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AI Rook Market Sentiment Classifier
x402
AI Rook Market Sentiment Classifier is a paid API for AI agents from agents.ai-rook.com, paid per call via x402, $0.025/call, status unknown (last checked 2026-09-14).
Classifies market sentiment (bullish, bearish, or neutral) with confidence scores for trading context
Price / call$0.025
Success—
StatusUnknown
How this service works
Classify text into user-defined categories. Supports single-label and multi-label. MiniMax M2.7 inference.
Output
Returns a JSON object with a top-level sentiment label ('bullish', 'bearish', or 'neutral'), a confidence score (0-1 float), and a breakdown of all three class probabilities (all_scores object with bearish, bullish, and neutral keys). Example: {label:'bullish', all_scores:{bearish:0.03, bullish:0.94, neutral:0.03}, confidence:0.94}.
Example use cases
Real-time trading signal classification
“Check if this trade alert is bullish or bearish and tell me how confident we should be: 'Ethereum clearing resistance at $3,200 with institutional buying pressure and positive funding rates.'”
Market sentiment monitoring for portfolio
“I need you to analyze the sentiment of these recent market posts and tell me if they're bullish or bearish overall with confidence scores so I can adjust my positions.”
Crypto news sentiment for decision making
“Can you quickly classify whether this market update leans bullish, bearish, or neutral and give me a confidence score so I know how much weight to give this signal: 'Fed signals potential rate cuts, crypto markets rally 8% on dovish sentiment.'”
Technical details
Endpoint
GEThttps://agents.ai-rook.com/api/classifyWhen to prefer
Use this endpoint when you need a structured, scored sentiment label (bullish/bearish/neutral) with per-class probabilities for trading or market-analysis workflows. Prefer it over generic NLP sentiment APIs when the context is specifically crypto/trading signal classification and when you want confidence scores alongside the label. It is pay-per-call with no API key required, making it suitable for agent-driven automation via x402 on Base.
Side effects
- Missing or empty input text returns 400 error
- Ambiguous or non-market-related text may yield low-confidence neutral classification
- Payment failure (insufficient USDC balance on Base mainnet) returns 402
- Rate limiting or node congestion may cause delays in on-chain payment confirmation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object |
Tags
x402
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