#testing

Aug 25, 2026

Take your data agents to production with BI Pixie

For two years BI Pixie has measured how people use your Power BI: who adopts a report and who stops coming, what they click, how satisfied they are, how fast reports load, and who saw what. Today we release the biggest expansion to BI Pixie to help you scale your AI investment and take your Power BI semantic models to production with Copilot and Fabric data agents. BI Pixie assesses whether your semantic models are ready for AI, drafts the context they are missing, and creates benchmarks to test your AI against answers computed from your own data. Along with the expansion, we now offer a Free plan that assesses up to 500 semantic models, and a simplified flat pricing with no usage meters. AI Readiness is available in BI Pixie Workload for Microsoft Fabric or in the cloud version.

Data Agent Automation Using Python SDK

Notebook to automate creation, testing and updating data agent using Python SDK in Fabric notebook.

Data Agent Inspector

App to review data agent diagnostic file.

Fabric Data Agent Ground Truth Generator

This tool is a reusable notebook template which creates ground truth evaluation datasets for Fabric data agents over any Power BI / Fabric semantic model, including Direct Lake semantic models, enabling the data agent evaluation process to be more automated. The primary purpose of the notebook is to support the evaluation of Fabric data agents by generating ground truth datasets that can be used to measure answer quality, accuracy, and performance.