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AsterPay Sentiment Analysis
x402
AsterPay Sentiment Analysis is a paid API for AI agents from x402.asterpay.io, paid per call via x402, $0.004/call, status unknown (last checked 2026-09-14).
Analyzes the sentiment of a text input and returns a positive/negative/neutral classification with a numeric score and optional emotion breakdown.
Price / call$0.004
Success—
StatusUnknown
How this service works
Analyze sentiment of text. Returns positive/negative/neutral score.
Output
Returns a JSON object with a `sentiment` field (enum: positive, negative, neutral), a `score` number between -1 and 1 indicating sentiment polarity, a `confidence` number between 0 and 1, and optionally an `emotions` object with fine-grained emotion scores (e.g. joy, trust, surprise).
Example use cases
Customer review sentiment triage
“Classify this customer review as positive, negative, or neutral and tell me how confident you are: 'The product looks great but it broke after two days and support never got back to me.'”
Social media brand monitoring
“Analyze the sentiment of this tweet about our product launch: 'Just tried the new update — honestly blown away, this is exactly what I needed!' Is it positive, negative, or neutral?”
Support ticket prioritization
“Check the sentiment of this incoming support message so I know how urgently to escalate it: 'I've been waiting three weeks for a refund and nobody is responding to my emails. This is completely unacceptable.'”
Technical details
Endpoint
POSThttps://x402.asterpay.io/v1/ai/sentimentWhen to prefer
Choose this endpoint when you need a fast, pay-per-call sentiment classification with a numeric polarity score and optional emotion breakdown, especially in agentic workflows where you want micropayment-native (x402/USDC) billing without managing API keys or subscriptions. Prefer it over free-tier alternatives when running in automated pipelines that benefit from per-call pricing and on-chain payment auditability.
Side effects
- Empty or missing `text` field returns a validation error
- Extremely long text inputs may be truncated or rejected
- Non-English text may reduce confidence scores significantly
- Payment failure via x402 (insufficient USDC balance) blocks the request
- Ambiguous or sarcastic text may produce low confidence scores with uncertain sentiment labels
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"schema": {
"type": "object",
"required": [
"sentiment",
"score"
],
"properties": {
"score": {
"type": "number",
"maximum": 1,
"minimum": -1
},
"sentiment": {
"enum": [
"positive",
"negative",
"neutral"
],
"type": "string"
},
"confidence": {
"type": "number",
"maximum": 1,
"minimum": 0
}
}
},
"example": {
"score": 0.85,
"emotions": {
"joy": 0.7,
"trust": 0.6,
"surprise": 0.2
},
"sentiment": "positive",
"confidence": 0.92
}
}Tags
x402
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