Integrations

Supercharge Heap with Relevance AI

Heap is a digital analytics platform that automatically captures every user interaction on web and mobile applications.

Enhance your analytics with AI Agents that can turn user behavior data into automated, intelligent actions.

Give your AI Agents Heap Superpowers

Heap captures every user interaction automatically across your digital properties. Relevance AI transforms this comprehensive behavioral data into intelligent AI Agents that can analyze patterns and automate personalized responses.

Real-Time Insights

Agents can access and utilize live user data to enhance interactions.

Personalized Engagement

Agents tailor responses based on individual user behavior and preferences.

Enhanced Decision-Making

Agents utilize data-driven insights to inform strategic choices and actions.

Tools

Equip AI Agents with the Heap Tools they need

Relevance AI gives you access to Heap's analytics capabilities within your AI-powered workflows.

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your Heap analytics data. Relevance AI handles API operations (like GET, POST, PUT, DELETE) in the background—so you don't have to worry about authentication tokens, request formatting, or rate limits.

Built-in validation and data transformation ensure your analytics workflows run smoothly, even when event data formats change.

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 Heap + Relevance AI integration without writing code:
  • Configure event tracking: Set up proper event definitions and user properties in Heap first.
  • Use OAuth securely: Ensure proper authentication by connecting with appropriate Heap account permissions.
  • Structure API calls: Follow RESTful patterns when making requests to the Heap API endpoints.
  • Monitor response codes: Check API response status to validate successful data transfers.
  • Batch operations: Group related API calls together to optimize performance and reduce overhead.