Overview
Timeseries anomaly detection on any metric; route alerts or fire FlowForge playbooks automatically.
Problem
Thresholds miss subtle shifts and create noisy alerts; teams react late or overreact.
Solution
InsightLake’s ML shelf runs EWMA/Prophet-style detectors on rollups and cohorts; alerts include context and suggested actions.
How it works
Create a rule on delivery_success_rate or auth_rate. Choose destinations (Slack/Email/PagerDuty) or run a FlowForge automation (e.g., switch PSP, pause failing step).
Who is this for
Expected outcomes
- Earlier detection with fewer false positives
- Closed-loop remediation
Key metrics
False positive rate
Baseline
30 %
Target
10 %
Median time to mitigation
Baseline
45 minutes
Target
12 minutes
Gallery
Downloads & templates
Case studies
FinTech auto-reroutes failing BINs
Automations cut mitigation time by 70%.
Security impact
- Aggregated metrics & cohort keys · PII: none
Compliance
- SOC2 (monitoring & incident response)