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
방성환REFINER I · #673.7KΥ Yield◆ Leads 100
  • Leverage · closed loop · 738×
  • Υ Yield · leads 8.3× · 3.7K
  • Cost · cost leader · $0.51/1M
  • Velocity · fast · 5.0 o/i
  • Efficacy · strong · 191.79
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓방성환The Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑방성환The 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.
방성환DataThe Field
Raw
3.5MInput29.8K
17.3MOutput44.0K
2556.7MCache-read8.9M
85.2MCache-write470.4K
2662.7MTotal9.5M
$0.51Cost$0.55
Metrics
3.7KΥ Yield442
83.3%SNR59.6%
738×Leverage300×
4.98Velocity1.47
2.8710xDEV2.48
$0.51Cost per 1M$0.55
191.79Efficiency79.22
738:1:5.0Op Ratio300:1:1.5
2662.7MTotal9.5M
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