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
isacBEARER II · #108492Υ Yield◆ Leads 73
  • Leverage · closed loop · 244×
  • Cost · cost leader · $0.63/1M
  • Velocity · fast · 2.0 o/i
  • Efficacy · strong · 65.48
  • Build Archetype · convergent
VS73
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
  • Build Archetype · convergent
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓isacThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑isacThe 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.
isacDataThe Field
Raw
3.7MInput29.8K
7.3MOutput44.0K
892.2MCache-read8.9M
56.6MCache-write470.4K
959.8MTotal9.5M
$0.63Cost$0.55
Metrics
492Υ Yield442
66.8%SNR59.6%
244×Leverage300×
2.01Velocity1.47
2.3910xDEV2.48
$0.63Cost per 1M$0.55
65.48Efficiency79.22
244:1:2.0Op Ratio300:1:1.5
959.8MTotal9.5M
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