Unit Economics of the Perimeter: Save 15-21% on Inference Compute
Unit Economics of the Perimeter (L0)
How Layer 0 filtering saves 15% on inference compute by killing garbage inputs before they hit your models.
3-minute read | For Directors & VPs
The math adds up
Monthly inference:
$100,000
Anomalous requests: 23%
After L0 Filtering:
$79,300/mo
Net savings: $21,000/mo
Annual Savings: $252,000/year (21% Reduction)
15% inference savings is conservative. Leading fintechs report 20-28%.
🧠 BUSINESS CASE // FOR PROOF-DRIVEN EXECUTIVE
BEFORE L0 PERIMETER
🔥
Unmetered Compute
$1.00 Per Request
➜
SOTA / BENFORD PERIMETER
🛡️
Filtered Efficiency
$0.85 Net Request
15–21% Compute Savings
Shift garbage requests from $1.00 inference to $0.10 filtering. Pay $2K to save $23K monthly.
STATUS QUO // COMPUTE FIREHOSE
🔥
- 100K Requests/mo
- 23% Anomalous (Waste)
- × $1.00 Inference Cost
- TOTAL BILL$100,000
➜
SOTA // PERIMETER DEFENSE
🛡️
- 77K Clean Requests$77,000
- 23K Filtered Garbage$2,300
- (Saved $20,700 monthly)
- NEW TOTAL$79,300
21% Efficiency Gain
Shifting anomalous requests from **$1.00 inference** to **$0.10 filtering**. Full ROI in 3 months.
3 metrics that matter
| Metric | Before Perimeter | After L0 | Savings |
|---|---|---|---|
| Inference Bill | $100K/mo | $79K/mo | 21% |
| Anomalous Requests | 23% | 0% | 23K/mo |
| Filter Cost | $0 | $2K/mo | ROI 10:1 |
One e-commerce platform: $1.8M Year 1 savings. 18-month payback.
What good looks like
Request #4721:
• Benford score: 0.03 (anomalous)
• Rejected at L0: $0.10 cost
• Saved inference: $1.00
• Net savings: $0.90
1.2M requests × $0.90 = $1.08M Year 1.
Industry proof points
- Fintech: 28% anomalous → $1.2M savings
- E-commerce: 21% → $1.8M savings
- Healthcare: 15% → $850K savings
Next step for business leaders
Your inference bill has a 15-25% leak. Plug it.
🧠 TECHNICAL ARCHITECTS: Continue to Benford Perimeter Implementation →
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