The record benchmarking tools help evaluate individual records against their peer group: one labels a value as above/below/average compared to peers; another explains which features most influenced a model's prediction for each record; a third suggests specific, actionable changes a record could make to improve its predicted outcome; and a fourth shows where each record ranks (as a percentile) among its peers for every feature. The Snowflake utility (get_feature_descriptions) looks up descriptions and metadata for model features directly from the feature store, making it easier to document or audit a model's inputs.