Validator as a Service

Validator as a Service is a domain-focused validation engine that verifies input data against JSON Schemas, XML Schemas, and custom rule sets. It is designed for developers building APIs, data pipelines, and data contracts who need reliable, machine-readable validation results for both ad hoc checks and automated pipelines. It supports sparse or verbose reporting to fit lightweight checks or deep-dive debugging.

Conceptually, the tool ingests a payload and an associated schema, applies a deterministic validation algorithm, and emits a structured report that identifies exact error paths, expected types, and constraint violations. It can load multiple schemas for the same data format, supports batch processing and streaming validation, and yields incremental results when fed large payloads or streaming data.

Benefits include early error detection, reduced debugging time, and CI-friendly outputs that can be parsed by other automation. Unique differentiators include per-schema result granularity, deterministic error paths (JSON Pointer / XPath), and support for custom plugin rules to express business constraints like cross-field dependencies or domain-specific formats.

Core features include JSON Schema validation (Draft-07/2019+), XML Schema validation, optional YAML/CSV extensions via plugins, strict type checking, size and pattern constraints, and structured error reporting with pointers and line/column information. Use cases cover API contract testing, data ingestion validation, schema-aware data quality gates, and post-deploy validation in complex microservices.