Early access — cascade metrics are real (derived from canonical token telemetry); the operator field is a curated seed. Learn more about the data
◈ Alternatives

Best Cursor AI Metrics Tools (2026)

Six tools for measuring Cursor AI usage. Only one scores the operator, not just the editor.

The short version

Cursor is one of the best AI code editors in 2026 — and it ships built-in insights that show lines accepted, edits, and tab completions. That is useful when you live entirely inside Cursor. The moment you also use Claude Code for agentic work, Copilot for inline completions, or ChatGPT for a quick draft, those metrics fragment: each tool reports its own numbers, in its own format, locked to its own surface. There is no unified score.

SigRank is the platform-neutral layer that fixes that. It reads token telemetry from Cursor, Claude Code, Copilot, and 15+ other tools, scores them all on the same cascade axis (Υ Yield), and gives you one rank that follows you across editors. You don't switch editors to use SigRank — you add it alongside whatever you already drive.

At-a-glance comparison

ToolWhat it doesCross-platform?Pricing
SigRankOperator-level token-cascade efficiency across Cursor and 15+ other platformsYes — 15+ platformsFree (open-source CLI, MIT-licensed code, CC-BY-4.0 data)
Cursor insights (built-in)Built-in usage stats within the Cursor AI code editorNoIncluded with Cursor (Free / Pro from $20/month)
ccusageClaude Code token usageNoFree (open-source CLI)
WakaTimeTime spent coding in Cursor and other editorsNoFree tier; Pro from $9/month
LangfuseLLM observability platformNoFree self-hosted; Cloud from $39/month
Manual Cursor export + scriptsExporting Cursor's usage data manually and writing your own scripts to extract metrics, patterns, and trends.NoFree (your time is the cost)

The 6 tools, in detail

01

SigRank

editor's pick
What it measures

Operator-level token-cascade efficiency across Cursor and 15+ other platforms — Υ Yield (cache_read × output / input²), compression ratio, SNR, cache hit rate, leverage, velocity, and class tier. Reads Cursor token telemetry locally and scores it on the same axis as Claude Code, Copilot, ChatGPT, and Gemini.

Pros
  • + Platform-neutral — scores Cursor alongside Claude Code, Copilot, ChatGPT, Gemini, and 15+ others
  • + Scores the operator with Υ Yield — tells you if your Cursor context is compounding or burning
  • + Live leaderboard with 7d/30d/90d/all-time windows and head-to-head comparison
  • + Your score follows you across editors — switch from Cursor to Claude Code and your rank reflects both
  • + MCP server mode — your AI agents can read their own metrics
  • + ed25519-signed submissions, token counts only — no prompt content leaves your device
Cons
  • More setup than Cursor's built-in stats (CLI install + enroll)
  • Leaderboard sample is still growing in 2026
Pricing

Free (open-source CLI, MIT-licensed code, CC-BY-4.0 data)

Best for

Cursor operators who want efficiency scoring and cross-platform ranking, not just in-editor stats

02

Cursor insights (built-in)

What it measures

Built-in usage stats within the Cursor AI code editor — lines accepted, edits, tab completions, and acceptance rate. Editor-scoped and editor-locked.

Pros
  • + Native to Cursor — no extra install if you already use the editor
  • + Shows AI acceptance rates and edit counts as a productivity signal
  • + Instant in-editor feedback on whether suggestions land
Cons
  • Locked to Cursor — no data from Claude Code, ChatGPT, Gemini, or Copilot
  • Acceptance rate is a weak proxy for efficiency — high acceptance can mean low scrutiny
  • No token-cascade metrics (yield, leverage, cache hit rate) — blind to context reuse
  • No operator scoring, no leaderboard, no cross-platform comparison
Pricing

Included with Cursor (Free / Pro from $20/month)

Best for

Cursor users wanting quick in-editor acceptance-rate feedback

03

ccusage

What it measures

Claude Code token usage — reads local logs and reports input, output, cache-read, and cache-write counts per session. Claude Code only, not Cursor.

Pros
  • + Dead simple: reads Claude Code logs locally, no account needed
  • + Accurate token counts straight from the source
  • + SigRank bundles it, so you get both in one install
Cons
  • Claude Code only — does not read Cursor telemetry
  • Read-only — counts tokens but does not score or rank them
  • No operator-level efficiency metric or leaderboard
Pricing

Free (open-source CLI)

Best for

Checking your Claude Code token spend (not Cursor)

04

WakaTime

What it measures

Time spent coding in Cursor and other editors — hours, languages, project breakdowns. Measures activity duration, not AI token efficiency.

Pros
  • + Mature time-tracking product with broad editor support including Cursor
  • + Good for productivity dashboards and daily/weekly reports
  • + Integrates with GitHub, Jira, and IDEs
Cons
  • Measures hours, not token efficiency — blind to the cascade
  • No AI-specific metrics: no cache-read, yield, or compression ratio
  • Cannot tell you whether your Cursor AI usage is compounding or burning
Pricing

Free tier; Pro from $9/month

Best for

Tracking how long you code in Cursor, not how efficiently you use AI

05

Langfuse

What it measures

LLM observability platform — traces LLM calls, tracks cost, latency, and token usage across applications. Can be wired into Cursor's API calls with custom integration.

Pros
  • + Full LLM call tracing with cost, latency, and token breakdowns
  • + Team-level dashboards for LLM application monitoring
  • + Supports multiple providers — not locked to one model
Cons
  • Designed for LLM applications, not for measuring Cursor operator efficiency
  • Requires custom integration to trace Cursor's API calls — not plug-and-play
  • No token-cascade metrics (yield, leverage, cache hit rate)
  • No operator identity, no leaderboard, no cross-operator comparison
Pricing

Free self-hosted; Cloud from $39/month

Best for

Teams monitoring LLM application costs and latency, not Cursor operator efficiency

06

Manual Cursor export + scripts

What it measures

Exporting Cursor's usage data manually and writing your own scripts to extract metrics, patterns, and trends.

Pros
  • + Maximum flexibility — you build exactly the analysis you want
  • + No new dependencies beyond Cursor itself
  • + Good for one-off investigations or bespoke reporting
Cons
  • You maintain the scripts — no scoring, no leaderboard, no operator identity
  • Cursor only; no multi-platform support without extra glue
  • Reinvents what SigRank already ships, with more effort
Pricing

Free (your time is the cost)

Best for

Tinkerers who want full control and have time to maintain glue code

The verdict

If you only use Cursor and only want a quick acceptance-rate check, Cursor's built-in insights work without installing anything. If you want to track time across editors, WakaTime supports Cursor. But if you want to know how efficiently you drive Cursor — and where you rank against operators who use Claude Code, Copilot, and 15+ other tools — SigRank is the only platform-neutral layer that scores the cascade and ranks you on a live leaderboard.

SigRank bundles ccusage, tokscale, and token-dashboard, so you get the raw counts and the efficiency scoring in one install: npm install -g sigrank.

FAQ

How do I measure my Cursor AI usage?
Cursor has built-in insights that show lines accepted, edits, and tab completions within the editor. For raw token counts, you need a tool that reads Cursor's telemetry — SigRank does this and scores it with Υ Yield (cache_read × output / input²). For a quick in-editor check, Cursor's built-in stats work without installing anything. For efficiency scoring and cross-platform ranking, install SigRank, enroll, and submit.
Does SigRank work with Cursor?
Yes. SigRank reads Cursor token telemetry locally and scores it on the same cascade axis as Claude Code, Copilot, ChatGPT, Gemini, and 15+ other platforms. Run `npm install -g sigrank`, then `sigrank enroll` to create your operator identity, and `sigrank submit` to score and publish. Your Cursor sessions contribute to the same leaderboard rank as your Claude Code or Copilot sessions — unified, not siloed. SigRank reads token counts only, never prompt content, and signs snapshots with ed25519 before they leave your device.
Are Cursor's built-in metrics enough?
It depends on what you want. Cursor's built-in insights show acceptance rate and edit counts — useful for quick in-editor feedback. But they are editor-locked (no data from Claude Code, ChatGPT, or Copilot), editor-scoped (no cross-session aggregation), and use acceptance rate as a weak proxy for efficiency. If you only use Cursor and only want a quick acceptance-rate check, the built-in stats are fine. If you want to know whether your AI usage is compounding or burning — and where you rank against operators who use other tools — you need SigRank.
What is the best Cursor AI metrics tool?
For in-editor feedback, Cursor's built-in insights are the default. For time tracking, WakaTime supports Cursor. For efficiency scoring and cross-platform ranking, SigRank is the only tool that reads Cursor token telemetry and scores it with Υ Yield, compression ratio, SNR, leverage, and velocity — then ranks you on a live leaderboard alongside operators who use Claude Code, Copilot, ChatGPT, and 15+ other platforms. SigRank bundles ccusage, tokscale, and token-dashboard, so you get the raw counts and the scoring in one install.
Can I track Cursor and Claude Code usage together?
Yes — SigRank is platform-neutral. It reads token telemetry from Cursor, Claude Code, Copilot, ChatGPT, Gemini, and 15+ other platforms, scores them all on the same cascade axis (Υ Yield), and gives you one comparable rank. Your score follows you across editors, not the other way around. Cursor's built-in metrics cover only Cursor; ccusage covers only Claude Code. SigRank is the only tool that unifies them.

Related: vs Cursor · AI Coding Efficiency Tools · AI Coding Metrics Tools · How to Measure AI Coding Efficiency