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DripMetrics AI Hyperliquid Vol-of-Vol
x402
DripMetrics AI Hyperliquid Vol-of-Vol is a paid API for AI agents from api.dripmetrics.ai, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).
Computes the volatility-of-volatility (vol-of-vol) for a Hyperliquid trading pair by analyzing rolling standard deviation of short-term realized volatility over a specified time window.
Price / call$0.05
Success—
StatusUnknown
How this service works
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.
Output
Returns a JSON object with the computed vol-of-vol scalar value for the requested pair, the time window and interval used, the number of candle observations and rolling window size, the mean rolling volatility, the data source URL, and the timestamps of the first and last candles included in the computation.
Example use cases
Volatility regime detection for algo trading
“Check the vol-of-vol for ETH on Hyperliquid over the past hour using 1-minute candles — I need to know if volatility is stable or chaotic before I run my strategy.”
Risk dashboard second-order metric
“Pull the vol-of-vol for BTC on Hyperliquid for the last 30 minutes so I can display volatility stability on my trading dashboard alongside realized vol.”
Options pricing regime filter
“Give me the current vol-of-vol for SOL on Hyperliquid using a 30-minute window and 1-minute intervals — I want to decide whether to adjust my options delta hedge based on how jumpy vol has been.”
Technical details
Endpoint
POSThttps://api.dripmetrics.ai/hyperliquid/vol-of-volWhen to prefer
Choose this endpoint when you need a second-order volatility metric specifically for Hyperliquid perpetual markets — measuring how much the realized volatility itself is fluctuating. Ideal for volatility regime classification, options strategy filtering, risk dashboards, or any workflow that needs to distinguish stable-vol from jumpy-vol environments on Hyperliquid rather than just measuring raw price volatility.
Side effects
- Unsupported trading pair symbol returns an error or empty data
- Hyperliquid candle API downtime causes upstream data fetch failure
- Insufficient candle history for the requested window returns reduced sample size or error
- Invalid window or interval parameter values cause a 400-level error
- Network timeout from Hyperliquid data source
Output
Schema · Response
{
"type": "json",
"example": {
"pair": "BTC",
"value": 0.00113579,
"metric": "vol-of-vol",
"source": {
"candles": "https://api.hyperliquid.xyz/info"
},
"window": "30m",
"interval": "1m",
"components": {
"observations": 25,
"rollingWindow": 5,
"meanRollingVol": 0.00681243
},
"computedAt": "2026-05-29T16:00:00.000Z",
"sampleSize": {
"candles": 30
},
"lastCandleTime": "2026-05-29T15:59:59.999Z",
"firstCandleTime": "2026-05-29T15:30:00.000Z"
}
}Tags
x402
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