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

Composition

3Repeated experiment

How token flow is composed across the four pillars — the structural pattern of token usage.

Last updated: 2026-09-01Spec: SigRank Standard v1.0

Definition

How token flow is composed across the four pillars (input, output, cache_creation, cache_read). The structural pattern of token usage.

Inputs

The four raw token pillars.

Derived variables

Ratios between pillars (transmission, commitment, reuse), cascade structure.

Claim

Composition reveals how an operator structures their AI interaction — not just how much they produce, but how they use cache, reuse, and fresh input.

Test

Compare composition profiles across operators and archetypes.

Observable

Pillar ratios, cascade stage values, archetype classification.

Falsifier

If composition profiles are identical across all operators, composition is not a meaningful measurement.

Evidence

10 composition archetypes identified across 4 families in field data.

Limitations

Composition is descriptive, not evaluative — a composition profile is not "better" without context.

Lineage

SigRank archetype taxonomy, cascade ontology. Architecture: mos2es.com/architecture.

Cross-references