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
fivesmallqARCH · #4609Υ Yield
  • Υ Yield · leads 25× · 9
  • Cost · cost leader · $0.56/1M
  • Leverage · deep reuse · 40×
  • Efficacy · strong · 10.31
  • Scale · heavyweight · 2961351.1K tok
VS46
The FieldIGNITER · #12210.37Υ Yield◆ Leads 64
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓fivesmallqThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑fivesmallqThe 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.
fivesmallqDataThe Field
Raw
70.1MInput258885.9M
16.2MOutput79899.5M
2772.7MCache-read306174.3M
102.3MCache-write6115.2M
2961.4MTotal651075.0M
$0.56Cost$3.21
Metrics
9Υ Yield0
18.8%SNR23.6%
40×Leverage
0.23Velocity0.31
1.6010xDEV0.07
$0.56Cost per 1M$3.21
10.31Efficiency0.38
40:1:0.23Op Ratio1:1:0.31
2961.4MTotal651075.0M
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