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Integrations · Cursor

Cursor usage analytics for engineering teams

CloudByte AI captures every Cursor session on every developer machine: prompts, tool calls, models and tokens, added up per developer and project, next to what it costs and the commits that shipped.

01Sessions

What does CloudByte AI capture from Cursor?

The agent reads Cursor's local session data on each machine without changing it and syncs every session to your organization every 3 minutes: the prompts sent, the tool calls made, the model that answered and the tokens it used.

  • Prompts in order, with developer, project and repository
  • Tool calls recorded as typed observations
  • Token counts and the model behind each response
  • Sessions linked to the commits and tickets they led to
How Activity Tracking works
02Cost and adoption

Who uses Cursor, and what does it cost per developer?

See who opened Cursor this week, how deep their sessions go and how many end in a commit, next to the tokens behind each developer's work. Idle seats show up before renewal, not after it.

  • Active days and sessions per developer
  • Session depth and commit conversion by project
  • Tokens per developer, project and model, with an estimated cost at list prices
  • An idle-seat report ahead of every renewal
See the AI Cost Center
03One view

Can you see Cursor and Claude Code in one view?

Yes. Both tools feed the same dashboard with the same metrics, so you can compare adoption, tokens and commits across tools, and a developer who switches between them still shows up as one person.

  • Sessions, tokens and commits split by tool for every developer
  • Compare tools by project, team or model
  • One set of roles and permissions for both
  • Git activity from every repository, whichever tool wrote the code
See the Claude Code integration
ROI

Can you measure Cursor ROI?

Yes, from your own data. AI Insights sets an hours-saved estimate against what the AI work cost, per team and project, so the number comes from your sessions and commits rather than a generic benchmark.

  • ROI per AI dollar

    An hours-saved estimate set against token spend, for each team and project.

  • Adoption you can trust

    An adoption heatmap and active days per developer, with broken installs kept apart from real non-use.

  • Sessions that ship

    Session depth and commit conversion by project, so you see which work AI actually moves forward.

ROI and spend analytics are included from the Starter plan.

See AI Insights
Setup

How does setup work?

Install the agent with one line per laptop. It reads Cursor's local session data without changing it, syncs every 3 minutes, and your dashboard is live in about 10 minutes.

  1. 01

    Install once per laptop

    One command on macOS, Linux or Windows. The installer finishes in 60 to 90 seconds and needs no change to any repository.

  2. 02

    Keep using Cursor

    Developers use Cursor exactly as before. The agent runs in the background and never sits between them and the model.

  3. 03

    See the data in minutes

    Prompts appear within 3 minutes of the first session and commits within 10, per developer, project and team.

What the agent sends

  • Prompts and tool observations
  • Session details and summaries
  • Token usage per model
  • Commit metadata and diff stats (diffs kept 5 days)
  • Agent heartbeats
Everything the agent collects

What it never collects

  • Source code files
  • Keystrokes
  • Environment variables
  • Screen recordings
  • Browser activity
How your data is protected
Built-in views

Cursor's admin usage views vs CloudByte AI

Cursor's analytics dashboard gives Team and Enterprise admins a clear picture of how the editor is used. CloudByte AI adds the sessions, cost per developer and commit links behind those numbers, with Claude Code in the same view.

  • Where you see it

    Cursor's built-in views

    An analytics dashboard on cursor.com for Team and Enterprise, with a CSV download on each chart

    CloudByte AI

    One web dashboard for the whole team, fed by an agent on every developer machine
  • Adoption

    Cursor's built-in views

    Active users, daily usage, and a leaderboard with each person's favorite model

    CloudByte AI

    Active days, sessions and prompts per developer, project and team
  • AI output

    Cursor's built-in views

    Agent edits suggested and accepted, Tab completions, and AI share of committed code

    CloudByte AI

    Commits with an AI summary, linked to the sessions and tickets behind them
  • Conversations

    Cursor's built-in views

    Messages sent by mode or model, plus Conversation Insights on work type and complexity on Enterprise

    CloudByte AI

    Each session's prompts and tool calls on one timeline, with typed observations
  • Spend

    Cursor's built-in views

    Usage-based pricing settings and team spend limits, with per-member limits on Enterprise

    CloudByte AI

    Tokens per developer, project and model, with an estimated cost at list prices
  • Other AI tools

    Cursor's built-in views

    Cursor only

    CloudByte AI

    Cursor and Claude Code in one view
  • Data access

    Cursor's built-in views

    An Analytics API on Enterprise

    CloudByte AI

    Every metric over a REST API with an OpenAPI 3 spec

Cursor's side is based on its public documentation, checked in October 2026. Features change often, so check Cursor's documentation for the latest. Product names are trademarks of their respective owners.

FAQ

Cursor analytics questions, answered

How tracking works, how ROI is measured and how it fits next to Cursor's own dashboard.

Install the CloudByte AI agent once per developer laptop with a single command. It reads Cursor's local session data without modifying it and syncs prompts, tool calls, tokens, models and commits every 3 minutes, so one dashboard shows Cursor usage per developer, project and team.

Yes. AI Insights sets an hours-saved estimate against what the AI work cost, per team and project, and shows the adoption, session depth and commit conversion behind it. The numbers come from your own sessions and commits. ROI and spend analytics are included from the Starter plan.

AI coding ROI and adoption metrics

Yes. Both tools feed the same dashboard with the same metrics, so you can compare adoption, tokens and commits by tool, project or developer. A developer who switches between Cursor and Claude Code still shows up as one person with one history.

Prompts, sessions, tool calls, the model behind each response and its token counts, plus commit metadata with diff stats from the repositories you point the agent at. Source code files, keystrokes, environment variables, screen recordings and browser activity are never collected.

Everything the agent collects

Cursor's analytics dashboard shows how the editor is used: active users, messages, accepted agent edits and Tab completions, and AI share of committed code. CloudByte AI adds the sessions behind those numbers, cost per developer, commits linked to sessions and tickets, and Claude Code in the same view. Many teams use both.

Cursor admin dashboard vs team analytics

See your team's Cursor usage this week.

Install the agent once per laptop and Cursor sessions, spend and commits start showing up within minutes.

  • Free for up to 5 developers
  • 10-minute setup
  • Your Anthropic key, your spend (Enterprise)