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
mag123cSEEKER III · #25860Υ Yield◆ Leads 73
  • Leverage · closed loop · 576×
  • Υ Yield · trails · 60
  • Cost · cost leader · $0.52/1M
  • Efficacy · strong · 153.44
  • Scale · heavyweight · 3147456.8K tok
VS73
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · leads 7.3× · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓mag123cThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑mag123cThe 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.
mag123cDataThe Field
Raw
5.1MInput29.8K
536.0KOutput44.0K
2951.5MCache-read8.9M
190.3MCache-write470.4K
3147.5MTotal9.5M
$0.52Cost$0.55
Metrics
60Υ Yield442
9.5%SNR59.6%
576×Leverage300×
0.10Velocity1.47
2.7610xDEV2.48
$0.52Cost per 1M$0.55
153.44Efficiency79.22
576:1:0.10Op Ratio300:1:1.5
3147.5MTotal9.5M
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