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
steady-oneTRANSMITTER · #134275Υ Yield◆ Leads 64
  • Leverage · closed loop · 267×
  • Υ Yield · leads 752× · 275
  • Cost · cost leader · $0.46/1M
  • Velocity · fast · 1.0 o/i
  • Efficacy · strong · 69.05
VS64
The FieldIGNITER · #12210.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓steady-oneThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑steady-oneThe 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.
steady-oneDataThe Field
Raw
16.8MInput258885.9M
17.3MOutput79899.5M
4488.8MCache-read306174.3M
135.8MCache-write6115.2M
4658.7MTotal651075.0M
$0.46Cost$3.21
Metrics
275Υ Yield0
50.7%SNR23.6%
267×Leverage
1.03Velocity0.31
2.4310xDEV0.07
$0.46Cost per 1M$3.21
69.05Efficiency0.38
267:1:1.0Op Ratio1:1:0.31
4658.7MTotal651075.0M
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