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
Simon Le FournBEARER II · #3824.5KΥ Yield◆ Leads 100
  • Leverage · closed loop · 2.2K×
  • Υ Yield · leads 55× · 24.5K
  • Cost · cost leader · $0.53/1M
  • Velocity · fast · 11.1 o/i
  • Efficacy · strong · 581.02
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Simon Le FournThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Simon Le FournThe 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.
Simon Le FournDataThe Field
Raw
415.8KInput29.8K
4.6MOutput44.0K
916.2MCache-read8.9M
45.7MCache-write470.4K
966.8MTotal9.5M
$0.53Cost$0.55
Metrics
24.5KΥ Yield442
91.7%SNR59.6%
2.2K×Leverage300×
11.1Velocity1.47
3.3410xDEV2.48
$0.53Cost per 1M$0.55
581.02Efficiency79.22
2203:1:11.1Op Ratio300:1:1.5
966.8MTotal9.5M
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