Your CEO will find out about bad data.The question is when.
AnomalyArmor monitors your data warehouse for schema changes, stale tables, and broken pipelines, and alerts you before stakeholders notice.
Built by engineers from
Without AnomalyArmor
I've been telling the board our churn is 3%. Apparently it's actually 8%? Can someone explain?
The revenue dashboard is wrong too. Board deck goes out at noon. How long has this been broken?
2 weeks
undetected
4
wrong investor updates
73%
found by stakeholders
With AnomalyArmor
ALTER TABLE orders RENAME COLUMN customer_id TO cust_id;
Applied by another team. No one downstream was notified.
Schema change detected on orders: column customer_id renamed. 3 downstream dashboards affected. Alerting #data-alerts.
Patched downstream refs for the column rename. Dashboards verified. No one impacted.
VP asks about the exec dashboard. Everything looks fine.
2 min
to detect
14 min
to fix
0
stakeholders impacted
Try it yourself
Pick a use case. See AnomalyArmor work on demo data in under a minute.
You've seen this message before.And you'll see it again.
Every data team lives in fear of the Slack message that starts with
“Why is this dashboard broken...”
The revenue numbers on the board deck are completely wrong. We present to investors in 2 hours. What happened?
Why does the user dashboard show we had 0 new signups this week? Marketing is panicking.
I've been telling the board our churn is 3%. Apparently it's actually 8%? Can someone explain?
The real cost of reactive data monitoring
It doesn't have to be this way.
What if you knew about every issue before anyone else?
Be the first to know.Every. Single. Time.
AnomalyArmor watches your data warehouse 24/7 so you can stop refreshing dashboards and start trusting your data.
“Someone changed the schema”Know before your pipeline crashes
Column renamed? Type changed? Table dropped? You'll know in minutes, not days. AI-powered impact analysis shows exactly which models and dashboards will break.
orders_factColumn revenue type: DECIMAL → VARCHAR12 downstream models affecteduser_eventsNew column session_duration addedNon-breaking changecustomer_dimNo changes detectedLast checked 5m agoorders_factUpdated 5 min agouser_eventsUpdated 4 hours agomarketing_metricsUpdated 26 hours ago“This data looks old”Know when updates stop coming
Don't wait for a stakeholder to notice yesterday's numbers. Set SLAs for every critical table and get alerted the moment data goes stale, before anyone opens a dashboard.
“These numbers look wrong”Catch bad data before anyone else does
Null spikes, distribution shifts, and silent data drift corrupt your analytics without warning. AnomalyArmor scores every table and alerts you when quality degrades.
orders_factuser_eventsrevenue_dailyorders_factFreshcustomer_dimFreshrevenue_dailyStaleOne line of HTML to embed anywhere
“Is this data reliable?”Let your dashboards answer
Stop fielding Slack messages asking if data is fresh. Embed live status badges directly in your dashboards, Notion docs, and reports. Trust becomes self-service.
Works with your stack
Connect in 5 minutes. Read-only access. No data ever leaves your warehouse.
Build it into your workflow
Dashboard, API, CLI, or SDK. Integrate however fits your stack.
REST API
Full programmatic access to all monitoring features. Automate everything.
curl -X GET "https://api.anomalyarmor.ai/v1/alerts" \
-H "Authorization: Bearer $API_KEY"CLI
Run data quality checks from CI/CD. Catch issues before deploy.
anomaly check --tables users,orders --fail-on-warningPython SDK
Type-safe client for custom integrations. Built for data pipelines.
from anomalyarmor import Client
client = Client(api_key="...")
alerts = client.alerts.list(status="open")Claude MCP Server
Talk to your data quality in natural language. Ask Claude about alerts, freshness, and schema changes.
// claude_desktop_config.json
"anomalyarmor": {
"command": "npx",
"args": ["-y", "@anomalyarmor/mcp-server"],
"env": { "ANOMALYARMOR_API_KEY": "your-key" }
}Stop being the last to know.
Every day you wait is another day a stakeholder might find a problem before you do. Setup takes 5 minutes. Your first alert could come tonight.
Your Monday morning:
Crisis prevented. Coffee enjoyed.
Frequently Asked Questions
Common questions about setup, pricing, and how monitoring works
Still have questions?
Email usEnterprise features. Startup price.
AI-powered monitoring without the enterprise procurement process
* Homegrown solutions are “free” but require engineering hours to build and maintain