DripMetrics AI Historical Volatility is a paid API for AI agents from api.dripmetrics.ai, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Returns annualized realized volatility for a Hyperliquid market computed from 1-minute candle data over the latest 30-minute or 1-hour window
DripMetricsAI (https://dripmetrics.ai/) provides on-demand crypto market microstructure metrics, Hyperliquid candle metrics, Polymarket diagnostics, and on-chain DefiLlama metrics for agents, dashboards, and trading workflows.
A structured JSON object containing the annualized realized volatility estimate for the specified Hyperliquid market, derived from 1-minute public candle snapshots over either a 30-minute or 1-hour lookback window. The response includes the computed volatility figure as a numerical value suitable for quantitative use cases.
POSThttps://api.dripmetrics.ai/hyperliquid/historical-volatilityUse this endpoint when you need on-demand, pay-per-use annualized realized volatility for a specific Hyperliquid perpetual market without requiring a subscription or API key. Ideal for agents that need short-window (30m or 1h) volatility estimates for position sizing, risk management, or market regime detection. Prefer this over broader market data APIs when you specifically need candle-derived microstructure metrics from Hyperliquid and want to pay only per request via x402.
{
"pair": "BTC",
"window": "1h"
}{
"pair": "BTC",
"value": 0.351333,
"metric": "historical-volatility",
"source": {
"candles": "https://api.hyperliquid.xyz/info"
},
"window": "1h",
"interval": "1m",
"components": {
"intervals": 60,
"intervalsPerYear": 525600,
"intervalVolatility": 0.00048461
},
"computedAt": "2026-06-09T04:32:02.857Z",
"sampleSize": {
"candles": 61
},
"lastCandleTime": "2026-06-09T04:32:59.999Z",
"firstCandleTime": "2026-06-09T03:32:00.000Z"
}{
"type": "json",
"example": {
"pair": "BTC",
"value": 0.734214,
"metric": "historical-volatility",
"source": {
"candles": "https://api.hyperliquid.xyz/info"
},
"window": "30m",
"interval": "1m",
"components": {
"intervals": 29,
"intervalsPerYear": 525600,
"intervalVolatility": 0.00313924
},
"computedAt": "2026-05-29T16:00:00.000Z",
"sampleSize": {
"candles": 30
},
"lastCandleTime": "2026-05-29T15:59:59.999Z",
"firstCandleTime": "2026-05-29T15:30:00.000Z"
}
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