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 2026-10-22).

Analyzes the sentiment of specific keywords within a given text, returning a sentiment mapping per keyword

Price / call$0.002

Seller volume →—

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 'processed' and a 'status' field of 'success', along with sentiment analysis data mapped to each submitted keyword indicating their sentiment polarity or score within the provided text.

Example use cases

Customer review keyword sentiment check

“Take this product review and tell me the sentiment for each of these specific words: 'quality', 'price', 'support', and 'delivery' — the review text is: 'The quality blew me away but the price felt steep, support was slow, and delivery was surprisingly fast.'”

Content tone audit for marketing copy

“I have some marketing copy and I want to know whether key brand terms like 'innovation', 'trust', and 'growth' come across as positive or negative in this sentence: 'Our innovation sets us apart, trust is our foundation, and growth is the result.'”

SEO article sentiment mapping

“Analyze how the keywords 'AI', 'side hustle', and 'digital income' are being used — positive, negative, or neutral — in this intro paragraph: 'AI is reshaping side hustles and digital income is no longer just a dream for most people.'”

Technical details

Endpoint

POSThttps://kihustle.tech/agents/api/v1/keyword-sentiment-matrix?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need granular, keyword-level sentiment analysis rather than document-level sentiment scoring. It is ideal when you want to understand how specific terms or phrases are emotionally framed within a larger body of text, rather than the overall tone of the document. Particularly useful for SEO analysis, content auditing, brand monitoring, or evaluating how specific keywords land in user-generated content.

Side effects

Missing 'text' field returns error
Empty 'keywords' array may return empty result or error
Very long text may cause timeout or truncation
Unrecognized or non-English keywords may return neutral or null sentiment
Malformed JSON body returns 400 error
Payment failure (x402) blocks the request before processing

Input

Schema · Request body

Field	Type	Description
text	string
keywords	array

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": "processed",
    "status": "success"
  }
}

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