Analytics for Agents

The Analytics dashboard for Agents provides detailed insights into how Contentstack Agents are used across your organization. Agents are intelligent systems built on four core components: triggers, instructions, tools, and AI model, that can reason, decide, and act across workflows. Use these metrics to monitor execution trends, token usage, AI model adoption, and overall agent activity across your organization.

Note Only organization Owner and Admin roles can access the Analytics feature.

To access the Analytics dashboard, log in to your Contentstack account and perform the following steps:

1. Navigate to Analytics through the “App Switcher”.
2. By default, the CMS analytics dashboard appears. Click Agent OS and then select Agents to switch dashboards. 
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Note The data in the Agents dashboard updates in real-time, with a latency of 5–10 minutes.

The dashboard is divided into several key sections, each providing insights into different aspects of agent activity and usage.

This section provides a high-level snapshot of agent activity across your organization. It highlights key metrics such as Total Agents, Total Active Agents, Total Executions, and Token Consumption.

These summary cards help you quickly assess agent activity, execution frequency, and token consumption across your organization. 

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This section displays the number of successful and failed agent executions over the selected date range shown as a daily bar chart.

Use this section to monitor execution reliability, identify periods with higher failure rates, and track execution trends over time. 

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This section displays execution details for individual agents. For each agent, it shows the AI model it is configured to use, the number of executions performed, and the total tokens consumed.

Use this section to identify the most active agents, analyze AI model usage, and monitor token consumption across agent configurations. 

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This section displays the distribution of agents by the AI model they are configured to use, shown as a bar chart. Each bar represents a model and the number of agents built on it.

Use this section to analyze AI model adoption and understand how AI model usage is distributed across your organization. 

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This section displays the trend of total tokens consumed by agent executions over the selected date range, shown as a daily bar chart.

Use this section to monitor token usage trends, identify peak consumption periods, and track AI resource usage across your organization. 

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To apply filters, click Filters and then click Apply Filter(s) after selecting your desired options.

Filters available include:

• Date Range: Choose from 1 week, 30 days (default), 60 days, or 90 days. Some charts include a timeline selector for further refinement.
• Custom Date: Set a custom date range using the dropdown.

  Note The custom date range should not exceed 90 days.

• Zoom: Switch between 1 week, 30 days, 60 days, or 90 days for trend analysis.
• Projects: View metrics for a specific project or all projects together.
• Group By: View data grouped by day, week, or month, depending on the selected section.

To save a specific filter for later use, click the horizontal ellipsis (...) beside Reset and choose Save As New View.

Once saved, your view appears in the dropdown menu for quick access, so you don’t need to reapply filters manually each time.