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klymax402 Sentiment Analyzer
x402
klymax402 Sentiment Analyzer is a paid API for AI agents from klymax402.com, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-14).
Analyzes text for sentiment polarity, emotional content, and confidence score
Price / call$0.015
Success—
StatusUnknown
How this service works
One MCP endpoint gives your AI agent access to 100 APIs -- crypto, DeFi, web, AI, finance and utilities. No API keys, USDC on Base from $0.003/call.
Output
Returns a JSON object containing the original text, a numeric sentiment score, a sentiment label (e.g. positive/negative/neutral), a breakdown of detected emotions as key-value pairs, and a confidence value between 0 and 1 indicating how certain the model is in its classification.
Example use cases
Customer review sentiment triage
“Analyze the sentiment of this product review for me and tell me if it's positive, negative, or neutral along with the confidence score: 'Great battery life but the screen is disappointingly dim compared to the price.'”
Social media post mood check
“What's the emotional tone and sentiment of this tweet? 'Just got off a 3-hour call and honestly feeling completely drained — not sure how much longer I can keep this up.' I want to see the emotions and confidence too.”
Support ticket urgency detection
“Run sentiment analysis on this support message so I know how upset the customer is: 'I have been waiting THREE weeks for a replacement and nobody is responding to my emails. This is absolutely unacceptable.'”
Technical details
Endpoint
GEThttps://klymax402.com/api/sentiment-analyzer/api/analyzeWhen to prefer
Choose this endpoint when you need a quick, pay-per-call sentiment classification with emotion breakdown and confidence scoring, without managing API keys or monthly subscriptions. It is well-suited for AI agents that occasionally need sentiment signals across diverse text types (reviews, social posts, support tickets) and want a single MCP-accessible endpoint with USDC micropayments on Base at $0.015 per call.
Side effects
- Empty or missing text parameter returns an error or undefined behavior
- Very short or ambiguous text may yield low confidence scores
- Non-English text may produce inaccurate sentiment or emotion labels
- Extremely long text inputs may be truncated or cause timeout
- Sarcasm or irony may be misclassified as positive sentiment
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | The text to analyze for sentiment |
Output
Schema · Response
{
"type": "json",
"example": {
"text": "example",
"score": 1,
"emotions": {},
"sentiment": "example",
"confidence": 1
}
}Tags
x402
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