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
parksangjiTRANSMITTER · #204108Υ Yield◆ Leads 64
  • Leverage · closed loop · 117×
  • Υ Yield · leads 296× · 108
  • Cost · cost leader · $0.54/1M
  • Efficacy · strong · 30.29
  • Scale · heavyweight · 3491962.3K tok
VS64
The FieldIGNITER · #12210.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓parksangjiThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑parksangjiThe 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.
parksangjiDataThe Field
Raw
28.6MInput258885.9M
26.5MOutput79899.5M
3331.2MCache-read306174.3M
105.7MCache-write6115.2M
3492.0MTotal651075.0M
$0.54Cost$3.21
Metrics
108Υ Yield0
48.1%SNR23.6%
117×Leverage
0.93Velocity0.31
2.0710xDEV0.07
$0.54Cost per 1M$3.21
30.29Efficiency0.38
117:1:0.93Op Ratio1:1:0.31
3492.0MTotal651075.0M
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