Carbon Cashmere Macro-Crypto Correlation 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 rolling 7-day and 30-day Pearson correlations between BTC and major macro assets (DXY, VIX, 10Y Treasury, Oil, Gold) with signal interpretation and macro regime classification.
Professional crypto market intelligence. Real-time prices, signals, and market scoring.
Returns a JSON object with the current BTC spot price, timestamp, latency, and per-asset correlation objects for DXY, VIX, TNX (10Y Treasury), CL (Crude Oil), and GC (Gold). Each asset entry includes its current price, 24h change, 7-day Pearson correlation, 30-day Pearson correlation, and a signal label (e.g. risk_on_together, diverging, unusual_positive). Also includes a top-level macro_regime string and metadata about the calculation methodology and data sources.
GEThttps://api.carbon-cashmere.de/v1/macro-correlationUse this endpoint when you need quantitative rolling Pearson correlations between BTC and traditional macro assets with pre-computed signal labels and regime classification. Prefer this over raw price feeds when you want interpreted cross-asset intelligence (risk-on/off, divergence signals) without doing your own correlation math. Ideal for macro-aware trading agents, risk monitoring dashboards, or any workflow that needs to understand whether BTC is behaving as a risk asset, a safe haven, or diverging from its historical macro relationships.
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"end_date": "2024-01-31",
"commodity": "cashmere",
"start_date": "2024-01-01",
"carbon_market": "EU_ETS"
}
}
}| Field | Type | Description |
|---|---|---|
| properties | string |
{
"meta": {
"method": "Pearson correlation on hourly-aligned snapshots",
"windows": [
"7d",
"30d"
],
"disclaimer": "Correlation is not causation. Keine Anlageberatung.",
"data_source": "market_data.prices (BTC) + market_data.macro_indicators (yfinance)",
"min_samples_7d": 10,
"min_samples_30d": 30
},
"btc_price": 77696,
"timestamp": "2026-04-24T04:33:13.039488+00:00",
"latency_ms": 359,
"correlations": {
"CL": {
"label": "Crude Oil (WTI)",
"price": 96.64,
"signal": "risk_on_together",
"change_24h": 3.3915,
"correlation_7d": 0.646,
"correlation_30d": -0.713
},
"GC": {
"label": "Gold",
"price": 4683.8999,
"signal": "diverging",
"change_24h": -1.171,
"correlation_7d": -0.445,
"correlation_30d": 0.59
},
"DXY": {
"label": "US Dollar Index",
"price": 98.864,
"signal": "unusual_positive",
"change_24h": 0.1773,
"correlation_7d": 0.528,
"correlation_30d": -0.888
},
"TNX": {
"label": "10Y Treasury Yield",
"price": null,
"signal": "yields_aligned",
"change_24h": null,
"correlation_7d": 0.477,
"correlation_30d": -0.604
},
"VIX": {
"label": "Volatility Index",
"price": null,
"signal": "fear_driven",
"change_24h": null,
"correlation_7d": 0.383,
"correlation_30d": -0.832
}
},
"macro_regime": "mixed",
"btc_change_24h": -0.14
}{
"type": "json",
"example": {
"btc_price": 84500,
"correlations": {
"DXY": {
"price": 104.2,
"signal": "inverse",
"correlation_7d": -0.65
},
"VIX": {
"price": 22.5,
"signal": "decoupled",
"correlation_7d": -0.45
}
},
"macro_regime": "mixed"
}
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