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
Grishin VladREFINER II · #7839.6KΥ Yield◆ Leads 100
  • Leverage · closed loop · 16.9K×
  • Υ Yield · leads 1.9K× · 839.6K
  • Cost · cost leader · $0.42/1M
  • Velocity · fast · 49.6 o/i
  • Efficacy · strong · 4343.64
VS100
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Grishin VladThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Grishin VladThe 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.
Grishin VladDataThe Field
Raw
119.1KInput29.8K
5.9MOutput44.0K
2018.7MCache-read8.9M
45.4MCache-write470.4K
2070.1MTotal9.5M
$0.42Cost$0.55
Metrics
839.6KΥ Yield442
98.0%SNR59.6%
16.9K×Leverage300×
49.6Velocity1.47
4.2310xDEV2.48
$0.42Cost per 1M$0.55
4343.64Efficiency79.22
16944:1:49.6Op Ratio300:1:1.5
2070.1MTotal9.5M
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