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
ErikREFINER II · #35121Υ Yield
  • Leverage · closed loop · 232×
  • Υ Yield · trails · 21
  • Cost · cost leader · $0.49/1M
  • Efficacy · strong · 60.96
  • Scale · heavyweight · 1975763.6K tok
VS55
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · leads 21× · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓ErikThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑ErikThe 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.
ErikDataThe Field
Raw
8.1MInput29.8K
725.8KOutput44.0K
1868.1MCache-read8.9M
98.9MCache-write470.4K
1975.8MTotal9.5M
$0.49Cost$0.55
Metrics
21Υ Yield442
8.3%SNR59.6%
232×Leverage300×
0.09Velocity1.47
2.3610xDEV2.48
$0.49Cost per 1M$0.55
60.96Efficiency79.22
232:1:0.09Op Ratio300:1:1.5
1975.8MTotal9.5M
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Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade