Geckoboard is a powerful tool for visualizing and managing data through customizable dashboards. By integrating with Relevance AI, you can transform your data into actionable insights and automate processes with advanced AI capabilities.


Geckoboard empowers teams to create dynamic dashboards that visualize key metrics. With Relevance AI, you can leverage these visualizations to drive intelligent decision-making and automate insights with AI Agents.
Real-time Data Orchestration
The AI agent continuously monitors and orchestrates data flows across multiple dashboards, ensuring instant visibility of critical metrics.
Predictive Pattern Recognition
Advanced algorithms analyze historical dashboard data to forecast trends and identify potential opportunities or challenges before they emerge.
Cross-platform Data Synthesis
Seamlessly combine and interpret data from multiple sources to create comprehensive, unified dashboard views.
Relevance AI seamlessly integrates with Geckoboard to enhance your data visualization 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 Geckoboard integration for Relevance AI enables teams to visualize and manage their data through customizable dashboards and datasets. This integration allows you to programmatically create, update, and manage datasets while leveraging Geckoboard's powerful visualization capabilities.
With automated dataset management and real-time data visualization, your team can make informed decisions quickly. The integration uses secure OAuth authentication, ensuring that only authorized workflows access your Geckoboard data. Relevance AI handles API operations (like creating, appending, and deleting datasets) in the background—so you don’t have to worry about errors, formatting, or limits.
Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary. To get started, ensure you have the required accounts and credentials, and follow the installation and configuration steps outlined in the documentation.
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.