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
Phil DufaultREFINER II · #634.1KΥ Yield◆ Leads 91
  • Leverage · closed loop · 892×
  • Υ Yield · leads 9.3× · 4.1K
  • Cost · cost leader · $0.65/1M
  • Velocity · fast · 4.6 o/i
  • Efficacy · strong · 243.60
VS91
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Phil DufaultThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Phil DufaultThe 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.
Phil DufaultDataThe Field
Raw
2.0MInput29.8K
9.2MOutput44.0K
1771.7MCache-read8.9M
153.5MCache-write470.4K
1936.4MTotal9.5M
$0.65Cost$0.55
Metrics
4.1KΥ Yield442
82.2%SNR59.6%
892×Leverage300×
4.61Velocity1.47
2.9510xDEV2.48
$0.65Cost per 1M$0.55
243.60Efficiency79.22
892:1:4.6Op Ratio300:1:1.5
1936.4MTotal9.5M
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