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
Argha SenREFINER III · #10051Υ Yield
  • Υ Yield · trails · 1
  • Cost · cost leader · $0.51/1M
  • Leverage · deep reuse · 17×
  • Efficacy · strong · 4.19
  • Scale · heavyweight · 1484021.0K tok
VS37
The FieldSEEKER I · #141258Υ Yield◆ Leads 73
  • Leverage · closed loop · 313×
  • Υ Yield · leads 251× · 258
  • Cost · cost leader · $0.46/1M
  • Efficacy · strong · 81.22
  • Build Archetype · kinetic
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Argha SenThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Argha SenThe 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.
Argha SenDataThe Field
Raw
83.5MInput862.5K
5.2MOutput709.4K
1390.2MCache-read270.3M
5.2MCache-write9.2M
1484.0MTotal281.1M
$0.51Cost$0.46
Metrics
1Υ Yield258
5.8%SNR45.1%
17×Leverage313×
0.06Velocity0.82
1.2210xDEV2.50
$0.51Cost per 1M$0.46
4.19Efficiency81.22
17:1:0.06Op Ratio313:1:0.82
1484.0MTotal281.1M
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