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
황준환(R&D)TRANSMITTER · #170170Υ Yield◆ Leads 64
  • Leverage · closed loop · 160×
  • Υ Yield · leads 465× · 170
  • Cost · cost leader · $0.52/1M
  • Velocity · fast · 1.1 o/i
  • Efficacy · strong · 41.79
VS64
The FieldIGNITER · #12210.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓황준환(R&D)The Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑황준환(R&D)The 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.
황준환(R&D)DataThe Field
Raw
17.3MInput258885.9M
18.3MOutput79899.5M
2777.6MCache-read306174.3M
97.4MCache-write6115.2M
2910.7MTotal651075.0M
$0.52Cost$3.21
Metrics
170Υ Yield0
51.4%SNR23.6%
160×Leverage
1.06Velocity0.31
2.2110xDEV0.07
$0.52Cost per 1M$3.21
41.79Efficiency0.38
160:1:1.1Op Ratio1:1:0.31
2910.7MTotal651075.0M
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