enterprise/governance.md Codex Docs, 2026-03-26 18:27 UTC → 2026-05-12 01:59 UTC

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15## Analytics Dashboard15## Analytics Dashboard

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17![Codex analytics dashboard](/images/codex/enterprise/analytics.png)17<div class="max-w-1xl mx-auto">

18 <img src="https://developers.openai.com/images/codex/enterprise/analytics-dashboard.png"

19 alt="Codex analytics dashboard"

20 class="block w-full mx-auto rounded-lg !border-0"

21 />

22</div>

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19### Dashboards24### Dashboard views

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21The [analytics dashboard](https://chatgpt.com/codex/settings/analytics) allows ChatGPT workspace administrators to track feature adoption.26The [analytics dashboard](https://chatgpt.com/codex/cloud/settings/analytics#usage) allows ChatGPT workspace administrators and analytics viewers to track Codex adoption, usage, and Code Review feedback. Usage data can lag by up to 12 hours.

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23Codex provides the following dashboards:28Codex provides date-range controls for daily and weekly views. Key charts include:

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25- Daily users by product (CLI, IDE, cloud, Code Review)30- Active users by product surface, including CLI, IDE extension, cloud, desktop, and Code Review

26- Daily code review users31- Workspace and personal usage breakdowns, including credit and token usage by product surface

27- Daily code reviews32- Product activity for threads and turns by client

28- Code reviews by priority level33- User ranking table, with filters for client and sort options such as credits, threads, turns, text tokens, and current streak

29- Daily code reviews by feedback sentiment34- Code Review activity, including PRs reviewed, issues by priority, comments, replies, reactions, and feedback sentiment

30- Daily cloud tasks35- Skill invocations and agent identity usage when your workspace has those features

31- Daily cloud users

32- Daily VS Code extension users

33- Daily CLI users

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35### Data export37### Data export

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37Administrators can also export Codex analytics data in CSV or JSON format. Codex provides the following export options:39Administrators can also export Codex analytics data in CSV or JSON format. Codex provides the following export options:

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39- Code review users and reviews (Daily unique users and total reviews completed in Code Review)41- Workspace usage, including daily active users, threads, turns, and credits by surface

40- Code review findings and feedback (Daily counts of comments, reactions, replies, and priority-level findings)42- Usage per user, including daily threads, turns, and credits across surfaces, with optional email addresses when allowed

41- cloud users and tasks (daily unique cloud users and tasks completed)43- Code Review details, including daily comments, reactions, replies, and priority-level findings

42- CLI and VS Code users (Daily unique users for the Codex CLI and VS Code extension)

43- Sessions and messages per user (Daily session starts and user message counts for each Codex user across surfaces)

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45## Analytics API45## Analytics API

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47Use the [Analytics API](https://chatgpt.com/codex/settings/apireference) when you want to automate reporting, build internal dashboards, or join Codex metrics with your existing engineering data.47Use the [Analytics API](https://chatgpt.com/codex/cloud/settings/apireference) when you want to automate reporting, build internal dashboards, or join Codex metrics with your existing engineering data.

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49### What it measures49### What it measures

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51The Analytics API provides daily, time-series metrics for a workspace, with optional per-user breakdowns and per-client usage.51The enterprise Analytics API returns daily or weekly UTC buckets for a workspace. It supports workspace-level and per-user usage, per-client breakdowns, Code Review throughput, Code Review comment priority, and user engagement with Code Review comments.

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53### Endpoints53### Endpoints

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55#### Daily usage and adoption55The base URL is `https://api.chatgpt.com/v1/analytics/codex`. All endpoints return paginated `page` objects with `has_more` and `next_page`.

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57- Daily totals for threads, turns, and credits57Use `start_time` for the inclusive Unix timestamp at the beginning of the reporting window, `end_time` for the exclusive Unix timestamp at the end of the reporting window, `group_by` for `day` or `week` buckets, `limit` for page size, and `page` to continue from a previous response. Requests can look back up to 90 days.

58- Breakdown by client surface58 

59- Optional per-user reporting for adoption and power-user analysis59#### Usage

60 

61`GET /workspaces/{workspace_id}/usage`

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63- Returns totals for threads, turns, credits, and per-client usage in daily or weekly buckets.

64- Omit `group` to return per-user rows.

65- Set `group=workspace` to return workspace-wide rows.

66- Includes text input, cached input, and output token fields.

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61#### Code review activity68#### Code review activity

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63- Pull request reviews completed by Codex70`GET /workspaces/{workspace_id}/code_reviews`

64- Total comments generated by Codex71 

65- Severity breakdown of comments72- Returns pull request reviews completed by Codex.

73- Returns total comments generated by Codex.

74- Breaks comments down by P0, P1, and P2 priority.

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67#### User engagement with code review76#### User engagement with code review

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69- Replies to Codex comments78`GET /workspaces/{workspace_id}/code_review_responses`

70- Reactions, including upvotes and downvotes79 

71- Engagement breakdowns for how teams respond to Codex feedback80- Returns replies and reactions to Codex comments.

81- Breaks reactions down into positive, negative, and other reactions.

82- Counts comments that received reactions, replies, or either form of engagement.

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73### How it works84### How it works

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75Analytics is daily and time-windowed. Results are time-ordered and returned in pages with cursor-based pagination. You can query by workspace and optionally group by user or aggregate at the workspace level.86Analytics uses time windows and supports day or week grouping. Results are time-ordered and returned in pages with cursor-based pagination. Use an API key scoped to `codex.enterprise.analytics.read`.

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77### Common use cases88### Common use cases

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