cursor-usage-analytics

name	cursor-usage-analytics
description	Track and analyze Cursor usage metrics via admin dashboard: requests, model usage, team productivity, and cost optimization. Triggers on "cursor analytics", "cursor usage", "cursor metrics", "cursor reporting", "cursor dashboard", "cursor ROI".
allowed-tools	Read, Write, Edit, Bash(cmd:*)
version	1.18.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","cursor","analytics","dashboard"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

Cursor Usage Analytics

Track and analyze Cursor usage metrics for Business and Enterprise plans. Covers dashboard metrics, cost optimization, adoption tracking, and ROI measurement.

Admin Dashboard Overview

Access: cursor.com/settings > Team > Usage (Business/Enterprise only)

┌─ Dashboard ────────────────────────────────────────────┐
│                                                        │
│  Total Requests This Month:  12,847                    │
│  Fast Requests Remaining:    2,153 / 15,000            │
│  Active Users:               28 / 30 seats             │
│  Most Used Model:            Claude Sonnet (62%)       │
│                                                        │
│  ┌─ Usage Trend ─────────────────────────────────┐     │
│  │  ▆▆▇▇██▇▆▇█▇▇▆▅                              │     │
│  │  Mon Tue Wed Thu Fri Sat Sun                   │     │
│  └───────────────────────────────────────────────┘     │
│                                                        │
│  ┌─ Top Users ───────────────────────────────────┐     │
│  │  [e-mail]     847 requests  (Sonnet)      │     │
│  │  [e-mail]       623 requests  (GPT-4o)      │     │
│  │  [e-mail]     591 requests  (Auto)        │     │
│  └───────────────────────────────────────────────┘     │
│                                                        │
└────────────────────────────────────────────────────────┘

Key Metrics

Request Metrics

Metric	What It Measures	Target
Total requests	All AI interactions (Chat, Composer, Inline Edit)	Growing month-over-month
Fast requests	Premium model uses (count against quota)	Stay under monthly limit
Slow requests	Queued requests after quota exceeded	Minimize (upgrade if high)
Tab acceptances	How often Tab suggestions are accepted	30-50% acceptance rate is healthy

User Adoption Metrics

Metric	Healthy	Needs Attention
Weekly active users	80%+ of seats	Below 50% of seats
Requests per user/day	5-20	Below 3 (underutilization)
Users with 0 requests (30d)	0-10% of seats	Above 20% (wasted seats)
Model diversity	2-3 models used