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
김태경(Taegyeong Kim)SEEKER III · #801.9KΥ Yield◆ Leads 100
  • Leverage · closed loop · 1.1K×
  • Υ Yield · leads 4.4× · 1.9K
  • Cost · cost leader · $0.50/1M
  • Velocity · fast · 1.7 o/i
  • Efficacy · strong · 302.72
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓김태경(Taegyeong Kim)The Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑김태경(Taegyeong Kim)The 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.
김태경(Taegyeong Kim)DataThe Field
Raw
2.5MInput29.8K
4.1MOutput44.0K
2822.7MCache-read8.9M
151.5MCache-write470.4K
2980.8MTotal9.5M
$0.50Cost$0.55
Metrics
1.9KΥ Yield442
62.7%SNR59.6%
1.1K×Leverage300×
1.68Velocity1.47
3.0610xDEV2.48
$0.50Cost per 1M$0.55
302.72Efficiency79.22
1148:1:1.7Op Ratio300:1:1.5
2980.8MTotal9.5M
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