Usage Dashboard
The VARICON usage dashboard shows how anomaly activity translates into billable intelligence.
It connects system behavior, anomaly volume, and cost into a single view.
Monthly anomalies
82,000
Enriched anomalies
72,000
Enrichment rate
88%
Estimated cost
$72
Billing breakdown
Free: 10,000Billable: 62,000
Top recurring fingerprints
Hidden Error
fp_hidden_error
18,200
25%
Empty Payload
fp_empty_payload
9,700
13%
Contract Drift
fp_contract_drift
5,100
7%
Billing summary
- First 10,000 enriched anomalies are free
- Billing starts after enrichment
- Repeated anomalies indicate systemic issues
- Failed enrichment does not create billable usage
What this view is for
This view helps teams answer:
- how many anomalies were detected
- how many entered the intelligence layer (enriched)
- what usage is billable
- which recurring fingerprints drive cost
Why this matters
The same anomaly repeated 10,000 times is not 10,000 different problems.
It is one broken behavior repeated across many runs.
VARICON surfaces this through fingerprints, allowing teams to distinguish:
- unique issues
- repeated system failures
- noise vs signal
Key metrics
- anomalies detected (free layer)
- anomalies enriched (paid layer)
- billable anomalies (after free allowance)
- cost over time
- anomaly distribution across services
Billing connection
The dashboard reflects the core billing model:
- detection is always free
- enrichment creates billable units
- failed enrichment does not generate cost
This makes usage transparent and predictable.
Fingerprint-driven insight
Recurring fingerprints are the most important signal in the system.
They show:
- systemic failures
- regression patterns
- repeated contract violations
Instead of optimizing for fewer anomalies, teams optimize for:
fewer unique broken behaviors
Recommended views
Engineering
- top recurring anomalies
- severity distribution
- fingerprint-level debugging
Platform
- anomalies per service
- regression tracking
- system-wide drift
Finance
- cost vs anomaly trends
- enriched vs total anomalies
- usage forecasting
Future
- real-time anomaly streams
- alerting on anomaly spikes
- anomaly-to-incident mapping
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