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.


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.
Relevance AI gives you access to Heartbeat's customer feedback and engagement tools within your AI-powered 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
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
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.

To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.