Training planning and analysis for endurance sports - Tredict

# Tredict > GDPR-compliant endurance sports training planning and activity analysis platform for runners, cyclists, and triathletes. Supports integration with Garmin, Coros, Polar, Strava, and other devices, and offers a REST API for personal use through Personal Access Tokens. The guides under "Consumer Skills" are written for athletes and coaches who want to script against the Tredict API directly. They focus on the Personal Access Token flow, which is the simplest path for individual users, but everything also applies to OAuth2 applications since the endpoints and data structures are identical. The examples are language-agnostic and use curl plus pseudocode, so they translate into Python, JavaScript, Bash, or any other language. ## API Reference - [Full API reference](https://www.tredict.com/llms-full.txt): Complete endpoint documentation with all parameters, scopes, response shapes, and OAuth2 details. ## Consumer Skills - [Setup and getting started](https://www.tredict.com/skills/setup.md): Personal Access Token, authentication, scopes, first call. - [Structured workouts](https://www.tredict.com/skills/workouts.md): Build workouts and training plans with steps, repetitions, and target zones (range vs. padding, FTPa, FTP, hrMax). - [Activities](https://www.tredict.com/skills/activities.md): List, fetch, upload, update, and download activities. Unit conventions and time series. - [Health data](https://www.tredict.com/skills/health-data.md): Body values, capacities, zones, HRV, sleep. Read and write where supported. ## Further Reading for Humans - [OAuth2 API documentation](https://www.tredict.com/blog/oauth_docs/): Integration guide for third-party app developers using OAuth2. - [MCP Server documentation](https://www.tredict.com/blog/mcp_server_docs/): Setup and usage of the Tredict MCP Server with AI assistants. ## Optional - [Tredict MCP Server](https://www.tredict.com/api/mcp/v2): For users who prefer not to script themselves, Tredict provides a Mode