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.

vs
pranav-krishna-05TRANSMITTER · #469.2KΥ Yield◆ Leads 64
  • Leverage · closed loop · 1.3K×
  • Υ Yield · leads 25.3K× · 9.2K
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 7.0 o/i
  • Efficacy · strong · 346.83
VS64
The FieldIGNITER · #12130.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓pranav-krishna-05The Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑pranav-krishna-05The 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.
pranav-krishna-05DataThe Field
Raw
241.8KInput258885.9M
1.7MOutput79899.5M
317.3MCache-read306174.3M
16.5MCache-write6115.2M
335.7MTotal651075.0M
$0.55Cost$3.21
Metrics
9.2KΥ Yield0
87.6%SNR23.6%
1.3K×Leverage
7.04Velocity0.31
3.1210xDEV0.07
$0.55Cost per 1M$3.21
346.83Efficiency0.38
1312:1:7.0Op Ratio1:1:0.31
335.7MTotal651075.0M
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