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
WingHo TangBASE I · #145265Υ Yield
  • Leverage · closed loop · 249×
  • Υ Yield · trails · 265
  • Cost · cost leader · $0.50/1M
  • Velocity · fast · 1.1 o/i
  • Efficacy · strong · 65.01
VS55
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · leads 1.7× · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓WingHo TangThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑WingHo TangThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Υ YIELD · OVERTIMEWingHo TangThe FieldField avg180259338416495Field avg 28.2265.007-1308-30
WingHo TangDataThe Field
Raw
69.3MInput29.8K
73.7MOutput44.0K
17250.0MCache-read8.9M
687.6MCache-write470.4K
18080.6MTotal9.5M
$0.50Cost$0.55
Metrics
265Υ Yield442
51.6%SNR59.6%
249×Leverage300×
1.06Velocity1.47
2.4010xDEV2.48
$0.50Cost per 1M$0.55
65.01Efficiency79.22
249:1:1.1Op Ratio300:1:1.5
18080.6MTotal9.5M
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