How much signal does your token cascade actually compound?
Two paths. Both get you scored. Pick the one that fits.
Every turn, tokens flow through the model in four ways. Two go in (fresh input + reused cache). Two come out (the answer + saved context). The ratio between them is your cascade.
Cache read costs $0.30/M — 10× cheaper than fresh input at $3/M. The cascade is the art of replacing input with cache read.
More tokens doesn't mean better. The operators with the highest yield use almost no fresh input — they compound cached context instead. Volume-based leaderboards reward the wrong thing. SigRank surfaces the operators who actually compound.
487B tokens
ranked #1 by volume
253M tokens ★
ranked #1,142 by volume
1,900× less volume. 91,000× more yield. Composition is the only variable that matters.
Fastest path:
$ bunx sigrankReads your local logs, scores your cascade, puts you on the board.
Two paths. Both get you scored. Pick the one that fits.
Manual upload
No install. No account. Paste four numbers, get your score. Takes 30 seconds.
Open your AI usage dashboard
Go to your platform's usage page. Claude Code: ~/.claude/usage.json. OpenAI: platform.openai.com/usage. Cursor: settings → usage.
Find your four token counts
Look for: input tokens, output tokens, cache creation (write) tokens, cache read tokens. These are the four pillars. Copy each number.
Paste them into the calculator
Drop the four numbers into the paste calculator. Instant result: Υ Yield, leverage, velocity, class tier, and your archetype.
Agent install
Auto-reads your logs. Signed submissions. You're on the board. The real path.
Install the SigRank CLI
Run npm install -g sigrank. Bundles ccusage + tokscale + tokendash. Node ≥18, macOS + Linux. One install, everything you need.
Enroll your device
Run sigrank enroll. Generates an ed25519 keypair for signed submissions. The agent reads your local logs on-device — never your prompts.
Submit to the board
Run sigrank submit. The agent counts your four token pillars across all sessions, derives your cascade, and posts a signed snapshot. You're on the board.
The field separates into 10 build archetypes. Yield ranges from 0.05 (Input-Bound) to 469 (Kinetic) — a 9,000× spread. Your cascade shape decides which one you are. Where are you?
Paste four numbers and find out which archetype you are. Takes 30 seconds.
Want to understand the cascade model in depth? Learn how it works →
⊙ Data privacy
Zero-paste, on-device read
tokenpull reads local session logs and counts the four token pillars across 7d / 30d / 90d / all-time — no copy-paste, nothing to assemble by hand.
Token counts only
The agent counts tokens. It never reads the content of your prompts or replies. Only the four integers leave your machine.
Signed submissions
Each snapshot is signed with an ed25519 keypair (per-device). The server verifies the signature before accepting. No spoofing, no spoofed ranks.
Read-only by design
The agent is read-only against telemetry. It emits no prompt of its own. It measures without disturbing what it measures.
Token counts only. Never your prompts.