Validator App

The Validator App provides automated validation of input data against schemas or rule sets, enabling developers, QA engineers, and data engineers to verify data contracts and data quality across services and data pipelines. It supports multiple formats (JSON, CSV, XML) and can apply standard schemas (JSON Schema) or domain-specific rules to detect structural and semantic issues before data moves between systems.
Conceptually, data is parsed into a structured model, rules are evaluated, and any deviations are collected with precise locations, codes, and messages. Validation is deterministic, producing a boolean status and a detailed error list that can be consumed by automated pipelines or reviewed by engineers. The tool supports batch or streaming inputs and can operate in strict or lenient modes.
The Validator App outputs machine-friendly reports (JSON/CSV) for CI logs and audits, while also offering readable summaries for human analysis. Unique value includes the combination of schema-driven checks with optional custom rule language and easy integration via a CLI and API. It emphasizes fast feedback, incremental validation, and clear remediation guidance.
Use cases include API payload validation, data ingestion validation, contract testing in microservices, and data quality gates in ETL pipelines. It helps teams enforce data contracts, reduce runtime errors, and improve overall data reliability, with decisions supported by precise error paths and actionable suggestions.