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
pranav-krishna-05IGNITER I · #529.2KΥ Yield◆ Leads 100
  • Leverage · closed loop · 1.3K×
  • Υ Yield · leads 21× · 9.2K
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 7.0 o/i
  • Efficacy · strong · 346.83
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓pranav-krishna-05The Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑pranav-krishna-05The 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.
pranav-krishna-05DataThe Field
Raw
241.8KInput29.8K
1.7MOutput44.0K
317.3MCache-read8.9M
16.5MCache-write470.4K
335.7MTotal9.5M
$0.55Cost$0.55
Metrics
9.2KΥ Yield442
87.6%SNR59.6%
1.3K×Leverage300×
7.04Velocity1.47
3.1210xDEV2.48
$0.55Cost per 1M$0.55
346.83Efficiency79.22
1312:1:7.0Op Ratio300:1:1.5
335.7MTotal9.5M
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