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

Operator Class Checker

Which tier are you? Enter a yield score — or four token pillars to compute one — and see your class tier on the ladder from IGNITER to TRANSMITTER.

Computed yield3.50
BUILDER

A productive, compounding cascade. Good cache reuse and solid output density. Most strong operators live here — efficient without being extraordinary.

IGNITER< 0.5
SEEKER0.5 – 2
BUILDER2 – 10◆ you are here
TRANSMITTER10+

Class thresholds are approximate (IGNITER < 0.5, SEEKER 0.5–2, BUILDER 2–10, TRANSMITTER 10+). Authoritative tiers are assigned server-side from signed snapshots.

The class ladder, explained

Every operator starts as an IGNITER — tokens burned for context, nothing yet compounding. The first promotion comes from caching, not from typing more. SEEKER operators have a working cascade but spend most input once. BUILDER operators compound: good cache reuse, dense output. TRANSMITTER operators turn cached context into a multiplier — every fresh input yields outsized output. The ladder measures the architecture of your cascade, not your raw spend.

Thresholds shown here are approximate. The authoritative tier is computed server-side from ed25519-signed snapshots submitted via the SigRank CLI — see /score to submit your own.

Frequently asked questions

What are the AI operator class tiers?

SigRank assigns every operator a class tier based on their Υ Yield score, from low to high: IGNITER, SEEKER, BUILDER, and TRANSMITTER. The tier describes the architecture of the operator’s token cascade — whether signal is compounding or tokens are being burned — not the AI model being driven.

What yield score do I need for each tier?

Approximate thresholds: IGNITER is below 0.5, SEEKER is 0.5–2, BUILDER is 2–10, and TRANSMITTER is 10 and above. These are approximate bands; the authoritative tier is assigned server-side from signed token-telemetry snapshots on the leaderboard.

Does the class tier depend on which AI model I use?

No. SigRank scores the operator — the human driving the AI — not the model. The four token pillars are platform-neutral, so a Claude operator and a ChatGPT operator can be compared on the same tier ladder. A strong operator compounds signal on any model.

How do I raise my operator class?

The fastest gains come from prompt caching (raising cache_read and cache hit rate) and from denser output per fresh input (raising compression ratio). Yield rewards both at once. Typing more input without caching or denser output rarely moves the tier.

Is the class tier the same as a rank?

No. Rank is your ordinal position on the leaderboard (1st, 50th, etc.). Class tier is a performance band derived from your yield score. Many operators share a tier; only one holds a given rank.