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24K Labs Sentiment Analyzer
x402
24K Labs Sentiment Analyzer is a paid API for AI agents from api.24klabs.ai, paid per call via x402, $0.006/call, status unknown (last checked 2026-09-15).
Classifies text as positive, negative, or neutral and returns a sentiment score, magnitude, and brief reason.
Price / call$0.006
Success—
StatusUnknown
How this service works
Classify text sentiment (positive/negative/neutral) with a score, magnitude, and brief reason.
Output
Returns a sentiment classification label (positive, negative, or neutral), a numerical sentiment score, a magnitude value indicating strength of sentiment, and a brief human-readable reason explaining the classification.
Example use cases
Customer review sentiment triage
“I need to classify this customer review as positive, negative, or neutral and get a reason why — here's the text: 'Amazing product, exactly as described, arrived ahead of schedule!'”
Social media comment moderation
“Can you tell me the sentiment score and magnitude for this tweet comment before I decide whether to escalate it: 'This company never responds to complaints and their support is absolutely useless.'”
Support ticket emotional tone scoring
“Analyze the sentiment of this support ticket message and let me know if it's positive, neutral, or negative along with how strongly it reads that way: 'I've been waiting three weeks for a refund and nobody has gotten back to me.'”
Technical details
Endpoint
POSThttps://api.24klabs.ai/api/sentiment-analyzeWhen to prefer
Choose this endpoint when you need a lightweight, fast sentiment classification with an interpretable score, magnitude, and explanation rather than a full NLP pipeline. Ideal for per-item sentiment tagging in agentic workflows where cost-per-call matters ($0.006 USDC) and you need more than just a label — specifically the magnitude and reason fields. Best for short-to-medium text like reviews, comments, tickets, and social posts.
Side effects
- Empty or missing text input returns a validation error
- Extremely short or ambiguous text may produce low-confidence or neutral classification
- Non-English text may yield inaccurate results if multilingual support is limited
- Overly long text inputs may be truncated or rejected
- Network timeout on the x402 payment or API endpoint returns a payment or connectivity error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"sentiment": "positive"
}
}Tags
x402
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