get_dataset_stats
Get statistics about available causal training data: total tuples, unique creatives, venue diversity, date range.
Queries observation_stream for rows that have both a creative ID and a VAS outcome recorded, giving a picture of how much training data is available for the causal prediction engine.
WHEN TO USE:
Checking if enough data exists for reliable causal predictions
Understanding the diversity of training data (creatives, venues, time range)
Monitoring causal dataset health and growth
Planning data collection strategies
RETURNS:
data: Dataset statistics
total_tuples: number of context-action-outcome records
unique_creatives: number of distinct creatives with VAS data
unique_venue_types: number of distinct venue types represented
date_range: { start, end } of available data
observations_per_creative: { min, max, mean, median } distribution
metadata: { query_window_days }
suggested_next_queries: Follow-up queries
EXAMPLE: User: "How much causal training data do we have?" get_dataset_stats({})
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||