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
gggodlinARCH+ · #21885Υ Yield◆ Leads 64
  • Leverage · closed loop · 111×
  • Υ Yield · leads 234× · 85
  • Cost · cost leader · $0.58/1M
  • Efficacy · strong · 29.29
  • Scale · heavyweight · 13996421.5K tok
VS64
The FieldIGNITER · #12210.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓gggodlinThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑gggodlinThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Υ YIELD · OVERTIMEgggodlinThe FieldField avg-22114477110Field avg 28.585.307-0507-13
gggodlinDataThe Field
Raw
118.4MInput258885.9M
91.0MOutput79899.5M
13148.8MCache-read306174.3M
638.2MCache-write6115.2M
13996.4MTotal651075.0M
$0.58Cost$3.21
Metrics
85Υ Yield0
43.5%SNR23.6%
111×Leverage
0.77Velocity0.31
2.0510xDEV0.07
$0.58Cost per 1M$3.21
29.29Efficiency0.38
111:1:0.77Op Ratio1:1:0.31
13996.4MTotal651075.0M
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