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Detect anomalies and trigger automated actions | InsightLake

InsightLake

Detect anomalies and trigger automated actions

Timeseries anomaly detection on any metric; route alerts or fire FlowForge playbooks automatically.

Anomaly rule
Alert with context

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

SRE/Ops RevOps Channel Ops

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

Anomaly rule
Alert with context

Downloads & templates

Case studies

FinTech auto-reroutes failing BINs

Automations cut mitigation time by 70%.

Fintech Mid-market NA

Security impact

  • Aggregated metrics & cohort keys · PII: none

Compliance

  • SOC2 (monitoring & incident response)

Availability & next steps

Free Pro Enterprise