jq analyzer

The jq analyzer is a lightweight, backend-friendly tool for validating and profiling jq expressions against JSON data. It accepts a JSON input and a jq filter, executes the filter in a deterministic environment, and returns the resulting JSON value along with metadata. It is designed for developers, testers, and data engineers who write, audit, or optimize jq pipelines, enabling rapid experimentation without a local CLI.
Conceptually, the tool parses the jq expression, compiles it into an evaluation plan, and applies it to the supplied input. It supports single-shot evaluation and optional per-line processing for newline-delimited JSON. Outputs include the final value, execution time, and an optional path trace showing how the result was derived. Errors include syntax issues, type mismatches, missing keys, and runtime exceptions.
Advanced users benefit from structured outputs that facilitate automated testing, diffing against expected results, and integration into CI pipelines. The tool offers batch evaluation, precise error reporting, and consistent formatting of results to JSON. It also captures performance metrics, helping teams identify expensive filters and optimize jq scripts for large payloads.
Use cases include validating a filter against a sample schema, comparing outputs for refactoring, learning jq semantics, and benchmarking complex pipelines. By isolating data, filter, and environment, it reduces debugging time and improves reliability of JSON processing tasks across data services, APIs, and data pipelines.