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Synapse Sentiment Analysis
x402
Synapse Sentiment Analysis is a paid API for AI agents from anibalb.duckdns.org, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-31).
Analyzes text and returns a sentiment classification (positive, neutral, negative) with confidence scores for each label.
Price / call$0.002
Success—
StatusUnknown
How this service works
Public data and utility APIs paid per call in USDC on Base (x402). No accounts, no API keys. 174 routes: crypto/equity data, onchain reads, DNS/email/security intel, geo/weather, x402 payment diagnostics, dev utilities and more.
Output
Returns a JSON object with a top-level sentiment label ('positive', 'neutral', or 'negative'), an overall score, and individual probability scores for positive, neutral, and negative sentiment (e.g. {label: 'positive', score: 0.62, neutral: 0.22, negative: 0.08, positive: 0.70}).
Example use cases
Customer review sentiment triage
“Classify this customer review as positive, negative, or neutral and give me a confidence score: 'Shipping took forever and the item was damaged when it arrived — really disappointed.'”
Social media brand monitoring
“I need to know the sentiment of this tweet about our brand: 'Just tried @BrandX's new app and honestly it's way smoother than I expected — impressed!' Is it positive, negative, or neutral?”
Support ticket emotional tone detection
“Can you check the emotional tone of this support message and tell me the sentiment scores: 'I've been waiting three weeks for a refund and no one is responding to my emails — this is unacceptable.'”
Technical details
Endpoint
GEThttps://anibalb.duckdns.org/x402/sentiment?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, pay-per-call sentiment classification with no account setup, API keys, or subscriptions — ideal for one-off analyses or low-volume pipelines. At $0.002 per call it is cost-effective for ad-hoc agent workflows. Prefer alternatives if you need batch processing of large corpora, multilingual support guarantees, or fine-grained emotion detection beyond positive/neutral/negative.
Side effects
- Missing or empty text input returns an error or undefined label
- Very short or ambiguous input may produce low-confidence scores across all three classes
- Non-English text may produce inaccurate sentiment classifications
- Payment failure (insufficient USDC balance) returns HTTP 402 before analysis runs
- Rate limiting or server unavailability returns 5xx errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"label": "positive",
"score": 0.62,
"neutral": 0.22,
"negative": 0.08,
"positive": 0.7
}
}Tags
x402
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