packages/kilo-docs/pages/collaborate/teams/analytics.md
Using Kilo seats with an Enterprise or Teams subscription provides detailed usage analytics to help you monitor and understand your organization’s AI usage patterns, costs, and activity through the Kilo Gateway provider.
Access your organization’s usage analytics through the Usage Details section in your dashboard. The analytics show comprehensive data about your team's usage of the Kilo Gateway provider.
{% callout type="info" title="Usage Scope" %} This usage overview includes all of your usage of the Kilo Gateway provider. It does NOT include any usage made via the Kilo Code extension to other, non-Kilo Code providers. You can choose which API provider to use from the extension's main settings page. {% /callout %}
The dashboard displays five key metrics at the top:
Select from four time period options to view usage data:
Use the "Only my usage" toggle to filter the data:
Choose between two data presentation formats:
Shows usage aggregated by date with columns:
When viewing team data, you can click on any date row to expand and see individual user breakdowns for that day, showing each team member's usage, cost, requests, and tokens.
Shows detailed usage broken down by AI model and date with columns:
Click on any row to expand and see which specific team members used that model on that date, along with their individual usage statistics.
You can also view usage by project.
Project names are automatically parsed from the project's .git/config for the remote named origin (if there is one).
For example, if the following were in your .git/config:
[remote "origin"]
url = [email protected]:example-co/example-repo.git
fetch = +refs/heads/*:refs/remotes/origin/*
The project name would be example-repo.
You can also manually override the project name in the .kilocode/config.json file in your project.
To set the project identifier to my-project, create a .kilocode/config.json file with the following contents:
{
"project": {
"id": "my-project"
}
}
The analytics track usage across different AI models, showing the specific model identifiers such as:
anthropic/claude-sonnet-4openai/gpt-5x-ai/grok-code-fast-1mistralai/codestral-2508When viewing team data, you can see:
All costs are displayed in USD with detailed precision, helping you:
The usage analytics provide the insights needed to optimize your team's AI usage while maintaining visibility into costs and activity patterns.