweet: 'Tried three side hustle apps this month — the automation was great but the income was disappointing and support was useless.' Analyze the sentiment for ['automation', 'income', 'support'] in that text.”
Technical details
Endpoint
POSThttps://kihustle.tech/bot-bazaar/api/v1/keyword-sentiment-matrix?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need sentiment analysis scoped to specific keywords rather than document-level sentiment; ideal for content audits, review analysis, or marketing copy evaluation where you care about how particular terms are framed rather than overall tone
Side effects
- Missing or empty 'text' field causes processing failure
- Empty or null 'keywords' array returns no sentiment data
- Malformed JSON body returns 400-level error
- Keywords not present in the text may return null or neutral results
- Very long texts may cause timeout or degraded accuracy
- Non-English text may produce unreliable sentiment scores given the platform's German-language context
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | |
| keywords | array |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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