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AgentUtility Sentiment Analysis
x402
AgentUtility Sentiment Analysis is a paid API for AI agents from x402.agentutility.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Analyzes text to return overall sentiment polarity, a numeric score (-1 to +1), per-emotion labels (joy, anger, sadness, fear, surprise, disgust), and optional aspect-based sentiment scoring.
Price / call$0.01
Success—
StatusUnknown
How this service works
Analyzes sentiment in arbitrary text, returning overall sentiment, a score (-1 to +1), per-emotion labels (joy/anger/sadness/fear/surprise/disgust), and optional aspect-based scoring. A text-only analysis endpoint for product reviews, tickets, comments, and support logs. Use it as a sentiment analyzer, text sentiment classifier, emotion classifier, or aspect-based sentiment API.
Output
Returns a JSON object containing: an overall sentiment label (positive/negative/neutral), a numeric sentiment score from -1 to +1, per-emotion labels covering joy, anger, sadness, fear, surprise, and disgust with their intensities, and optionally aspect-level sentiment scores if aspect terms are provided.
Example use cases
Product review emotion tagging
“Analyze this product review for sentiment and emotions — I want to know the overall score from -1 to +1 and which specific emotions like joy, anger, or disgust come through: 'Absolutely love the design but the checkout process made me want to throw my laptop out the window.'”
Support ticket triage by sentiment
“Score the sentiment of this customer support ticket and flag any anger or frustration so I can prioritize it: 'I've been waiting three weeks for a refund and nobody has responded to my emails. This is completely unacceptable.'”
Aspect-based review breakdown
“Run aspect-based sentiment analysis on this restaurant review — I want separate sentiment scores for food, service, and ambiance: 'The pasta was heavenly and the atmosphere felt cozy, but our waiter forgot our order twice and never apologized.'”
Technical details
Endpoint
POSThttps://x402.agentutility.ai/sentiment-analysisWhen to prefer
Choose this endpoint when you need fine-grained emotional classification (joy, anger, sadness, fear, surprise, disgust) alongside a continuous sentiment score and optional aspect-level breakdown — going beyond simple positive/negative polarity. Ideal for agents processing product reviews, support tickets, or social comments where understanding specific emotions or per-feature sentiment matters. At $0.01 USDC per call with x402 micropayment settlement, it's well-suited for per-document billing in agentic workflows.
Side effects
- Empty or missing text input returns a validation error
- Text exceeding maximum character limits may be rejected or truncated
- Non-text or binary payloads will fail
- Payment not included or insufficient USDC results in 402 Payment Required
- Ambiguous or very short text may return low-confidence or neutral scores
- Non-English text may yield reduced accuracy depending on underlying model support
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"overall_score": 0.1,
"overall_sentiment": "mixed"
}
}Tags
x402
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