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Detect metric anomalies and alert teams in context

AirOps MCP continuously monitors your key business metrics across connected data sources. When it detects an anomaly — an unexpected spike, a sudden drop, or a deviation from the established baseline — it doesn’t just fire a raw alert. It aggregates context: recent deploys from GitHub, campaign changes from your ad platform, and correlated metrics from adjacent systems. The alert that hits Slack explains what happened, why it probably happened, and what to check first.

Process

#1

Define your monitored metrics

Select the KPIs to watch — conversion rate, MRR, ad spend efficiency, or any custom metric from your data warehouse.

#2

Set your baseline and thresholds

Configure the rolling window for baseline calculation and the deviation percentage that triggers an alert. AirOps can also auto-learn baselines.

#3

Connect your context sources

Link GitHub, your ad platforms, and your product analytics tool. When an anomaly fires, AirOps pulls recent changes from these sources to explain it.

#4

Configure alert delivery

Set the Slack channel, email list, or PagerDuty policy that receives the alert. Include the right stakeholders for each metric.

#5

Review and tune

After the first week, review alert frequency and false-positive rate. Adjust thresholds and context sources to reduce noise.

Continuous monitoring with no dashboard-watching required; Alerts include correlated context, not just raw numbers; Pattern deviation detection across any KPI or metric; Escalation workflows that page the right team automatically

Key benefits

Publish 10,000+ pages from a single workflow run

Continuous monitoring with no dashboard-watching required; Alerts include correlated context, not just raw numbers; Pattern deviation detection across any KPI or metric; Escalation workflows that page the right team automatically

Connected tools

Ahrefs
BigQuery; Snowflake; Datadog; Slack; PagerDuty
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Start this workflow in AirOps — no code required.

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data-reporting; engineering-incident-response; support-ticket-routing

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