Strava is a platform that allows athletes to track their activities and performance metrics. With Relevance AI, you can harness this data to create powerful AI-driven insights and automations that enhance your athletic experience.
Strava provides detailed insights into athletic performance and activities. Relevance AI enhances this by integrating intelligent AI Agents that can analyze and act on this data, driving smarter decisions and automations.
Performance Pattern Recognition
Agent analyzes historical activity data to identify optimal training patterns and performance trends for predictive insights
Real-time Workout Orchestration
Dynamically adjusts and optimizes training recommendations based on live activity data and performance metrics
Adaptive Training Intelligence
Continuously learns from athlete performance data to refine and personalize training strategies
Relevance AI enables you to leverage Strava's athlete data and activities within your AI-driven workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- A Strava account with access to your activities and profile data
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Strava integration in Relevance AI allows developers to seamlessly interact with Strava's athlete data and activities. This integration enables you to programmatically manage activities, fetch athlete statistics, and analyze workout data through a simplified API interface.
Key benefits include streamlined OAuth authentication, pre-built endpoints for common Strava operations, simplified activity management and tracking, and comprehensive athlete statistics access.
To get started, ensure you have a Relevance AI account, a Strava account with API access, and your Strava OAuth credentials (Client ID and Client Secret). Make sure your system meets the requirements, including Node.js 12.x or higher and HTTPS support for OAuth callbacks.
Installation is straightforward: simply install the Relevance AI SDK using npm install relevanceai, configure your OAuth credentials, and initialize the Strava client. You can then fetch athlete activities, create new activities, and get athlete stats with ease.
For troubleshooting, common issues include authentication errors, rate limiting, activity creation failures, and data format issues. Always handle API responses with try-catch blocks, implement proper error logging, and use built-in validation to ensure your workflows run smoothly.
For additional support or specific issues, consult the full API documentation or contact Relevance AI support.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
To get the most out of the Strava + Relevance AI integration without writing code:
- Start with a clear Strava account: Ensure your account is set up with the necessary permissions and valid OAuth credentials.
- Use pre-built endpoints: Leverage the available endpoints for common operations like fetching activities and athlete stats to streamline your workflow.
- Connect carefully: Double-check your OAuth credentials and account ID during setup to avoid authentication issues.
- Test before scaling: Run your API calls with test data to ensure everything works as expected before applying it to real data.
- Monitor rate limits: Be mindful of Strava's API rate limits and implement caching or batching strategies to optimize your requests.
