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

Manus ad Manum

Two operators. One cascade layer. Υ Yield, SNR, Leverage, Velocity, 10xDEV & blended cost — the data tells you not just who's ahead, but where and why.

Operator A
vs
Operator B
kookz-codeBEARER I · #4515.3KΥ Yield◆ Leads 91
  • Leverage · closed loop · 3.1K×
  • Υ Yield · leads 35× · 15.3K
  • Cost · cost leader · $0.73/1M
  • Velocity · fast · 5.0 o/i
  • Efficacy · strong · 875.03
VS91
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓kookz-codeThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑kookz-codeThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Not enough history yet — both operators need at least two snapshots to chart Υ Yield trajectory.
kookz-codeDataThe Field
Raw
358.9KInput29.8K
1.8MOutput44.0K
1106.3MCache-read8.9M
148.2MCache-write470.4K
1256.6MTotal9.5M
$0.73Cost$0.55
Metrics
15.3KΥ Yield442
83.2%SNR59.6%
3.1K×Leverage300×
4.95Velocity1.47
3.4910xDEV2.48
$0.73Cost per 1M$0.55
875.03Efficiency79.22
3082:1:5.0Op Ratio300:1:1.5
1256.6MTotal9.5M
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