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
Alexandre DucarneTRANSMITTER · #161189Υ Yield◆ Leads 64
  • Leverage · closed loop · 232×
  • Υ Yield · leads 518× · 189
  • Cost · cost leader · $0.55/1M
  • Efficacy · strong · 61.57
  • Scale · heavyweight · 10584685.5K tok
VS64
The FieldIGNITER · #12210.37Υ Yield
  • Υ Yield · trails · 0
  • Scale · heavyweight · 651074953.4K tok
  • Regime · transient
  • Leverage · light reuse · 1×
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Alexandre DucarneThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Alexandre DucarneThe 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.
Alexandre DucarneDataThe Field
Raw
42.8MInput258885.9M
34.9MOutput79899.5M
9923.3MCache-read306174.3M
583.7MCache-write6115.2M
10584.7MTotal651075.0M
$0.55Cost$3.21
Metrics
189Υ Yield0
44.9%SNR23.6%
232×Leverage
0.82Velocity0.31
2.3710xDEV0.07
$0.55Cost per 1M$3.21
61.57Efficiency0.38
232:1:0.82Op Ratio1:1:0.31
10584.7MTotal651075.0M
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