DripMetrics Buy-Sell Volume Imbalance is a paid API for AI agents from api.dripmetrics.ai, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Returns a normalized buy-vs-sell volume imbalance ratio for a crypto trading pair over a specified lookback window
DripMetricsAI (api description at https://dripmetrics.ai/) provides on-demand market microstructure and risk metrics for agents and developers. Agents can pay per request via x402 and receive structured JSON metrics without subscriptions or API keys. Buy-Sell Volume Imbalance measures net buy versus sell volume as a normalized ratio. Discovery examples use the latest 30m window.
A JSON object containing the metric name, trading pair, exchange, lookback window (e.g. '1h'), the normalized buy-sell imbalance value, computation timestamp, trade count, first and last trade timestamps, component breakdown values, and a coverage object showing requested vs effective window minutes, coverage ratio, and whether data was partial or complete.
GEThttps://api.dripmetrics.ai/metrics/buy-sell-volume-imbalanceUse this endpoint when you need a real-time, normalized measure of net buying versus selling pressure for a specific crypto pair on Binance or Coinbase. It is ideal for agents building trading signals, monitoring order flow imbalances, or assessing short-term directional pressure without needing a full exchange connection. Prefer this over raw trade data endpoints when you want a precomputed, structured ratio with coverage metadata included.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"pair": "BTC-USD",
"value": 0.143218,
"metric": "buy-sell-volume-imbalance",
"window": "30m",
"coverage": {
"partialData": false,
"errorMessage": null,
"completeFetch": true,
"coverageRatio": 1,
"effectiveWindowMinutes": 30,
"requestedWindowMinutes": 30
},
"exchange": "coinbase",
"components": {},
"computedAt": "2026-05-23T14:00:00.000Z",
"tradeCount": 428,
"lastTradeTime": "2026-05-23T13:59:58.000Z",
"firstTradeTime": "2026-05-23T13:00:02.000Z"
}
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