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
ins25kSEEKER III · #4713.5KΥ Yield◆ Leads 100
  • Leverage · closed loop · 2.1K×
  • Υ Yield · leads 30× · 13.5K
  • Cost · cost leader · $0.47/1M
  • Velocity · fast · 6.3 o/i
  • Efficacy · strong · 557.72
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓ins25kThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑ins25kThe 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.
ins25kDataThe Field
Raw
1.7MInput29.8K
10.8MOutput44.0K
3667.3MCache-read8.9M
142.3MCache-write470.4K
3822.0MTotal9.5M
$0.47Cost$0.55
Metrics
13.5KΥ Yield442
86.3%SNR59.6%
2.1K×Leverage300×
6.29Velocity1.47
3.3310xDEV2.48
$0.47Cost per 1M$0.55
557.72Efficiency79.22
2142:1:6.3Op Ratio300:1:1.5
3822.0MTotal9.5M
⚔ Throw-DownsComing soonChallenge on X