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
igoyaaaIGNITER III · #103612Υ Yield◆ Leads 64
  • Leverage · closed loop · 357×
  • Υ Yield · leads 1.4× · 612
  • Cost · cost leader · $0.53/1M
  • Velocity · fast · 1.7 o/i
  • Efficacy · strong · 93.89
VS64
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓igoyaaaThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑igoyaaaThe 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.
igoyaaaDataThe Field
Raw
20.9KInput29.8K
35.9KOutput44.0K
7.5MCache-read8.9M
357.2KCache-write470.4K
7.9MTotal9.5M
$0.53Cost$0.55
Metrics
612Υ Yield442
63.2%SNR59.6%
357×Leverage300×
1.72Velocity1.47
2.5510xDEV2.48
$0.53Cost per 1M$0.55
93.89Efficiency79.22
357:1:1.7Op Ratio300:1:1.5
7.9MTotal9.5M
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