Questions about deterministic matching, explainability, and data standardization capabilities in the pipeline

Is there an example of integrating deterministic matching in the pipeline?

For Explainability is this something like general feature importance for the model or something like SHAP output at the observation level?

Are there any standardization capabilities for opensource or enterprise - name expansion (bob to rober, beth to elizabeth), location resolution (NY, NYC, New York ==> New York City), address standardization/verification, etc.