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Refresh Datasets, Publish Reports And Embed Dashboards With Power BI

November 5th, 2026 · Kin Lane
Refresh Datasets, Publish Reports And Embed Dashboards With Power BI

The Monday sales dashboard is stale again because nobody pressed refresh. The same report has to be copied into twelve regional workspaces and pointed at twelve regional datasets. A customer wants to see their numbers inside your product, not in a separate login. If your company runs on Power BI, these are the chores that eat an analyst’s week. Power BI exposes all of them through an API, a way for software to talk directly to other software, so a script, your data pipeline or an AI assistant can refresh the data, publish the report and hand you the embed link.

What Power BI does

Power BI is Microsoft’s business analytics service. Microsoft describes it as delivering insights to enable fast, informed decisions, with interactive visualizations and an interface simple enough for end users to build their own reports and dashboards. In practice it is the tool a great many finance, sales and operations teams open every morning. Around the core service sit several APIs we track on APIs.io: the Datasets API for the data models behind reports, the Dashboards API, the Groups API for workspaces, Power BI Embedded for putting reports inside your own application, and two newer MCP servers that let AI agents author and query semantic models. More on the Microsoft website.

What you can get done

Analytics & BI Management

Business intelligence, or BI, is the practice of turning company data into reports and dashboards people can act on. A dashboard in Power BI is a single-page canvas of pinned tiles; a report is the multi-page thing behind them; a dataset is the data model both draw from. This one capability spans 144 operations across dashboards, reports, datasets and workspaces, and these are the ones that get the chores done.

  • GET /v1.0/myorg/dashboards lists the dashboards in your workspace, the starting point for any inventory.
  • POST /v1.0/myorg/dashboards creates a new, empty dashboard ready for tiles to be pinned.
  • GET /v1.0/myorg/dashboards/{dashboardId}/tiles lists the tiles on a dashboard, each carrying the report and dataset it draws from.
  • GET /v1.0/myorg/reports lists the reports in your workspace, and GET /v1.0/myorg/reports/{reportId} reads one, including its embed URL.
  • DELETE /v1.0/myorg/dashboards/{dashboardId} removes a dashboard nobody looks at any more.

Workflows that put it together

A workflow is a recipe: several API calls made in a set order, each using what the last one returned. These are written in Arazzo, an open format for describing them, and Power BI has 12 of them on APIs.io. They read like the analyst’s to-do list.

Ask for it in plain language

We have written conversational overlays for Power BI, a layer on top of its API descriptions that maps everyday questions to the operation that answers them, so an AI assistant knows which call to make. There are 10 of them, covering areas such as apps, capacities and dashboards. You can see one on the Dashboards API phrasing overlay. The questions they map are the ones in this post: which dashboards exist in a workspace, what tiles are on one of them, and which report and dataset a tile draws from.

Getting started

Power BI is a freemium, hosted service with self-serve signup. Calling the API means getting an access token from Microsoft’s identity service, explained in getting an Azure AD access token, and for showing reports to people outside your organisation you will use embed tokens. The embedded documentation covers putting reports in your own product, with Power BI Embedded pricing by capacity, and the MCP servers overview is where to start if you want an AI agent working with your models. On APIs.io you can browse the Power BI profile, the Datasets API, the Imports API and the Push Datasets API. Start with the refresh recipe: it is the smallest change and it ends the Monday morning complaint.