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
Alvin Indra PratamaARCH+ · #25557Υ Yield◆ Leads 64
  • Leverage · closed loop · 102×
  • Υ Yield · leads 155× · 57
  • Cost · cost leader · $0.50/1M
  • Efficacy · strong · 26.56
  • Scale · heavyweight · 5771204.2K tok
VS64
The FieldIGNITER · #12210.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Alvin Indra PratamaThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Alvin Indra PratamaThe 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.
Alvin Indra PratamaDataThe Field
Raw
53.8MInput258885.9M
29.7MOutput79899.5M
5515.8MCache-read306174.3M
171.9MCache-write6115.2M
5771.2MTotal651075.0M
$0.50Cost$3.21
Metrics
57Υ Yield0
35.5%SNR23.6%
102×Leverage
0.55Velocity0.31
2.0110xDEV0.07
$0.50Cost per 1M$3.21
26.56Efficiency0.38
102:1:0.55Op Ratio1:1:0.31
5771.2MTotal651075.0M
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