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
mingyangsun-sketchBEARER I · #811.9KΥ Yield◆ Leads 100
  • Leverage · closed loop · 662×
  • Υ Yield · leads 4.2× · 1.9K
  • Cost · cost leader · $0.47/1M
  • Velocity · fast · 2.8 o/i
  • Efficacy · strong · 171.44
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓mingyangsun-sketchThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑mingyangsun-sketchThe 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.
mingyangsun-sketchDataThe Field
Raw
1.4MInput29.8K
4.0MOutput44.0K
954.0MCache-read8.9M
30.8MCache-write470.4K
990.3MTotal9.5M
$0.47Cost$0.55
Metrics
1.9KΥ Yield442
73.7%SNR59.6%
662×Leverage300×
2.80Velocity1.47
2.8210xDEV2.48
$0.47Cost per 1M$0.55
171.44Efficiency79.22
662:1:2.8Op Ratio300:1:1.5
990.3MTotal9.5M
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