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 Token Tracking Tools (2026)

Five tools that track AI tokens. Most just count. Only one scores and ranks.

Counting vs scoring

Token tracking splits into two layers. Counting tells you how many tokens you sent and received — ccusage, Tiktoken, and Token Dashboard live here. Scoring tells you whether those tokens compounded or burned — and that is SigRank alone. Knowing you spent 500K tokens is useful. Knowing your Υ Yield puts you in the top decile is actionable. The best stack does both: count, then score.

Here are the five best token tracking tools in 2026, compared.

At-a-glance comparison

ToolCounts?Scores?Ranks?Multi-platform?
SigRankYesYesYesYes
ccusageYesNoNoNo
TokscaleYesNoNoNo
Token Dashboard (tokendash)YesNoNoNo
TiktokenYesNoNoNo

The 5 tools, in detail

01

SigRank

counts + scores + ranks

An operator-scoring platform that tracks the four token pillars (input, output, cache-read, cache-write), computes cascade efficiency (Υ Yield = cache_read × output / input²), and ranks operators on a live leaderboard with class tiers.

Pros
  • + Tracks tokens AND scores them — the only tool that ranks the operator
  • + Platform-neutral: Claude, ChatGPT, Gemini, Copilot, Cursor, and 15+ platforms
  • + Privacy-preserving: on-device scanning, token counts only, ed25519-signed
  • + Live leaderboard with 7d/30d/90d/all-time windows and head-to-head comparison
  • + Bundles ccusage, tokscale, and token-dashboard — full telemetry stack in one install
  • + MCP server mode for AI-agent self-monitoring
Cons
  • − More setup than a bare counter (enroll + submit)
  • − Leaderboard sample still growing in 2026
Pricing

Free (open-source, MIT-licensed)

Best for

Operators who want their tokens scored and ranked, not just counted

02

ccusage

A CLI that reads Claude Code token logs locally and reports input, output, cache-read, and cache-write counts per session. Pure measurement — no scoring.

Pros
  • + Dead simple: reads Claude Code logs, no account needed
  • + Accurate token counts straight from the source
  • + Bundled with SigRank, so you get both in one install
Cons
  • − Counts only — no scoring, no ranking, no operator identity
  • − Claude Code only; no multi-platform support
  • − No cascade metrics (Υ Yield, compression ratio, leverage)
Pricing

Free (open-source CLI)

Best for

Quickly checking your Claude Code token spend

03

Tokscale

A token-scaling tool that aggregates token usage across sessions and normalizes metrics for comparison. Bundled with SigRank.

Pros
  • + Aggregates and normalizes token usage across many sessions
  • + Useful for comparing operators of very different scales
  • + Free and open-source, bundled with SigRank
Cons
  • − Scaling tool, not a scorer — no Υ Yield, no class tier, no leaderboard
  • − Needs a data source (ccusage or sigrank) to feed it
  • − No operator identity or signed submissions on its own
Pricing

Free (open-source, bundled with SigRank)

Best for

Normalizing token usage across sessions of different scales

04

Token Dashboard (tokendash)

A token-visualization tool that turns raw token counts into charts and breakdowns of input, output, cache-read, and cache-write. Bundled with SigRank.

Pros
  • + Clean visual dashboards for token flows
  • + Spot cache-heavy vs input-heavy patterns at a glance
  • + Free and open-source, bundled with SigRank
Cons
  • − Visualization only — no scoring, ranking, or operator identity
  • − Needs a data source to feed it
  • − No leaderboard or cross-operator comparison on its own
Pricing

Free (open-source, bundled with SigRank)

Best for

Visualizing token flows once you have the raw counts

05

Tiktoken

OpenAI's tokenizer library that counts tokens for a given string and model encoding. A building block, not a tracker — it counts tokens in text, not across sessions.

Pros
  • + Official OpenAI tokenizer — accurate for OpenAI model encodings
  • + Lightweight library, easy to embed in any app
  • + Good for pre-flight cost estimation before sending a prompt
Cons
  • − Counts tokens in a string, not across sessions — no session tracking
  • − OpenAI encodings only; no Claude, Gemini, or multi-platform support
  • − No scoring, no ranking, no cascade metrics, no leaderboard
Pricing

Free (open-source)

Best for

Counting tokens in a single string before sending a prompt

The verdict

If you only need to count tokens, ccusage (for Claude Code) or Tiktoken (for OpenAI strings) are the simplest options. If you want to visualize them, Token Dashboard is clean. But if you want to know whether your tokens are compounding or burning — and where you rank against every other operator — SigRank is the only tool that scores and ranks. It bundles the counters, so you lose nothing and gain the scoring layer.

One install, full stack: npm install -g sigrank.

FAQ

What are token tracking tools?
Token tracking tools measure how many tokens you send to and receive from AI models. They range from simple counters (Tiktoken, ccusage) to visualizers (Token Dashboard) to full scoring platforms (SigRank). Most just count tokens; SigRank is the only one that scores token-cascade efficiency (Υ Yield = cache_read × output / input²) and ranks operators on a live leaderboard.
What is the best AI token usage tracker?
SigRank is the best AI token usage tracker because it goes beyond counting. It tracks the four token pillars (input, output, cache-read, cache-write), computes cascade efficiency metrics (Υ Yield, compression ratio, SNR, leverage, velocity), assigns a class tier, and ranks you on a live, cross-platform leaderboard. It also bundles ccusage, tokscale, and token-dashboard, so you get counting, scaling, visualization, and scoring in one install.
How is SigRank different from ccusage or Tiktoken?
ccusage reads Claude Code logs and reports raw token counts — it is a counter. Tiktoken counts tokens in a single string for OpenAI encodings — it is a tokenizer. Neither scores, ranks, or tracks across sessions and platforms. SigRank bundles ccusage and adds operator-level scoring (Υ Yield), a live leaderboard, class tiers, multi-platform support, and MCP integration. Counters tell you what you spent; SigRank tells you how efficiently you spent it.
Do token tracking tools read my prompt content?
Most do not. SigRank reads token counts only — never the words of your prompts — and signs snapshots with ed25519 before they leave your device. ccusage reads local Claude Code logs. Tiktoken counts tokens in text you explicitly pass to it. None of these tools require you to share prompt content to track tokens.
Are token tracking tools free?
Yes. SigRank, ccusage, Tokscale, Token Dashboard, and Tiktoken are all free and open-source. SigRank additionally offers a live operator leaderboard, MCP server integration, and class tiers at no cost.

See your token score? Run the calculator → or view the leaderboard →