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
MinJeong JeonBEARER II · #102614Υ Yield◆ Leads 100
  • Leverage · closed loop · 374×
  • Υ Yield · leads 1.4× · 614
  • Cost · cost leader · $0.44/1M
  • Velocity · fast · 1.6 o/i
  • Efficacy · strong · 95.65
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓MinJeong JeonThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑MinJeong JeonThe 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.
MinJeong JeonDataThe Field
Raw
2.2MInput29.8K
3.7MOutput44.0K
836.8MCache-read8.9M
16.5MCache-write470.4K
859.2MTotal9.5M
$0.44Cost$0.55
Metrics
614Υ Yield442
62.2%SNR59.6%
374×Leverage300×
1.64Velocity1.47
2.5710xDEV2.48
$0.44Cost per 1M$0.55
95.65Efficiency79.22
374:1:1.6Op Ratio300:1:1.5
859.2MTotal9.5M
⚔ Throw-DownsComing soonChallenge on X