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
Retrieve real-time device performance or user sentiment data.
Example
"What’s the current score for John Doe’s laptop?"
Memory Recall
Access historical device logs or issue patterns.
Example
"Show device crashes for Jane's workstation in the last 2 weeks."
Instant Reaction
Act on alerts like low user sentiment or high crash rates.
Example
"Notify IT if any endpoint hits critical performance status."
Autonomous Routine
Periodically audit device scores or software health.
Example
"Send daily health summary of all high-risk endpoints."
Agent-Initiated Action
Isolate endpoints, assign remediation tasks, or deploy fixes.
Example
"Trigger a remote reboot and patch for non-compliant systems."
Connect with Apps
See which platforms this connector is commonly used with to power cross-tool automation.
Slack
Real-time IT alerts and notifications
Microsoft Teams
Collaboration on incident management
ServiceNow
Automated ticket creation and updates
Try It with Your Agent
Monitor endpoint performance metrics in Nexthink and alert me if any device shows abnormal CPU usage or application errors in the last hour.
How to Set It Up
Quick guide to connect, authorize, and start using the tool in your Fastn UCL workspace.
1
Connect Nexthink in Fastn UCL: Navigate to the Connectors section and select Nexthink to initiate connection.
2
Authenticate using your Nexthink API credentials to grant access to endpoint and analytics data.
3
Enable “Monitor Metrics” and “Alert on Anomaly” actions in the Actions tab to allow the AI assistant to evaluate performance indicators like CPU usage or app errors.
4
Use the AI Agent: Ask prompts like “Alert me if any device had abnormal CPU usage in the past hour” or “Summarize app crash incidents today.”
Why Use This Tool
Understand what this connector unlocks: speed, automation, data access, or real-time actions.
