Activity
Monitor workflow executions, track performance, and debug issues from the Activity page.
Overview
The Activity page gives you a real-time view of every workflow execution across your account. Each time a workflow runs - whether triggered manually, by schedule, via API, or through chat - it counts as one execution and appears here with its status, timing, and token usage.
Filters
The top bar has three filters that work together to narrow down the execution list.
Status Filter
Filter executions by their outcome.
| Status | Meaning |
|---|---|
| All Statuses | Show everything |
| Success | Workflow completed without errors |
| Error | Workflow failed during execution |
| Aborted | Workflow was manually stopped by the user |
| Suspended | Workflow is paused (e.g. waiting on a Human in the Loop node) |
| Running | Workflow is currently executing |
Trigger Filter
Filter by how the workflow was started.
| Trigger | Meaning |
|---|---|
| All Triggers | Show all trigger types |
| Manual | Started by clicking "Run" in the editor |
| Scheduled | Started by a schedule or cron trigger |
| Webhook | Started by an API call or webhook |
| Chat | Started from a chat interface |
Date Range
Pick a date range to scope the results. By default it shows the last 7 days. Click the date picker to select a custom range, or click the × to clear the filter and show all dates.
Stats Cards
Four summary cards at the top show aggregated metrics for the selected filters and date range.
| Card | What it shows |
|---|---|
| Total Executions | Number of workflow runs in the selected period. Each workflow run counts as 1 execution regardless of how many nodes it contains. |
| Success Rate | Percentage of executions that completed successfully. |
| Avg Execution Time | Average time from start to finish across all executions. Displayed in milliseconds. |
| Total Tokens | Total LLM tokens consumed across all executions that used Model or AI-related nodes. |
Execution Trends Chart
A line chart below the stats cards shows execution volume over time, broken down by status:
- Green line - Successful executions
- Red line - Failed executions
- Orange line - Aborted executions
The X-axis shows dates within your selected range. The Y-axis shows execution count. Hover over any point to see the exact count for that day.
Activity Logs Table
The table at the bottom lists individual executions with the following columns:
| Column | Description |
|---|---|
| Workflow | Name of the workflow that was executed |
| User | The account that triggered the execution |
| Triggered By | How the workflow was started (Manual, Scheduled, Webhook, Chat) |
| Status | Execution result - shown as a colored badge |
| Exec. Time | How long the execution took |
| Tokens | Number of LLM tokens used in this execution (0 if no AI nodes were involved) |
| Date | Timestamp of when the execution started |
Click any row to open the execution details, where you can inspect the input/output of each node in the workflow.
Common Use Cases
Debugging a failed workflow
- Set the Status filter to Error
- Find the failed execution in the logs
- Click the row to open execution details
- Step through the nodes to find where it failed
Checking API usage
- Set the Trigger filter to Webhook
- Select your date range
- The Total Executions card shows how many API calls were made
- The Avg Execution Time card helps identify slow endpoints
Monitoring token costs
- Look at the Total Tokens card for the selected period
- Sort or scan the logs table by the Tokens column to find which workflows consume the most tokens
- Use this to optimize prompts or reduce unnecessary AI node calls