Validate datasets against inferred or custom schemas, check cross-column constraints, detect sentinel/placeholder values, and catch statistical pitfalls (Simpson's paradox, join explosion). Use when verifying data quality after cleaning, enforcing schemas before delivery, checking for content placeholders, or sanity-checking transformation results.
