Integrations

Supercharge Google Fit with Relevance AI

Google Fit is a health-tracking platform that aggregates data from various fitness and health applications and devices.

Enhance your health data with AI agents that can analyze patterns, provide personalized recommendations, and automate wellness initiatives.

Give your AI Agents Google Fit Superpowers

Google Fit aggregates health and fitness data from multiple sources into a unified platform. Relevance AI transforms this data into intelligent actions through AI agents that can analyze patterns and deliver personalized health insights.

Personalized Health Insights

The agent analyzes user data to deliver tailored health recommendations.

Proactive Engagement

Utilizes real-time data to encourage users to stay active and healthy.

Enhanced User Motivation

Provides goal-oriented feedback to inspire users to achieve their fitness targets.

Tools

Equip AI Agents with the Google Fit Tools they need

Relevance AI gives you access to Google Fit's health and activity tracking capabilities within your AI-powered workflows.

Security & Reliability

The integration leverages secure OAuth authentication with Google Fit, managing fitness data access through authorized API endpoints. Relevance AI handles data synchronization and API operations seamlessly, converting activity metrics and health data into standardized formats while maintaining strict privacy controls.

Built-in data validation ensures accurate fitness tracking and health metrics across all connected Google Fit workflows.

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 Google Fit + Relevance AI integration without writing code:
  • Set up proper OAuth: Ensure Google Fit API access is correctly configured with appropriate scopes.
  • Structure your data: Use consistent formats for fitness metrics and timestamps.
  • Optimize requests: Batch fitness data queries to minimize API calls and improve performance.
  • Handle permissions: Verify user authorization and data access rights before processing.
  • Monitor quotas: Stay within Google Fit API usage limits and implement rate limiting.