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
Arnold SobanskiTRANSMITTER · #181142Υ Yield◆ Leads 64
  • Leverage · closed loop · 142×
  • Υ Yield · leads 390× · 142
  • Cost · cost leader · $0.54/1M
  • Efficacy · strong · 37.22
  • Scale · heavyweight · 4156669.3K tok
VS64
The FieldIGNITER · #12210.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Arnold SobanskiThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Arnold SobanskiThe 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.
Arnold SobanskiDataThe Field
Raw
27.7MInput258885.9M
27.7MOutput79899.5M
3952.4MCache-read306174.3M
148.9MCache-write6115.2M
4156.7MTotal651075.0M
$0.54Cost$3.21
Metrics
142Υ Yield0
50.0%SNR23.6%
142×Leverage
1.00Velocity0.31
2.1510xDEV0.07
$0.54Cost per 1M$3.21
37.22Efficiency0.38
142:1:1.00Op Ratio1:1:0.31
4156.7MTotal651075.0M
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