We're excited to introduce a new analytics dashboard for AI agents. You can now track usage, performance, and errors for each agent over the last 30 days, giving you the visibility you need to optimize deployments and understand where your credits are going.

Agent analytics dashboard

Every agent now has its own analytics hub, showing you exactly how it's performing. Four key metrics give you an instant snapshot: total credits consumed, total runs executed, completion rate, and active users. Scroll down for deeper visualizations that reveal trends, patterns, and performance over time.

Find it here: Agent → Agent modification space → Left sidebar → Analytics (under Deployment)

What you'll see:

• Total credits : Credits consumed by this agent in the period

• Total runs : Number of times the agent was executed

• Completion rate : Percentage of successful runs, with failure count

• Active users : Number of unique users who triggered the agent

• Run volume by channel : Bar chart breaking down runs by Swiftask vs. other channels

• Active users trend : Daily active user count over the 30-day window

• Credits over time : Line chart showing credit consumption patterns and spikes

• Avg credits per run : Efficiency metric showing average cost per execution

• Run status over time : Stacked bar chart comparing successful vs. failed runs by day

All data covers the last 30 days and updates in real-time as your agent runs.

Available on: All plans

How to test it

1. Go to any AI agent in your workspace

2. Open the agent modification space (click to edit)

3. In the left sidebar, scroll to the Deployment section

4. Click Analytics at the bottom

5. Verify the 4 metric cards display with data from your agent

6. Scroll down to confirm all 5 visualizations are rendering correctly

7. Run your agent a few times and check that metrics update in real-time