Introducing the new standard in AI evaluation & benchmarks
Operator Performance Signature
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We measure the architecture of users' token cascade to identify patterns, margins, and operator signature — revealing whether signal is compounded or tokens burned. Most platforms reward volume. SigRank rewards structure.
Fair warning: the blade cuts both ways.
Identifying Burners, Builders, and 10×ers.
signal AF
| Metric | Human Center of Mass* | Power users† | Top Evals to date‡ |
|---|---|---|---|
| Υ Yield | 1.88 | 239.99 | 941.23 |
| SNR | 0.09 | 0.51 | 0.63 |
| Velocity (O/I) | 0.10 | 1.03 | 1.70 |
| Leverage (CR/I) | 20.2× | 242.8× | 553.2× |
| 10xDEV (log₁₀) | 1.31 | 2.39 | 2.74 |
| Efficiency (vs AA 4.0) | 5.22 | 63.64 | 141.90 |
| Operating Ratio (C:I:O) | 20 : 1 : 0.10 | 243 : 1 : 1.03 | 553 : 1 : 1.70 |
† Power users: median of the top 100 real operators by Υ Yield.
Sources: all three columns are measured live from the all-time board (auto-pulled at render). Average Users = median of all real operators; Power users = median of the top 100 by yield; Top Evals = the single leading operator. All derived from canonical four-pillar token telemetry. Token counts only.
The baseline builds. The field caches. A few compound.
Read it as a token cascade: Cache : Input : Output. The median operator on the board sits at 20 : 1 : 0.10 (the leftmost column) — the typical operator, the 50th percentile of everyone measured.
The median of the top 100 operators lands at 243 : 1 : 1.03. What they give up in output they bank in cache — the typical elite performer.
The top operator on the live board sits at 553 : 1 : 1.70: every input token returns multiple outputs while carrying a deep cache. That's the eval to beat.
Real operators. Real cascades.
▸▾Live activitycoming soon
The leaderboard is the product — scored live by the same engine that scores you.
Three commands. That's it.
The SigRank agent reads your local AI session logs on-device, derives your token cascade, and publishes to the board. No paste, no prompts read — only the four token counts leave your machine. ccusage, tokscale, and tokendash are bundled — no separate installs.
Install
npm install -g sigrankPulls the agent + ccusage + tokscale + tokendash in one install. Node ≥18, macOS + Linux.
Sign in
sigrank enrollPaste a connect code from signalaf.com → Settings → "New key". Binds your device to your operator identity.
Submit to the board
sigrank submitSigns + publishes your cascade. Your rank updates live on signalaf.com.
Don't want to leave your agent? Just tell it to run npx sigrank to see your cascade, or npx sigrank submit to publish (sign in once first with npx sigrank enroll). It reads your logs, derives the cascade, and submits — you don't paste anything. For direct tool calls, wire it as an MCP server — see the local agent wiki page.
What we open. What we keep.
Trust requires transparency. A leaderboard requires a moat. We open everything that proves the system is honest — and keep everything that prevents it from being gamed or cloned.
What we publish
Everything that makes the privacy claim verifiable. Read the code. Inspect the schema. Trust by audit, not promise.
- ✓The Υ Yield formula(cache_read · output) / input² — the rank metric, in the open
- ✓Local agent source codeEvery line auditable · See exactly what gets sent
- ✓Snapshot payload schemaThe exact four token pillars that cross the network
- ✓Cascade metric definitionsSNR, Leverage, Velocity, 10xDEV — every formula published
- ✓Class taxonomy and tier names9 classes from Transmitter to Igniter
- ✓Privacy guaranteesNo raw transcripts · signed snapshots · verifiable counts
- ✓Adapter SDK + public REST APIBuild integrations · Read boards, profiles, snapshots
- ✓Ruleset version historyEvery change documented and replayable
What we keep
The moat. The math that prevents gaming and cloning. Without these, anyone could rebuild a clone with our data and undercut the leaderboard.
- ⊘Class threshold breakpointsThe exact SNR / 10xDEV cuts. Why "rare" stays rare.
- ⊘Species classifier weightsThe velocity / leverage quadrant boundaries
- ⊘Promotion stickiness rulesHow a class is held vs. demoted across windows
- ⊘Recency modifier curvesHow live rankings decay with inactivity
- ⊘Anti-gaming detectionPattern matching against spam, redundancy, synthetic inflation
- ⊘Reader-robustness normalizationHolding rank stable across token readers (RS.xx)
- ⊘The verification batteryThe deeper signal-integrity checks behind the audit tier
- ⊘Corpus + MO§ES anchorThe verified seed that makes the field hard to clone
Free for ranking. Back the build for what's next.
The leaderboard is free and stays free — your cascade metrics, your class, your rank, no paywall. A precision tier is in the works; until it's ironed out, early supporters fund the build and lock in lifetime founding-supporter perks.
Operator
$0★ · always free
- →Submit token telemetry, get ranked instantly
- →Full cascade layer — Υ Yield, SNR, Leverage, Velocity, 10xDEV
- →Cascade species + class assignment
- →Public leaderboard with platform filters
- →Head-to-head compare on the cascade metrics
- →Operator profile with the cascade fingerprint
- →MCP server for Claude Code, Cursor, and any MCP-compatible client
Back the build
Pay what helps★ · lock in founding-supporter perks
- →Pro is being built — back it early and shape it
- →Lifetime founding-supporter status + badge
- →First access to the precision tier when it ships
- →Founder perks (TBD) grandfathered in at this rate
- →Direct line on what gets built next
- →The free board stays free — this funds the build
- →Help keep the corpus verified + independent
Four integers in, full ledger out.
Architecture is the only variable that matters. Run the local agent or just paste your numbers — see your Υ Yield, your class, and your projected rank in under a minute.
Learn more
AI Benchmarking · AI Coding Metrics · AI Operator Scoring · Operator Performance · Cascade Analysis