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
LEE GANGMINBEARER III · #5011.3KΥ Yield◆ Leads 100
  • Leverage · closed loop · 1.4K×
  • Υ Yield · leads 25× · 11.3K
  • Cost · cost leader · $0.53/1M
  • Velocity · fast · 7.9 o/i
  • Efficacy · strong · 375.12
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓LEE GANGMINThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑LEE GANGMINThe 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.
LEE GANGMINDataThe Field
Raw
427.1KInput29.8K
3.4MOutput44.0K
610.0MCache-read8.9M
27.4MCache-write470.4K
641.2MTotal9.5M
$0.53Cost$0.55
Metrics
11.3KΥ Yield442
88.7%SNR59.6%
1.4K×Leverage300×
7.89Velocity1.47
3.1510xDEV2.48
$0.53Cost per 1M$0.55
375.12Efficiency79.22
1428:1:7.9Op Ratio300:1:1.5
641.2MTotal9.5M
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