Retrieving API Calls that Populate the Monte Carlo UI

Monte Carlo's UI is designed to be fully accessible through API calls. Every piece of information presented in the UI can be retrieved programmatically, empowering customers to leverage Monte Carlo’s data for custom integrations, automations, and analysis directly within their own environments.

Getting Started with Monte Carlo APIs

Customers can use the Monte Carlo API Explorer or any REST client to execute API calls that mirror the data visible in the Monte Carlo UI. This makes it easy to retrieve, analyze, or integrate Monte Carlo’s data without needing to interact directly with the UI.

For example, customers can:

• Pull datasets, tables, and field-level information.
• Access recent incident and anomaly data.
• Retrieve pipeline and transformation metadata.

Apollo Extension for API Calls

Apollo is a powerful Chrome extension that simplifies API usage by helping you identify which API calls are being used to populate the Monte Carlo UI. Apollo allows customers to quickly generate and test API calls based on specific data attributes or entity types they view in the UI.

With Apollo, you can:

1. Identify API Endpoints: Apollo provides a straightforward way to determine the relevant API endpoints based on UI data.
2. Test API Calls in Real Time: By highlighting UI elements, Apollo automatically constructs API requests, enabling you to validate responses directly within your browser.

Once installed, by inspecting the MC page and selecting the Apollo tab you can examine these queries, along with the variables they require.