Get statistics for the authenticated athlete. Returns a formatted string with recent and all-time stats.

List recent activities for the authenticated athlete.

Args: limit: Number of activities to return (default 5)

Search activities with optional filters. Note: Name/description search is client-side, so a reasonable limit is recommended.

Args: query: Search term to match in activity name (case-insensitive, partial match) activity_type: Filter by activity type (e.g., "Run", "Ride", "Walk", "Hike") after: ISO 8601 date string (e.g., "2025-01-01") - activities after this date before: ISO 8601 date string (e.g., "2026-01-01") - activities before this date min_distance: Minimum distance in meters max_distance: Maximum distance in meters limit: Maximum number of activities to fetch from API (default 50)

Get detailed information for a specific activity.

Args: activity_id: The ID of the activity to retrieve

Get lap breakdowns for a specific activity.

Args: activity_id: The ID of the activity to retrieve laps for

Get raw stream data (GPS, HR, power, etc.) for a specific activity.

Args: activity_id: The ID of the activity to retrieve streams for types: List of stream types to fetch. Options: time, latlng, distance, altitude, velocity_smooth, heartrate, cadence, watts, temp, moving, grade_smooth. If None, all available streams will be returned. resolution: Data point resolution - 'low' (100 points), 'medium' (1000 points), 'high' (10000 points), or None (all points)

Execute Python code to analyze Strava data safely using Monty.

Args: code: Python code to execute. The data is available as a variable named 'data'. Example: "sum(activity['distance'] for activity in data) / 1000" data: The data to analyze (e.g. list of activities, athlete stats). Can be passed as a JSON object (list/dict) or a JSON string.