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
peturelvarSEEKER I · #2378.5KΥ Yield◆ Leads 100
  • Leverage · closed loop · 4.3K×
  • Υ Yield · leads 178× · 78.5K
  • Cost · cost leader · $0.45/1M
  • Velocity · fast · 18.1 o/i
  • Efficacy · strong · 1119.36
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓peturelvarThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑peturelvarThe 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.
peturelvarDataThe Field
Raw
1.4MInput29.8K
25.3MOutput44.0K
6071.8MCache-read8.9M
167.7MCache-write470.4K
6266.2MTotal9.5M
$0.45Cost$0.55
Metrics
78.5KΥ Yield442
94.8%SNR59.6%
4.3K×Leverage300×
18.1Velocity1.47
3.6410xDEV2.48
$0.45Cost per 1M$0.55
1119.36Efficiency79.22
4340:1:18.1Op Ratio300:1:1.5
6266.2MTotal9.5M
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