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
DavidREFINER III · #99757Υ Yield◆ Leads 82
  • Leverage · closed loop · 767×
  • Υ Yield · leads 1.7× · 757
  • Cost · cost leader · $0.50/1M
  • Efficacy · strong · 202.70
  • Scale · heavyweight · 1782000.1K tok
VS82
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓DavidThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑DavidThe 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.
DavidDataThe Field
Raw
2.2MInput29.8K
2.2MOutput44.0K
1683.0MCache-read8.9M
94.6MCache-write470.4K
1782.0MTotal9.5M
$0.50Cost$0.55
Metrics
757Υ Yield442
49.7%SNR59.6%
767×Leverage300×
0.99Velocity1.47
2.8810xDEV2.48
$0.50Cost per 1M$0.55
202.70Efficiency79.22
767:1:0.99Op Ratio300:1:1.5
1782.0MTotal9.5M
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