Radar is a leading data intelligence platform that provides comprehensive insights and analytics on businesses and individuals.
Enhance your data-driven decisions with AI Agents that can automatically process insights and take action.


Radar delivers powerful data insights and analytics for informed decision-making. Relevance AI transforms these insights into intelligent actions through AI Agents that can analyze, predict, and respond automatically.
Data-Driven Insights
The agent harnesses real-time data to provide actionable insights for informed decision-making.
Predictive Analytics Power
Utilizes advanced algorithms to forecast trends and behaviors, enhancing strategic planning.
Proactive Risk Management
Identifies potential risks early, allowing for timely interventions and compliance improvements.
Relevance AI gives you access to Radar's comprehensive data intelligence capabilities 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 Radar 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 location-based workflows run smoothly, even with complex geospatial data.
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.