Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Integrations

Supercharge Heartbeat with Relevance AI

Heartbeat is a leading platform for customer feedback collection and engagement analytics.

Enhance your customer insights with AI Agents that can autonomously gather feedback, analyze sentiment, and drive personalized engagement at scale.

Give your AI Agents Heartbeat Superpowers

Heartbeat excels at gathering and analyzing customer feedback across multiple channels. Relevance AI transforms this feedback into intelligent action through AI Agents that can automatically collect, analyze, and respond to customer insights.

Real-time Insight Generation

The agent can instantly gather and analyze customer feedback, providing timely insights.

Emotion Detection Mastery

Utilizes sentiment analysis to understand customer emotions and reactions effectively.

Predictive Analytics Capability

Employs machine learning to forecast customer behavior and preferences for proactive engagement.

Tools

Equip AI Agents with the Heartbeat Tools they need

Relevance AI gives you access to Heartbeat's customer feedback and engagement tools within your AI-powered workflows.

heartbeat - Compress PDF
A tool for compressing PDF files by providing a URL to the source PDF and specifying the output filename, helping reduce file sizes while maintaining document quality
heartbeat - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
heartbeat - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
Name
heartbeat API Call
Description
Make an authorized request to a heartbeat API
Parameters
["OAuth Authentication", "Multiple HTTP Methods (GET, POST, PUT, DELETE, PATCH)", "Custom Headers", "Request Body Support", "Response Status Tracking"]
Use Case
A software development team uses heartbeat API Call to automate their deployment process by making authenticated API requests to trigger builds and updates across their infrastructure. This integration streamlines their CI/CD pipeline by enabling secure, programmatic access to their development resources.

Security & Reliability

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

Built-in validation and error handling ensure your API calls run smoothly, with automatic response parsing and status code handling.

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.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Heartbeat + Relevance AI integration without writing code:
  • Configure OAuth properly: Ensure correct authorization scopes are set for your Heartbeat account access.
  • Use appropriate HTTP methods: Match GET for retrieving data and POST/PUT for creating or updating resources.
  • Structure API paths clearly: Follow Heartbeat's API path conventions for reliable endpoint access.
  • Handle responses effectively: Monitor response status codes and body content for successful operations.
  • Manage request headers: Include necessary custom headers while respecting authorization header requirements.