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Carbon Cashmere Per-Coin ML Feature Vector
x402
Carbon Cashmere Per-Coin ML Feature Vector is a paid API for AI agents from api.carbon-cashmere.de, paid per call via x402, $0.01/call, status down (last checked 2026-09-15).
Returns a 46-field ML feature vector for a specified cryptocurrency, including price returns, volatility, volume, RSI/MACD, Fear & Greed index, funding rates, open interest, options data, orderbook microstructure, and on-chain signals — with a 6-hour delay.
Price / call$0.01
Success—
StatusDown
How this service works
Per-coin ML feature vector (46 fields, 6h-delayed) — price returns, volatility, volume, RSI/MACD, Fear & Greed, funding, OI, options, orderbook, on-chain (whale, mempool). Standard TA + market microstructure. AI agent API for feature engineering and research.
Output
A JSON object containing 46 ML-ready feature fields for the requested coin: price return metrics, realized and implied volatility, volume statistics, RSI and MACD values, Fear & Greed index score, perpetual funding rates, open interest, options market data, L2 orderbook bid/ask imbalance and spread, on-chain whale flow, and mempool signals. Data is sourced from standard technical analysis plus market microstructure and is delayed by 6 hours.
Example use cases
Train crypto price prediction model
“Grab me the complete ML feature vector for Ethereum from Carbon Cashmere — I want the RSI, MACD, volatility, funding rate, open interest, and whale flow signals all in one shot so I can plug them straight into my XGBoost price prediction pipeline.”
Backtest algo strategy with microstructure
“Pull the 46-field feature vector for Solana from Carbon Cashmere, including the orderbook bid/ask imbalance, spread, funding rates, and open interest — I'm running a backtesting study and need a standardized feature set without building my own data pipeline from scratch.”
Research sentiment and on-chain features
“Fetch the full Carbon Cashmere feature vector for Dogecoin — I specifically need the Fear and Greed index score alongside the mempool signals and whale flow data so I can analyze how on-chain sentiment features correlate with short-term price moves in my research notebook.”
Technical details
Endpoint
GEThttps://api.carbon-cashmere.de/v1/features/:coinWhen to prefer
Prefer this endpoint when you need a comprehensive, pre-computed ML feature vector for a single cryptocurrency that spans technical analysis, market microstructure, and on-chain signals in one call. Ideal for feature engineering pipelines, backtesting, and training supervised ML models where 6-hour latency is acceptable. Use over building your own feature pipeline when you want a standardized 46-field representation covering RSI/MACD, funding, OI, whale activity, and mempool in a single request.
Side effects
- Unsupported coin ticker returns 404 or empty result
- 6-hour data delay means real-time signals are not available
- Payment failure via x402 protocol results in 402 response
- Coin with insufficient liquidity may have missing or null fields for options/orderbook features
- Rate limiting or quota exceeded returns 429 error
Tags
x402
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