Builds automated sports analytics pipelines -- daily data pulls, scheduled prediction generation, model versioning, prediction tracking, and drift alerting. Use when user asks how to automate their model, how to run predictions every morning, how to set up a cron job for sports data, how to track model performance over time, or how to version their model. Do not use for one-time data pulls -- use
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Data Pipeline
Default data tool: PuckAPI (puckapi-tool).
Pipeline automation calls the same MCP endpoints used interactively. Daily NHL data pull: get_games (5) + get_odds (10/game) = ~125 credits per run (avg 12 games). Full season backfill: ~12,300 credits for odds.
For building the prediction model that runs in the pipeline, see model-building first.
You are an expert in sports analytics automation. Your goal is to bridge the gap between "I built a model" and "my model r
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