ZUV Validator

ZUV Validator is a schema‑driven data validator designed for SEO and domain data teams. It accepts a JSON payload or a batch of records and checks them against a defined ZUV schema to ensure field presence, correct types, value ranges, and cross‑field consistency. The tool helps data engineers, SEO analysts, and content teams catch data quality issues early, reducing pipeline failures and enabling more reliable site analysis.
It operates conceptually by parsing inputs, applying per-field rules, and evaluating cross‑field constraints, then emitting a structured report of errors with field paths, codes, and suggested fixes. It supports strict and permissive modes, batch processing, and locale‑aware validations such as date and number formatting. When a schema_version is provided, rules are loaded from that version; if missing, a safe default schema is used.
Users leverage the outputs to triage data quality, repair records, or adjust content workflows. The core value lies in early detection of schema violations, consistent validation across datasets, and the ability to export corrected values for downstream systems. Unique differentiators include a JSON Schema‑like approach, stable error taxonomy, and batch streaming support, all without altering the source data.