Get Started

What This Tool Does
Real examples of how the connector helps your AI agent take action; like sending messages, updating records, or syncing data across tools.
Real-Time Lookup
Query real-time analytics data from Azure Data Explorer
Example
Get current error rate from telemetry logs
Memory Recall
Review historical telemetry patterns
Example
Summarize CPU usage for the last 7 days
Instant Reaction
Run ad hoc KQL queries instantly
Example
Run a KQL to find failed login attempts
Autonomous Routine
Schedule log analysis for system monitoring
Example
Analyze performance metrics daily at 6 PM
Agent-Initiated Action
Trigger alerts or insights from pattern detection
Example
Alert ops team if query latency spikes


Connect with Apps
See which platforms this connector is commonly used with to power cross-tool automation.

Power BI
Visualize query results with interactive dashboards
Azure Logic Apps
Automate workflows based on query outputs
Microsoft Teams
Share alerts and insights from data queries
Try It with Your Agent
Run a query in Azure Data Explorer to find the top 5 devices with the highest error rates in the last 24 hours and summarize the results.
How to Set It Up
Quick guide to connect, authorize, and start using the tool in your Fastn UCL workspace.
1
Connect Azure Data Explorer in Fastn UCL: Navigate to the Connectors section and select Azure Data Explorer, then click Connect.
2
Authenticate using your Azure credentials and grant the connector permission to access your Azure Data Explorer clusters.
3
Enable the actions “execute_query” and “get_query_status” to allow the AI agent to run and monitor queries.
4
Use the AI Agent: Ask prompts like “Run a query to get the top 5 devices with highest error rates in the last 24 hours.”

Why Use This Tool
Understand what this connector unlocks: speed, automation, data access, or real-time actions.