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
Miguel Caballero PintoARCH+ · #26649Υ Yield◆ Leads 64
  • Υ Yield · leads 133× · 49
  • Cost · cost leader · $0.53/1M
  • Leverage · deep reuse · 90×
  • Efficacy · strong · 23.36
  • Scale · heavyweight · 1146128.0K tok
VS64
The FieldIGNITER · #12210.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Miguel Caballero PintoThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Miguel Caballero PintoThe 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.
Miguel Caballero PintoDataThe Field
Raw
12.1MInput258885.9M
6.6MOutput79899.5M
1090.0MCache-read306174.3M
37.5MCache-write6115.2M
1146.1MTotal651075.0M
$0.53Cost$3.21
Metrics
49Υ Yield0
35.1%SNR23.6%
90×Leverage
0.54Velocity0.31
1.9510xDEV0.07
$0.53Cost per 1M$3.21
23.36Efficiency0.38
90:1:0.54Op Ratio1:1:0.31
1146.1MTotal651075.0M
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