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
Jurij KochSEEKER II · #45110Υ Yield
  • Υ Yield · trails · 10
  • Cost · cost leader · $0.65/1M
  • Leverage · deep reuse · 40×
  • Efficacy · strong · 10.74
  • Scale · heavyweight · 4193393.9K tok
VS46
The FieldSEEKER I · #116442Υ Yield◆ Leads 64
  • Leverage · closed loop · 300×
  • Υ Yield · leads 44× · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Jurij KochThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Jurij KochThe 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.
Jurij KochDataThe Field
Raw
95.4MInput29.8K
23.7MOutput44.0K
3826.9MCache-read8.9M
247.4MCache-write470.4K
4193.4MTotal9.5M
$0.65Cost$0.55
Metrics
10Υ Yield442
19.9%SNR59.6%
40×Leverage300×
0.25Velocity1.47
1.6010xDEV2.48
$0.65Cost per 1M$0.55
10.74Efficiency79.22
40:1:0.25Op Ratio300:1:1.5
4193.4MTotal9.5M
⚔ Throw-DownsComing soonChallenge on X

Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade