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
FernandoREFINER I · #46010Υ Yield
  • Υ Yield · trails · 10
  • Cost · cost leader · $0.50/1M
  • Leverage · deep reuse · 72×
  • Efficacy · strong · 18.90
  • Scale · heavyweight · 2553170.5K tok
VS55
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · leads 46× · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓FernandoThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑FernandoThe 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.
FernandoDataThe Field
Raw
33.3MInput29.8K
4.4MOutput44.0K
2414.1MCache-read8.9M
101.3MCache-write470.4K
2553.2MTotal9.5M
$0.50Cost$0.55
Metrics
10Υ Yield442
11.7%SNR59.6%
72×Leverage300×
0.13Velocity1.47
1.8610xDEV2.48
$0.50Cost per 1M$0.55
18.90Efficiency79.22
72:1:0.13Op Ratio300:1:1.5
2553.2MTotal9.5M
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Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade