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
GaëtanTRANSMITTER · #87892Υ Yield◆ Leads 64
  • Leverage · closed loop · 374×
  • Υ Yield · leads 2.4K× · 892
  • Cost · cost leader · $0.47/1M
  • Velocity · fast · 2.4 o/i
  • Efficacy · strong · 96.29
VS64
The FieldIGNITER · #12130.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓GaëtanThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑GaëtanThe 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.
GaëtanDataThe Field
Raw
8.0MInput258885.9M
19.0MOutput79899.5M
2981.6MCache-read306174.3M
68.8MCache-write6115.2M
3077.3MTotal651075.0M
$0.47Cost$3.21
Metrics
892Υ Yield0
70.5%SNR23.6%
374×Leverage
2.38Velocity0.31
2.5710xDEV0.07
$0.47Cost per 1M$3.21
96.29Efficiency0.38
374:1:2.4Op Ratio1:1:0.31
3077.3MTotal651075.0M
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