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
Dio MaulanaSEEKER I · #762.4KΥ Yield◆ Leads 100
  • Leverage · closed loop · 962×
  • Υ Yield · leads 5.4× · 2.4K
  • Cost · cost leader · $0.45/1M
  • Velocity · fast · 2.5 o/i
  • Efficacy · strong · 248.93
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Dio MaulanaThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Dio MaulanaThe 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.
Dio MaulanaDataThe Field
Raw
5.9MInput29.8K
14.5MOutput44.0K
5685.3MCache-read8.9M
183.3MCache-write470.4K
5889.0MTotal9.5M
$0.45Cost$0.55
Metrics
2.4KΥ Yield442
71.1%SNR59.6%
962×Leverage300×
2.46Velocity1.47
2.9810xDEV2.48
$0.45Cost per 1M$0.55
248.93Efficiency79.22
962:1:2.5Op Ratio300:1:1.5
5889.0MTotal9.5M
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