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.

vs
pgeonuTRANSMITTER · #821.2KΥ Yield◆ Leads 64
  • Leverage · closed loop · 477×
  • Υ Yield · leads 3.2K× · 1.2K
  • Cost · cost leader · $0.78/1M
  • Velocity · fast · 2.4 o/i
  • Efficacy · strong · 135.87
VS64
The FieldIGNITER · #12130.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓pgeonuThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑pgeonuThe 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.
pgeonuDataThe Field
Raw
283.9KInput258885.9M
694.8KOutput79899.5M
135.4MCache-read306174.3M
18.2MCache-write6115.2M
154.6MTotal651075.0M
$0.78Cost$3.21
Metrics
1.2KΥ Yield0
71.0%SNR23.6%
477×Leverage
2.45Velocity0.31
2.6810xDEV0.07
$0.78Cost per 1M$3.21
135.87Efficiency0.38
477:1:2.4Op Ratio1:1:0.31
154.6MTotal651075.0M
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