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
basejbSEEKER II · #566.1KΥ Yield◆ Leads 100
  • Leverage · closed loop · 1.8K×
  • Υ Yield · leads 14× · 6.1K
  • Cost · cost leader · $0.42/1M
  • Velocity · fast · 3.5 o/i
  • Efficacy · strong · 454.02
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓basejbThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑basejbThe 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.
basejbDataThe Field
Raw
2.5MInput29.8K
8.6MOutput44.0K
4380.1MCache-read8.9M
120.6MCache-write470.4K
4511.8MTotal9.5M
$0.42Cost$0.55
Metrics
6.1KΥ Yield442
77.6%SNR59.6%
1.8K×Leverage300×
3.47Velocity1.47
3.2510xDEV2.48
$0.42Cost per 1M$0.55
454.02Efficiency79.22
1764:1:3.5Op Ratio300:1:1.5
4511.8MTotal9.5M
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