KiHustle Sentiment Score API

x402

KiHustle Sentiment Score API is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-21).

Analyzes the sentiment of a given text string and returns a sentiment score

Price / call$0.001

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 the processed sentiment output and a 'status' field confirming success. The response schema is minimal — the sentiment score value is nested within 'result'.

Example use cases

Customer review sentiment scoring

“Score the sentiment of this customer review so I know whether to flag it: 'Shipping was fast but the item arrived damaged and support never responded.'”

Social media comment tone detection

“What's the sentiment score of this comment I just scraped from Twitter: 'Absolutely love the new update, it's so much smoother now!'?”

User feedback triage pipeline

“Run a sentiment analysis on this support ticket text and tell me whether it's positive, negative, or neutral: 'I've been waiting three weeks for a refund and nobody is helping me.'”

Technical details

Endpoint

POSThttps://kihustle.tech/api/v1/sentiment-score?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a lightweight, low-cost per-call sentiment scoring solution paid per-use via USDC microtransactions. Suitable for pipelines that need to classify short text snippets without a subscription or API key setup. Best for prototyping or low-volume workflows where cost-per-call matters.

Side effects

Missing or empty 'text' field returns an error
Extremely long text may be truncated or rejected
Non-string input types may cause a processing failure
Network or payment errors may result in a 402 or 5xx response

Input

Schema · Request body

Field	Type	Description
text	string

Output

Schema · Response

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

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