Is There A Reproducible Way To Quantify Dataset Drift Over Time?

I track daily extractions from several sources. Every month, something shifts – structure, language, or value ranges – and my models subtly degrade. I’d like a numeric drift score for datasets, not just ML features. Something that captures schema changes + statistical shifts + missing field ratios in one metric. Has anyone attempted that? What would your formula look like?