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
qkrehgus714IGNITER III · #124393Υ Yield◆ Leads 64
  • Leverage · closed loop · 192×
  • Cost · cost leader · $0.59/1M
  • Velocity · fast · 2.0 o/i
  • Efficacy · strong · 50.38
  • Build Archetype · kinetic
VS64
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
  • Build Archetype · convergent
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓qkrehgus714The Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑qkrehgus714The 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.
qkrehgus714DataThe Field
Raw
429.7KInput29.8K
880.5KOutput44.0K
82.5MCache-read8.9M
3.3MCache-write470.4K
87.0MTotal9.5M
$0.59Cost$0.55
Metrics
393Υ Yield442
67.2%SNR59.6%
192×Leverage300×
2.05Velocity1.47
2.2810xDEV2.48
$0.59Cost per 1M$0.55
50.38Efficiency79.22
192:1:2.0Op Ratio300:1:1.5
87.0MTotal9.5M
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