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
Stefan SchranzSEEKER II · #901.2KΥ Yield◆ Leads 100
  • Leverage · closed loop · 632×
  • Υ Yield · leads 2.7× · 1.2K
  • Cost · cost leader · $0.45/1M
  • Velocity · fast · 1.9 o/i
  • Efficacy · strong · 163.33
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Stefan SchranzThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Stefan SchranzThe 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.
Stefan SchranzDataThe Field
Raw
6.3MInput29.8K
12.0MOutput44.0K
3975.5MCache-read8.9M
122.1MCache-write470.4K
4115.9MTotal9.5M
$0.45Cost$0.55
Metrics
1.2KΥ Yield442
65.5%SNR59.6%
632×Leverage300×
1.90Velocity1.47
2.8010xDEV2.48
$0.45Cost per 1M$0.55
163.33Efficiency79.22
632:1:1.9Op Ratio300:1:1.5
4115.9MTotal9.5M
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