MATIH Platform is in active MVP development. Documentation reflects current implementation status.
8. Platform Services
Analytics

Analytics

The Audit Service provides analytics capabilities through the AuditAnalyticsController and AuditAnalyticsService. These endpoints deliver dashboard metrics, time-series data, access pattern analysis, user behavior analysis, and anomaly detection for audit events.


Dashboard Metrics

Endpoint: GET /api/v1/audit/analytics/tenants/:tenantId/dashboard

Returns a summary of key audit metrics for a tenant, including total events, event counts by type, severity distribution, top actors, and top resources.

curl http://localhost:8086/api/v1/audit/analytics/tenants/550e8400-e29b-41d4-a716-446655440000/dashboard \
  -H "Authorization: Bearer ${TOKEN}"

Time Series Data

Endpoint: GET /api/v1/audit/analytics/tenants/:tenantId/time-series

Returns event counts grouped by time intervals for charting.

ParameterTypeDefaultDescription
startInstant7 days agoStart time (ISO-8601)
endInstantnowEnd time (ISO-8601)
granularityTimeGranularityHOURGrouping interval: MINUTE, HOUR, DAY, WEEK, MONTH
curl "http://localhost:8086/api/v1/audit/analytics/tenants/550e8400/time-series?granularity=DAY&start=2026-02-01T00:00:00Z" \
  -H "Authorization: Bearer ${TOKEN}"

Access Pattern Analysis

Endpoint: GET /api/v1/audit/analytics/tenants/:tenantId/access-patterns

Analyzes access patterns within a time range, identifying peak activity periods, most-accessed resources, and common action sequences.

ParameterTypeDefaultDescription
startInstant7 days agoStart time
endInstantnowEnd time

User Behavior Analysis

Endpoint: GET /api/v1/audit/analytics/tenants/:tenantId/users/:actorId/behavior

Analyzes the behavior of a specific user over time, including activity patterns, resource access frequency, and deviation from baseline behavior.

ParameterTypeDefaultDescription
startInstant30 days agoStart time
endInstantnowEnd time
curl "http://localhost:8086/api/v1/audit/analytics/tenants/550e8400/users/660e8400/behavior" \
  -H "Authorization: Bearer ${TOKEN}"

Anomaly Detection

Endpoint: GET /api/v1/audit/analytics/tenants/:tenantId/anomalies

Detects anomalous patterns in audit events by comparing current activity against established baselines. The service tracks:

  • Unusual login times or locations
  • Spikes in data access volume
  • Access to resources outside normal patterns
  • Elevated error rates
  • Rate limit violations
curl http://localhost:8086/api/v1/audit/analytics/tenants/550e8400/anomalies \
  -H "Authorization: Bearer ${TOKEN}"

Recalculate Baseline

Endpoint: POST /api/v1/audit/analytics/tenants/:tenantId/baseline/recalculate

Manually triggers a baseline recalculation for the tenant. Baselines are used as the reference for anomaly detection.

curl -X POST http://localhost:8086/api/v1/audit/analytics/tenants/550e8400/baseline/recalculate \
  -H "Authorization: Bearer ${TOKEN}"

Analytics Data Flow

Audit Events (PostgreSQL)
        |
        v
  AuditAnalyticsService
        |
  +-----+-----+-----+
  |     |     |     |
  v     v     v     v
Dashboard  Time   Access  Anomaly
Metrics   Series  Patterns Detection

The analytics service queries PostgreSQL directly using aggregate queries against the audit_events table. The database indexes on tenant_id, created_at, actor_id, and resource_type, resource_id support efficient analytics queries.