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NetIntel Sentiment Analysis
x402
NetIntel Sentiment Analysis is a paid API for AI agents from netintel-production-440c.up.railway.app, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Analyzes text to produce a multi-aspect sentiment score with emotional classification, polarity, and confidence rating
Price / call$0.002
Success—
StatusUnknown
How this service works
Analyze the sentiment of text using Claude Haiku — returns overall polarity (positive/negative/neutral/mixed), a -1 to +1 score, detected emotions, and optional per-aspect sentiment, so agents can gauge tone in reviews, messages, and feedback in one call.
Output
Returns a letter grade (e.g. A), an overall numeric sentiment score, per-aspect scores with polarity labels (e.g. food: 0.9 positive, price: -0.4 negative), a list of detected emotions (e.g. joy, trust), an overall polarity label (positive/negative/mixed), a confidence score (0–1), and a service_score integer.
Example use cases
Example prompt
“Can you analyze the sentiment of this restaurant review and break it down by aspect — food, price, and service — and tell me the overall grade and how confident you are: 'The pasta was absolutely delicious and the staff were lovely, but the prices are way too high for what you get.'”
Technical details
Endpoint
POSThttps://netintel-production-440c.up.railway.app/sentiment/analyzeWhen to prefer
Choose this endpoint when you need fine-grained, aspect-level sentiment breakdown with emotional classification and a confidence score in a single call — especially for review-style text where multiple dimensions (food, service, price) matter. Prefer over simpler positive/negative classifiers when you need graded output, emotion labels, and polarity nuance.
Side effects
- Empty or missing text input returns 400 bad request
- Text too long may be truncated or rejected
- Ambiguous or very short text may yield low confidence score
- Non-English text may produce unreliable results
- Payment failure (x402) blocks the call entirely
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"grade": "A",
"score": 0.2,
"aspects": {
"food": {
"score": 0.9,
"polarity": "positive"
},
"price": {
"score": -0.4,
"polarity": "negative"
},
"service": {
"score": 0.8,
"polarity": "positive"
}
},
"emotions": [
"joy",
"trust"
],
"findings": [],
"polarity": "mixed",
"confidence": 0.86,
"service_score": 100
}
}Tags
x402
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Zero review prompt (fires after every successful call)
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