> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tryreplicas.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Analytics

> See how much work Replicas is shipping for your organization.

The analytics dashboard turns your organization's activity into insights: how much you're using Replicas, where that work comes from, and how much agent work is shipping. Only organization admins can access the dashboard and its analytics data.

Find [Analytics](https://tryreplicas.com/dashboard/analytics) in the main sidebar, just below [Automations](/features/automations). It's only visible to organization admins.

## Usage

A time series of compute minutes **broken down by workspace source**, so you can see how much agent runtime you're consuming each period and where it comes from. Compute minutes are metered agent runtime (grants and bonus credits are excluded, so this tracks usage only); plan limits and charges live in [Billing](/admin/billing). Usage is populated from newly recorded debit events going forward; minutes billed before this tracking began are not backfilled and will not appear.

## Workspaces created

A total for the selected range plus a horizontal bar breakdown of where those workspaces came from ([dashboard](/features/workspaces/overview), [API](/features/api), [automations](/features/automations), [Slack](/features/slack), [Linear](/features/linear), [GitHub](/features/github), [GitLab](/features/gitlab)), ranked most to least, colored by source.

## Pull requests

A time series of pull requests **created**, **merged**, and **closed** so you can track how much agent work is landing.

## Time controls

A single global filter in the section header drives all three cards. Pick a range from the preset shortcuts (**7 days** by default, **30 days**, **60 days**, **1 year**, or **All time**), or set a **custom date range** by selecting two days on the calendar (future dates are disabled). A shared **Group by** control buckets the Usage and Pull Requests time series by day, week, or month.