Monte Carlo
by Monte Carlo Data
Data and AI observability platform with a GraphQL API for monitors, incidents, alerts, tables and lineage.
- Category
- Cloud & Data Platforms
- Type
- Data observability
- Interface
- GraphQL API
- Built with
- Connect Any API
- Credentials
- API key
02Data
What you can sync.
- Incidents
- Alerts
- Monitors
- Tables
- Lineage
Load Monte Carlo incidents into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Monte Carlo data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
Monte Carlo uses an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Monte Carlo Data if you need help.
04How it works
How it works in DataMind.
-
Pick Monte Carlo.
Open Lake, pick Monte Carlo in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Monte Carlo API docs.
-
Answer a few questions.
The AI reads the Monte Carlo documentation, then asks which credentials you will use, which data to sync (for example incidents and alerts), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Monte Carlo data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
