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Time-series forecasting: forecast any BigQuery table with Google's pretrained TimesFM model (AI.FORECAST), nothing to train.
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Time-series forecasting: forecast any BigQuery table with Google's pretrained TimesFM model (AI.FORECAST), nothing to train. Point it at the table, timestamp column and value column and get forecast rows with bounds for the horizon you set, per series with id_cols. Use it for sales, traffic, demand or metric forecasts. Input: table, timestamp_col, data_col; optional horizon, id_cols.Overview
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https://hubvibe-io.com/work/data/forecast
MCP server on this host: io.github.Its-fortunatefolly/hubvibe
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npx teppi-check https://hubvibe-io.com/work/data/forecastcurl -s https://api.teppi.xyz/v1/trust/cap_01M317X6W9W428NDEMAP305W27