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
Larkin Williams-CaponeTRANSMITTER · #123367Υ Yield◆ Leads 64
  • Leverage · closed loop · 661×
  • Υ Yield · leads 1.0K× · 367
  • Cost · cost leader · $0.51/1M
  • Efficacy · strong · 175.10
  • Scale · heavyweight · 3643695.5K tok
VS64
The FieldIGNITER · #12210.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Larkin Williams-CaponeThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Larkin Williams-CaponeThe 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.
Larkin Williams-CaponeDataThe Field
Raw
5.2MInput258885.9M
2.9MOutput79899.5M
3433.4MCache-read306174.3M
202.2MCache-write6115.2M
3643.7MTotal651075.0M
$0.51Cost$3.21
Metrics
367Υ Yield0
35.7%SNR23.6%
661×Leverage
0.55Velocity0.31
2.8210xDEV0.07
$0.51Cost per 1M$3.21
175.10Efficiency0.38
661:1:0.55Op Ratio1:1:0.31
3643.7MTotal651075.0M
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