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Carbon Cashmere Market Regime History API
x402
Carbon Cashmere Market Regime History API is a paid API for AI agents from api.carbon-cashmere.de, paid per call via x402, $0.02/call, status down (last checked 2026-09-14).
Returns a time series of market regime classifications (accumulation, markup, distribution, markdown, high_volatility, crisis) with snapshot history and transition events for crypto markets
Price / call$0.02
Success—
StatusDown
How this service works
Professional crypto market intelligence. Real-time prices, signals, and market scoring.
Output
Returns current_regime label (one of accumulation, markup, distribution, markdown, high_volatility, crisis), a time series of 15-minute regime snapshots over the requested window, distribution_pct showing how much time was spent in each regime, and optionally a compact list of transition events when transitions_only=true is used.
Example use cases
Detect crisis or high volatility regime
“Is crypto currently in a crisis or high volatility regime? I want to know right away so I can decide whether to reduce my exposure or hold off on new positions.”
Backtest strategy against historical regimes
“Can you pull the regime history for the last 90 days and tell me what percentage of that time was spent in accumulation, markup, distribution, and markdown phases? I want to backtest my trend-following strategy against those macro regimes.”
Track regime transitions for strategy switching
“Give me a compact feed of all the regime transition events over the past two weeks — I need to know exactly when the market shifted between phases so I can tune my strategy switching rules.”
Technical details
Endpoint
GEThttps://api.carbon-cashmere.de/v1/history/regimeWhen to prefer
Use this endpoint when you need structured, ML-derived market regime classifications over time rather than raw price or indicator data. Ideal for regime-aware strategy switching, macro-regime backtesting, and market-structure monitoring. Prefer over generic price feeds when you need categorical regime labels (accumulation through crisis) and transition calendars with percentage breakdowns.
Side effects
- Invalid days parameter (outside 1-90 range) returns error
- Missing or malformed query parameters return 400-level errors
- Payment not provided or insufficient USDC (x402 payment required at $0.02 per call)
- Downstream ML detector outage may cause stale or empty series
- Rate limiting if called too frequently without proper payment headers
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"days": 30,
"samples": 2880,
"current_regime": "markup",
"distribution_pct": {
"markup": 35.2,
"markdown": 7.8,
"accumulation": 16.5,
"distribution": 22.1,
"high_volatility": 18.4
}
}
}Tags
x402
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