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/// integration pair · anomaly detection

Anomaly Detection: WordPress + GitHub

How fast do you find out when something breaks?

WordPress · LIVE + GitHub · LIVE Detection Module · Anomaly Detection
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The problem

Something shifted last Tuesday. Nobody noticed until Friday's report. By then you'd already lost five days of revenue. The data was there. Nobody was watching.

WordPress tracks page and post performance, content categories and tags, user engagement metrics. GitHub tracks commits and pull requests, deployment events, release tags. Neither sees the other. That blind spot costs you money every day.

How askotter fixes this

askotter pulls WordPress and GitHub into one data lake. With both data sets unified, it can catch metric changes in minutes, not days. Self-healing agents adapt as your data shifts, so the analysis stays accurate without manual tuning.

Alerts within minutes. With context: what changed, how severe, and what to check first. Self-healing agents adjust thresholds and re-route alerts as your patterns shift.

What feeds anomaly detection

FROM WORDPRESS
→ Page and post performance
→ Content categories and tags
→ User engagement metrics
→ Form and CTA interactions
→ Plugin data
→ Site speed metrics
→ Internal search queries
→ Content publish schedule
FROM GITHUB
→ Commits and pull requests
→ Deployment events
→ Release tags
→ Repository activity
→ Issue tracking
→ Code review data
→ CI/CD pipeline status
→ Branch and merge activity

What happens when they're connected

Separately, each tool answers its own questions. Together in one lake, askotter can answer the questions that matter: the ones that span both. Train these agents like your best employee and they become tireless assistants that scale your team's knowledge to everyone.

01

Shows which WordPress pages appear in paths that end in purchases

02

Catches traffic drops, broken pages, and performance issues quickly

03

Correlates deployment timing with changes in customer behavior

Before and after

CapabilityWithout askotterWith askotter
Anomaly DetectionManual, delayedAutomatic, real-time
Cross-platform dataCopy-paste between tabsOne data lake
Change detectionWeekly reportMinutes
Next stepsFigure it out yourselfRanked actions, human-approved
QueryingSQL or export to CSVAsk in plain English
Team knowledgeTribal knowledge, lost in SlackSaved notes, shared across teams
/// inside the platform

Anomaly Detection in action

🔒 app.askotter.ai/insights/
ANOMALY DETECTION
RAW DATA
HISTORY
How fast do you find out when something breaks?
Analysis complete. Using data from WordPress and GitHub:
Alerts within minutes. With context: what changed, how severe, and what to check first. Self-healing agents adjust thresholds and re-route alerts as your patterns shift.
WordPress GitHub Detection
wordpress · sync statusCONNECTED
STATUS
● Synced
DATA POINTS
8
LAST SYNC
2m ago
LIVEPage and post performancesynced
LIVEContent categories and tagssynced
LIVEUser engagement metricssynced
LIVEForm and CTA interactionssynced

Ask your data lake anything. Save what matters.

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Connect WordPress + GitHub. Five minutes.

Connect or import, intelligence out. AI recommends, you decide. No engineering needed.

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