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
Supavasinan PromdetchTRANSMITTER · #4212.4KΥ Yield◆ Leads 64
  • Leverage · closed loop · 1.4K×
  • Υ Yield · leads 34.0K× · 12.4K
  • Cost · cost leader · $0.52/1M
  • Velocity · fast · 8.7 o/i
  • Efficacy · strong · 373.73
VS64
The FieldIGNITER · #12130.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Supavasinan PromdetchThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Supavasinan PromdetchThe 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.
Supavasinan PromdetchDataThe Field
Raw
1.4MInput258885.9M
12.3MOutput79899.5M
2019.9MCache-read306174.3M
79.2MCache-write6115.2M
2112.8MTotal651075.0M
$0.52Cost$3.21
Metrics
12.4KΥ Yield0
89.7%SNR23.6%
1.4K×Leverage
8.68Velocity0.31
3.1610xDEV0.07
$0.52Cost per 1M$3.21
373.73Efficiency0.38
1430:1:8.7Op Ratio1:1:0.31
2112.8MTotal651075.0M
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