Team admins can track metrics for their team from the dashboard.

A new and upgraded metrics page is currently in development, including an API for programmatic data retrieval and will be available soon.

The metrics dashboard shows usage statistics for your team over the last 30 days:

Total Usage

View aggregate metrics across your entire team, including total tabs and premium requests used. For teams less than 30 days old, metrics reflect actual usage since team creation, including activity from team members’ individual accounts prior to joining.

Per Active User

See average usage metrics per active user, including tabs accepted, lines of code, and premium requests.

User Activity

Track both weekly and monthly active user counts.

FAQ

Analytics Report Headers

When you export analytics data from the dashboard, the report includes detailed metrics about user behavior and feature usage. Here’s what each header means:

User Information

Date
ISO 8601 timestamp

The date when the analytics data was recorded (e.g., 2024-01-15T04:30:00.000Z)

User ID
string

Unique identifier for each user in the system

Email
string

User’s email address associated with their account

Is Active
boolean

Indicates if the user was active on this date

AI-Generated Code Metrics

Chat Suggested Lines Added
number

Total lines of code suggested by the AI chat feature

Chat Suggested Lines Deleted
number

Total lines of code suggested for deletion by the AI chat

Chat Accepted Lines Added
number

AI-suggested lines that the user accepted and added to their code

Chat Accepted Lines Deleted
number

AI-suggested deletions that the user accepted

Feature Usage Metrics

Chat Total Applies
number

Times a user applied AI-generated changes from chat

Chat Total Accepts
number

Times a user accepted AI suggestions

Chat Total Rejects
number

Times a user rejected AI suggestions

Chat Tabs Shown
number

Times AI suggestion tabs were displayed to the user

Tabs Accepted
number

AI suggestion tabs that were accepted by the user

Request Type Metrics

Edit Requests
number

Requests made through the composer/edit feature (Cmd+K inline edits)

Ask Requests
number

Chat requests where users asked questions to the AI

Agent Requests
number

Requests made to AI agents (specialized AI assistants)

Cmd+K Usages
number

Times the Cmd+K (or Ctrl+K) command palette was used

Subscription and API Metrics

Subscription Included Reqs
number

AI requests covered under the user’s subscription plan

API Key Reqs
number

Requests made using API keys for programmatic access

Usage-Based Reqs
number

Requests that count toward usage-based billing

Additional Features

Bugbot Usages
number

Times the bug detection/fixing AI feature was used

Configuration Information

Most Used Model
string

The AI model that the user used most frequently (e.g., GPT-4, Claude)

Most Used Apply Extension
string

File extension most commonly used when applying AI suggestions (e.g., .ts, .py, .java)

Most Used Tab Extension
string

File extension most commonly used with tab completion features

Client Version
string

Version of the Cursor editor being used

Calculated Metrics

The report also includes processed data that helps understand AI code contribution:

  • Total Lines Added/Deleted: Raw count of all code changes
  • Accepted Lines Added/Deleted: Lines that originated from AI suggestions and were accepted
  • Composer Requests: Requests made through the inline composer feature
  • Chat Requests: Requests made through the chat interface

All numeric values default to 0 if not present, boolean values default to false, and string values default to empty strings. Metrics are aggregated at the daily level per user.