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----
-license: mit
----
+---
+license: mit
+library_name: generic
+tags:
+- fairness
+- calibration
+- multicalibration
+- gradient-boosting
+- gbdt
+- decision-trees
+- trustworthy-ai
+- tabular
+- risk-assessment
+- risk
+arxiv: "2509.19884"
+model-index:
+- name: MCGrad
+  results: []
+---
+
+# MCGrad: Multicalibration at Web Scale
+
+**Paper:** [arXiv:2509.19884](https://arxiv.org/abs/2509.19884)  
+**Official Code:** [github.com/facebookincubator/MCGrad](https://github.com/facebookincubator/MCGrad)  
+**Documentation:** [mcgrad.dev](https://mcgrad.dev)
+
+## Overview
+MCGrad is a library for production-ready multicalibration. It ensures your ML model predictions are well-calibrated not just globally, but across virtually any segment defined by your features.
+
+## Installation
+```bash
+pip install mcgrad
+```
+## Getting started
+See [mcgrad.dev](https://mcgrad.dev)
+