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AgentRXI Sentiment & Tone Classifier
x402
AgentRXI Sentiment & Tone Classifier is a paid API for AI agents from agentrxi.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-15).
Classifies up to 20 texts per call into positive, negative, or neutral sentiment with a confidence score and a one-line reason for each result.
Price / call$0.003
Success—
StatusUnknown
How this service works
Sentiment and tone classification for text (positive / negative / neutral with confidence, plus a one-line reason). Batch up to 20 texts per call. Also callable as GET with the same fields as query parameters.
Output
Returns a sentiment label (positive, negative, or neutral), a confidence score (0–1), and a brief one-line reason for each input text submitted in the batch.
Example use cases
Customer review sentiment triage
“I have a batch of product reviews I need classified — can you tell me which are positive, negative, or neutral, and give me a confidence score for each? Here they are: 'Great quality!' | 'Arrived damaged' | 'Decent but overpriced' | 'Fast shipping, love it' | 'Would not recommend'”
Social media brand monitoring
“Run sentiment analysis on these five tweets mentioning our brand and give me the tone and confidence for each: 'Your app crashes constantly' | 'Just tried the new feature, it's amazing!' | 'Support team was helpful' | 'Meh, expected more' | 'Worst purchase of the year'”
Support ticket urgency detection
“Can you analyze the tone of this support message and tell me if it's positive, negative, or neutral, and how confident you are? The message is: 'I've been waiting three weeks for a refund and nobody has responded to me.'”
Technical details
Endpoint
GEThttps://agentrxi.com/v1/sentiment?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, per-call sentiment classification with a confidence score and human-readable reason, especially in a pay-per-call context with no subscription overhead. Supports batch processing of up to 20 texts per call, making it efficient for small-to-medium batch jobs. Prefer it over heavier NLP pipelines when you need quick tone detection without setting up your own model infrastructure.
Side effects
- Missing required 'texts' query parameter returns an error
- Submitting more than 20 texts in a single call may be rejected or truncated
- Malformed pipe-separated input may cause parse errors
- Empty string inputs may return low-confidence or error results
- Payment failure (insufficient USDC) results in 402 response blocking the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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