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
Aayush GuptaBASE I · #851.7KΥ Yield◆ Leads 100
  • Leverage · closed loop · 861×
  • Υ Yield · leads 3.8× · 1.7K
  • Cost · cost leader · $0.42/1M
  • Velocity · fast · 1.9 o/i
  • Efficacy · strong · 221.04
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Aayush GuptaThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Aayush GuptaThe 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.
Aayush GuptaDataThe Field
Raw
16.8MInput29.8K
32.6MOutput44.0K
14472.2MCache-read8.9M
352.5MCache-write470.4K
14874.1MTotal9.5M
$0.42Cost$0.55
Metrics
1.7KΥ Yield442
66.0%SNR59.6%
861×Leverage300×
1.94Velocity1.47
2.9410xDEV2.48
$0.42Cost per 1M$0.55
221.04Efficiency79.22
861:1:1.9Op Ratio300:1:1.5
14874.1MTotal9.5M
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