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
DHxWhyPOWER III · #3627.3KΥ Yield◆ Leads 100
  • Leverage · closed loop · 2.9K×
  • Υ Yield · leads 62× · 27.3K
  • Cost · cost leader · $0.46/1M
  • Velocity · fast · 9.3 o/i
  • Efficacy · strong · 762.25
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓DHxWhyThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑DHxWhyThe 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.
DHxWhyDataThe Field
Raw
7.4MInput29.8K
68.9MOutput44.0K
21810.2MCache-read8.9M
754.6MCache-write470.4K
22641.0MTotal9.5M
$0.46Cost$0.55
Metrics
27.3KΥ Yield442
90.3%SNR59.6%
2.9K×Leverage300×
9.28Velocity1.47
3.4710xDEV2.48
$0.46Cost per 1M$0.55
762.25Efficiency79.22
2938:1:9.3Op Ratio300:1:1.5
22641.0MTotal9.5M
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