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
lazydecoderREFINER I · #15137.7KΥ Yield◆ Leads 100
  • Leverage · closed loop · 6.6K×
  • Υ Yield · leads 312× · 137.7K
  • Cost · cost leader · $0.41/1M
  • Velocity · fast · 21.0 o/i
  • Efficacy · strong · 1678.11
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓lazydecoderThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑lazydecoderThe 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.
lazydecoderDataThe Field
Raw
407.5KInput29.8K
8.5MOutput44.0K
2675.4MCache-read8.9M
51.1MCache-write470.4K
2735.5MTotal9.5M
$0.41Cost$0.55
Metrics
137.7KΥ Yield442
95.4%SNR59.6%
6.6K×Leverage300×
21.0Velocity1.47
3.8210xDEV2.48
$0.41Cost per 1M$0.55
1678.11Efficiency79.22
6566:1:21.0Op Ratio300:1:1.5
2735.5MTotal9.5M
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