AnomalyGuard documentation
Welcome. This site explains how to install, configure, and use AnomalyGuard — software that finds unusual patterns in time-series data stored in your databases (sales, occupancy, volumes, and similar metrics).
You do not need to read every page. Use this homepage to pick the right entry point, then follow the links for your role.
Start here
New to AnomalyGuard? Begin with the guided path:
→ How to start — what the product does, what you need, and the first steps to a working Home screen with anomalies.
Then continue with Installation & Setup when you are ready to deploy.
How the pieces fit together
Warehouse data
→ Connector (DB login)
→ Data view (query + categories + detectors)
→ Load & detect (jobs)
→ Anomalies
→ Filters (saved views for HQ / region / team)
→ Home (UI) or API / CLI / AI agents
| Concept |
Meaning |
Guide |
| Connector |
Encrypted connection to your source database |
Connectors |
| Data view |
What to load, how to split series, which detectors to run |
Data Views |
| Detector |
Algorithm that flags spikes, gaps, shifts, seasonality, and more |
Detectors |
| Filter |
Named view over anomalies for a role or team |
Filters |
| Home |
Day-to-day screen with pinned filters and tiles / summary |
Home |
Find your path
I install and administer the product
- How to start
- Install AnomalyGuard
- Setup Service Principal & Users (Entra ID sign-in)
- License (plan limits)
- Connectors → Data Views → Users
- Monitoring · API Keys
I use results every day (analyst / business)
- Home — pinned filters, tiles, summary, display options
- Filters — how views are built (admins create; you consume & can pin shared ones)
- Comments — notes that explain known events
I automate or integrate (CI, scripts, AI agents)
Full documentation map
Getting started
Admin guide
User guide — set up analytics
| Page |
What you will find |
| Connectors |
Create and test database connections |
| Data Views |
Full lifecycle: source, categories, analysis, deploy, jobs, YAML |
| Data Preview |
Validate series and detectors on sample data |
| Detectors |
Catalog of detector types (gap, WOW, spike, changepoint, …) |
| Users |
Assign which data views each person can see |
| API Keys |
Non-interactive access for pipelines and agents |
| Monitoring |
Track load / process jobs |
User guide — use results
| Page |
What you will find |
| Home |
Operational dashboard for pinned filters |
| Filters |
Build views, aggregation, SIN/SIM, AI summary, share / pin |
| Comments |
Operational notes on anomalies and periods |
User guide — interfaces
Tutorials
Release notes
Core capabilities (quick reference)
| Capability |
In one sentence |
| Connectors |
Encrypted links to SQL Server, PostgreSQL, and other supported engines |
| Data views |
Versionable monitoring definitions (UI + YAML) with deploy lifecycle |
| Detectors |
Statistical and ML-style checks on loaded series |
| Filters & Home |
Role-specific views of the anomaly “cloud,” including optional LLM briefs |
| Comments |
Human context that also feeds summaries |
| API & CLI |
Same operations for automation, BI tools, and AI agents |
| Entra ID + API keys |
People sign in with Azure AD; machines use keys or tokens |
Tip if you feel lost