Forecast, predict or project one or more numeric time series (sales, demand, traffic, load, prices, metrics, sensor data) with prediction intervals, using Ephemeris' panel of zero-shot foundation models. Mode ensemble is the most accurate: it is level with the top of the TIME benchmark and scores better on GIFT-Eval than any single model in the panel. Returns structured JSON: forecasts (one entry per input series, quantile-keyed arrays) and meta with the request id, models used, the served weight revision per model, and the credits charged and remaining. Spends credits on every successful call.

Discover the model panel: each model's availability right now (healthy), capabilities (multivariate, covariates, max_horizon, auto_max_horizon), its weight in an ensemble at each horizon, pinned and actually served weight revision, price per thousand series-slots in millicredits and maximum billable context. Call this before using forecast in explicit mode; the deployed panel can differ from any documentation.

Return the account's spendable credit balance in millicredits, excluding credits reserved by in-progress forecasts. 1000 millicredits equal one credit.

Return the account's forecast request log, newest first, with the mode, models used, series count, horizon, credits estimated and settled, HTTP status and latency of each request.