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Sentiment Analysis with Score, Emotions and Per-Aspect Sentiment
x402
Sentiment Analysis with Score, Emotions and Per-Aspect Sentiment is a paid API for AI agents from twin.unykorn.org, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-30).
Analyzes text to return an overall sentiment score, detected emotions, and per-aspect sentiment breakdowns
Price / call$0.003
Success—
StatusUnknown
How this service works
Sentiment analysis with score, emotions and per-aspect sentiment — Genesis402 / UnyKorn Operator Network
Output
Returns an overall sentiment score (e.g. numeric and/or label such as positive/negative/neutral), detected emotions (e.g. joy, anger, frustration, surprise), and per-aspect sentiment showing how different topics or features mentioned in the text are rated individually.
Example use cases
E-commerce product review triage
“Run sentiment analysis on this product review and tell me the score, the emotions expressed, and the per-aspect breakdown so I know exactly what customers love and hate: 'Great camera and sleek design, but the battery drains way too fast and shipping took forever.'”
Customer support ticket prioritization
“Analyze the sentiment and emotions in this support ticket so I can decide how urgently to escalate it: 'I have been waiting three weeks for a refund. Nobody responds to my emails. I am furious and will never use this service again.'”
Social media brand monitoring
“Check the sentiment, emotions, and per-aspect sentiment of this tweet about our brand: 'Love the new app design but the checkout flow is still a nightmare and prices went up again.'”
Technical details
Endpoint
POSThttps://twin.unykorn.org/ai/sentiment?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need not just a simple positive/negative label but a richer breakdown: a numeric sentiment score, multiple detected emotions, and aspect-level sentiment for distinct topics mentioned in the text. It is ideal for product review analysis, support ticket triage, and social media monitoring where understanding which specific aspects (price, quality, service) drive sentiment is more valuable than a single overall label.
Side effects
- Text exceeds 8,000 character limit — request rejected or truncated
- Empty or missing text field — validation error returned
- Ambiguous or very short text — low-confidence or neutral sentiment output
- Non-English text may produce degraded accuracy if multilingual support is limited
- Network or payment failure returns HTTP 402 or 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| params | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"type": "text-sentiment",
"receipt": {
"tx_hash": "0x<64hex>",
"amount_usd": 0.003,
"receipt_id": "g402-<16hex>"
},
"sources": [
{
"ok": true,
"name": "<source>"
}
],
"limitations": "<text>",
"generated_at": "<iso time>",
"evidence_hash": "sha256:<64hex>"
}
}Tags
x402
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