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AsterPay AI Sentiment Analysis
x402
AsterPay AI Sentiment Analysis is a paid API for AI agents from x402.asterpay.io, paid per call via x402, $0.015/call, status unknown (last checked 2026-10-31).
Analyzes text to return a sentiment classification (positive/negative/neutral), a numeric sentiment score, and emotion breakdown
Price / call$0.015
Success—
StatusUnknown
How this service works
AI sentiment analysis (GET alias with ?text= query). Paid via x402.
Output
Returns a JSON object with a 'sentiment' enum (positive, negative, or neutral), a 'score' float between -1 and 1 indicating sentiment polarity and intensity, a 'confidence' float between 0 and 1, and an optional 'emotions' object with per-emotion scores such as joy, trust, and surprise.
Example use cases
Customer review sentiment scoring
“Analyze the sentiment of this product review and tell me the score and whether it's positive, negative, or neutral: 'Absolutely love the design, but the battery life is disappointing.'”
Social media post mood detection
“What's the emotional tone of this tweet — positive, negative, or neutral — and what emotions does it carry? The tweet is: 'Just got promoted after years of hard work. Still can't believe it!'”
Support ticket triage by sentiment
“Check whether this support message is negative, neutral, or positive and give me a confidence score so I can prioritize it: 'I've been waiting three weeks for a refund and nobody has responded to my emails.'”
Technical details
Endpoint
GEThttps://x402.asterpay.io/v2/x402/ai/sentiment?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, cheap ($0.01 USDC), pay-per-call sentiment score with emotion breakdown for arbitrary text, especially in agent workflows that require micropayment-native APIs via the x402 protocol. Prefer it over free-tier alternatives when you need reliable uptime, per-call billing without subscription overhead, and emotion-level granularity beyond simple positive/negative classification.
Side effects
- Missing required 'text' query parameter returns a validation error
- Empty or whitespace-only text may return low-confidence or neutral results
- Very long text strings may be truncated or rejected
- Payment failure (insufficient USDC balance or x402 auth error) blocks the call
- Non-English text may return lower accuracy or unexpected results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"score": 0.85,
"sentiment": "positive",
"confidence": 0.92
}
}Tags
x402
Reviews
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