ArcGIS Online is a cloud-based mapping and analysis platform that enables organizations to create, share, and analyze geographic information.
Enhance your spatial data with AI Agents that can automate analysis and deliver location-based insights at scale.



ArcGIS Online brings powerful geographic visualization and analysis to the cloud. Relevance AI transforms this spatial data into intelligent action through AI Agents that can analyze, predict, and automate location-based decisions.
Dynamic Data Orchestration
The agent can seamlessly integrate and manage diverse data sources for real-time insights.
Predictive Spatial Analysis
Leverage advanced algorithms to forecast trends and outcomes based on geographic data.
Automated Workflow Optimization
Streamline processes by automating repetitive tasks and enhancing operational efficiency.
Relevance AI gives you access to ArcGIS Online's mapping and spatial analysis capabilities within your automated 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:
- An ArcGIS Online account
- A Relevance AI account with API access
- Authorization credentials (secured via OAuth authentication)
Security & Reliability
The integration leverages secure OAuth authentication to safely access your ArcGIS Online data and mapping services. Relevance AI manages API operations in the background while handling spatial data transformations, basemap styling, and feature service requests automatically.
Built-in geospatial validation and coordinate system conversions ensure your location-based workflows run reliably across different data formats.
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.

Best Practices for Non-Technical Users
To get the most out of the ArcGIS Online + Relevance AI integration without writing code:
- Organize your spatial data: Structure your GIS layers and attributes with clear naming conventions.
- Use authentication properly: Ensure OAuth credentials are correctly configured for secure API access.
- Follow API best practices: Utilize appropriate HTTP methods (GET, POST, PUT) for different operations.
- Validate endpoints: Double-check your API paths and base URLs before making requests.
- Monitor response codes: Track API status codes to ensure successful data transmission and handle errors.