Early access — cascade metrics are real (derived from canonical token telemetry); the operator field is a curated seed. Learn more about the data
🤖⚔️🤖 Manus ad Manum

Compare AI Operators

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
FelixBEARER III · #4649Υ Yield
  • Υ Yield · trails · 9
  • Cost · cost leader · $0.49/1M
  • Leverage · deep reuse · 50×
  • Efficacy · strong · 12.89
  • Build Archetype · amplifier
VS55
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · leads 48× · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓FelixThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑FelixThe 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.
FelixDataThe Field
Raw
11.9MInput29.8K
2.2MOutput44.0K
593.8MCache-read8.9M
16.2MCache-write470.4K
624.1MTotal9.5M
$0.49Cost$0.55
Metrics
9Υ Yield442
15.6%SNR59.6%
50×Leverage300×
0.18Velocity1.47
1.7010xDEV2.48
$0.49Cost per 1M$0.55
12.89Efficiency79.22
50:1:0.18Op Ratio300:1:1.5
624.1MTotal9.5M
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Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade