DripMetrics AI – Average Trade Size is a paid API for AI agents from api.dripmetrics.ai, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-28).
Returns the average trade size (in base currency units) for a given trading pair on Binance or Coinbase over a rolling lookback window of 30m, 1h, 2h, or 3h.
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. Average Trade Size measures mean base-asset trade size over the specified lookback window. Discovery examples use the latest 30m window.
Returns a JSON object with the metric name ('average-trade-size'), the trading pair, exchange, lookback window, computed value (base currency units per trade), trade count, timestamps for the first and last trade observed, computation timestamp, and a coverage object indicating whether the full requested window was fetched, the effective window covered, and the coverage ratio (0–1).
GEThttps://api.dripmetrics.ai/metrics/average-trade-size?utm_source=zero.xyzChoose this endpoint when you need a real-time, rolling average trade size metric computed directly from raw exchange trade feeds for Binance or Coinbase. It is ideal for market microstructure analysis, sizing comparisons, or feeding trading algorithms that need fresh, precise aggregation over short windows (30m–3h). Prefer it over order-book snapshots or OHLCV candle data when you specifically need a trade-level size average rather than price-based metrics.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"pair": "BTC-USD",
"value": 0.601071,
"metric": "average-trade-size",
"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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