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
Cheong Gwen YitARCH+ · #24067Υ Yield◆ Leads 64
  • Υ Yield · leads 184× · 67
  • Cost · cost leader · $0.60/1M
  • Leverage · deep reuse · 98×
  • Efficacy · strong · 26.01
  • Scale · heavyweight · 7195622.8K tok
VS64
The FieldIGNITER · #12210.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Cheong Gwen YitThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Cheong Gwen YitThe 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.
Cheong Gwen YitDataThe Field
Raw
68.5MInput258885.9M
46.9MOutput79899.5M
6704.4MCache-read306174.3M
375.8MCache-write6115.2M
7195.6MTotal651075.0M
$0.60Cost$3.21
Metrics
67Υ Yield0
40.6%SNR23.6%
98×Leverage
0.68Velocity0.31
1.9910xDEV0.07
$0.60Cost per 1M$3.21
26.01Efficiency0.38
98:1:0.68Op Ratio1:1:0.31
7195.6MTotal651075.0M
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