Skip to main content

Documentation Index

Fetch the complete documentation index at: https://developer.mindlytics.ai/llms.txt

Use this file to discover all available pages before exploring further.

Events Explorer provides a real-time, chronological view of all events generated by your application and tracked through the Mindlytics SDK. Events explorer is accessed from Live Events option from the leftside navigation panel. It enables developers and product teams to monitor live event streams, validate instrumentation, and inspect individual user behavior.

​
How it works

The Events Explorer displays events sorted by timestamp, with the most recent events appearing first. Each event entry includes:
  • User ID – the unique identifier of the user who generated the event
  • Event Name – the name of the event as sent by the SDK
  • Timestamp – the exact time the event was recorded by Mindlytics
The view updates automatically as new events are ingested, allowing near real-time visibility into application activity.

​
Filtering events

Use the Filter by Events control to narrow the event stream to one or more specific event types.
  • Select one or multiple event names from the dropdown to filter the view
  • The dropdown is dynamically populated based on event names received for your application
  • Filtering helps isolate specific interactions, flows, or SDK events for focused inspection

​
Inspecting user activity

Clicking an event opens the corresponding User Profile, where you can:
  • View associated user traits and metadata
  • See a complete, time-ordered list of all events generated by that user
  • Analyze how an individual user interacts with your application across sessions
This makes Events Explorer especially useful for debugging, instrumentation validation, and investigating specific user journeys.

​
Refreshing events

The Events Explorer page is auto-updated to reflect newly ingested events.
You can also manually refresh the view at any time by clicking the Reload icon, which retrieves the most recent events.

​
Common use cases

  • Verifying SDK setup and event instrumentation
  • Debugging missing, delayed, or malformed events
  • Monitoring real-time user activity
  • Drilling down from raw events to individual user behavior