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
Dinesh RawatSEEKER I · #101630Υ Yield◆ Leads 82
  • Leverage · closed loop · 582×
  • Υ Yield · leads 1.4× · 630
  • Cost · cost leader · $0.43/1M
  • Velocity · fast · 1.1 o/i
  • Efficacy · strong · 149.87
VS82
The FieldSEEKER I · #116442Υ Yield
  • Leverage · closed loop · 300×
  • Υ Yield · trails · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Dinesh RawatThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Dinesh RawatThe 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.
Dinesh RawatDataThe Field
Raw
9.5MInput29.8K
10.3MOutput44.0K
5530.4MCache-read8.9M
157.9MCache-write470.4K
5708.1MTotal9.5M
$0.43Cost$0.55
Metrics
630Υ Yield442
52.0%SNR59.6%
582×Leverage300×
1.08Velocity1.47
2.7610xDEV2.48
$0.43Cost per 1M$0.55
149.87Efficiency79.22
582:1:1.1Op Ratio300:1:1.5
5708.1MTotal9.5M
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