Auto Model Selection — Learns Per Series

New

• New model=auto: per-series automatic model selection. A new identifier starts on the ensemble; as fresh actuals arrive for dates that were previously forecast, every model's prediction is scored against what actually happened. Once a single model has beaten every alternative — the ensemble included — by a clear margin across enough matured forecasts, that identifier is routed to it; while evidence is thin or the race is close, it stays on the ensemble. No configuration, no retuning: send data, and each series converges on its best model. Billed at the same 1.25× rate as the ensemble, whichever model it routes to.
• Every response to an auto request says exactly which model answered and why in model_info.auto_selection — the selected model, the reason, and the per-model accuracy scores the decision was made on. Routing is never a black box you have to trust.
• Ensemble requests now record each member model's individual forecast alongside the combined one, so per-series accuracy evidence accrues automatically from the ensemble traffic you already send — this is what powers auto. Member paths are bookkeeping only: they never appear in your dashboard, entity pages, or accuracy metrics.
• Available on /v2/forecast, /v2/batch/forecast (inline and file uploads, including per-series overrides), /v2/inventory-planning and /v2/traffic-forecasting — all four share one accuracy scorecard per identifier, so evidence gathered on one endpoint improves routing on the others. Grouped forecasts are the deliberate exception: a hierarchy is reconciled under one explicitly chosen model, so auto is rejected there rather than silently ignored.

Improved

• Batch and grouped billing now applies the documented model multiplier per series, honoring per-series model overrides. Previously every batch series billed at the standard rate regardless of the model that ran — advanced and ensemble batches were undercharged relative to the documented 1.25× rate, and that inconsistency is now closed.
• Per-series model values in batches are now validated on both the inline and file-upload paths. An unrecognized value previously forecast silently as standard; it is now rejected with a clear error naming the series.
• Updated Model Options documentation covering auto, and the inventory-planning and traffic-forecasting references now document their model choices precisely.