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
Xuezhou DaiBASE II · #615.0KΥ Yield◆ Leads 100
  • Leverage · closed loop · 1.3K×
  • Υ Yield · leads 11× · 5.0K
  • Cost · cost leader · $0.40/1M
  • Velocity · fast · 4.0 o/i
  • Efficacy · strong · 321.17
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Xuezhou DaiThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Xuezhou DaiThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Υ YIELD · OVERTIMEXuezhou DaiThe FieldField avg-1150863287548886900Field avg 28.25040.607-1309-04
Xuezhou DaiDataThe Field
Raw
10.0MInput29.8K
40.0MOutput44.0K
12628.4MCache-read8.9M
195.2MCache-write470.4K
12873.6MTotal9.5M
$0.40Cost$0.55
Metrics
5.0KΥ Yield442
80.0%SNR59.6%
1.3K×Leverage300×
4.00Velocity1.47
3.1010xDEV2.48
$0.40Cost per 1M$0.55
321.17Efficiency79.22
1261:1:4.0Op Ratio300:1:1.5
12873.6MTotal9.5M
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