Integrations

Supercharge Geckoboard with Relevance AI

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.

Give your AI Agents Geckoboard Superpowers

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.

Tools

Equip AI Agents with the Geckoboard Tools they need

Relevance AI seamlessly integrates with Geckoboard to enhance your data visualization workflows.

Geckoboard - Append to Dataset
Adds new data records to an existing Geckoboard dataset, allowing for continuous updates of metrics and KPIs in real-time dashboards
Geckoboard - Create Dataset
Establishes a new dataset within Geckoboard by defining custom fields and structure for storing and visualizing business metrics and KPI data
Geckoboard - Create Dataset
Establishes a new dataset within Geckoboard by defining custom fields and structure for storing and visualizing business metrics and KPI data
Geckoboard - Delete Dataset
Removes an existing dataset from Geckoboard, permanently deleting all associated data and metric configurations
Name
Geckoboard API Call
Description
Make an authorized request to a Geckoboard API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
A marketing team uses the Geckoboard API Call to automatically update their real-time dashboard with the latest campaign performance metrics from multiple data sources, eliminating manual data entry and ensuring their analytics are always current.

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.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Geckoboard + Relevance AI integration without writing code:
  • Start with a clear dataset structure: Define clear field names and ensure consistent data types for effective visualization.
  • Utilize Geckoboard templates: Leverage pre-built dashboard templates to quickly visualize your data without starting from scratch.
  • Connect securely: Ensure you configure OAuth credentials correctly and approve the necessary permissions during setup.
  • Test your datasets: Validate dataset creation and data appending with sample data before deploying to production.
  • Monitor API usage: Be aware of Geckoboard's API rate limits and implement batching for data updates to avoid throttling.