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Relaystation Sentiment Analysis
x402
Relaystation Sentiment Analysis is a paid API for AI agents from api.relaystation.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Classifies text as positive, negative, or neutral sentiment using LLM-grade accuracy at a fraction of the cost
Price / call$0.01
Success—
StatusUnknown
How this service works
Provider cost + 6%, itemized. Score text positive / negative / neutral — reviews, tickets, social. ≈Opus-4.8 accuracy at ~1–5% of its cost. 1¢ x402 min; remainder auto-credits — relaystation.ai/penny
Output
Returns a sentiment classification (positive, negative, or neutral) for the input text, with LLM-grade accuracy comparable to Claude Opus at roughly 1–5% of its cost. May include a confidence score or reasoning depending on the response schema.
Example use cases
Customer review sentiment triage
“Score this product review as positive, negative, or neutral so I can route it to the right team: 'Great build quality but the app crashes every time I switch accounts.'”
Support ticket mood detection
“Analyze the sentiment of this support ticket and tell me if it's positive, negative, or neutral: 'I've been waiting three days for a response and nobody has followed up — this is unacceptable.'”
Social media brand monitoring
“Check the sentiment of these three tweets about our launch and classify each as positive, negative, or neutral so I can flag the negative ones for a response.”
Technical details
Endpoint
POSThttps://api.relaystation.ai/v1/llm/sentimentWhen to prefer
Choose this endpoint when you need high-accuracy sentiment classification (close to Opus-level) at very low per-call cost — especially for high-volume pipelines like review triage, ticket routing, or social monitoring. It is more cost-effective than calling a frontier model directly for sentiment alone, and simpler than building a custom classifier.
Side effects
- Empty or missing text input returns validation error
- Text too long for context window may be truncated or rejected
- Ambiguous or mixed-sentiment text may yield low-confidence classification
- Network timeout on high-load periods
- Insufficient x402 payment balance returns payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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