Text & Data · page 3

Apply supported JSON Patch operations to sample documents and show the resulting changes.

Resolve JSON Pointer paths and explain failures against a supplied document.

Compare record structures throughout a JSONL dataset.

Produce representative record samples using configurable selection methods.

Apply masking rules to selected JSON fields and preview the transformed output.

Identify likely credential and personal-data field names in supplied JSON documents.

Explain meaningful field-level changes between two serialized snapshots.

Check numeric values against supplied minimum, maximum, and precision constraints.

Compare XML examples with required XSD elements and attributes.

Check reference-style links for missing definitions and unused references.

Check table row cell counts and alignment declarations.

Detect unclosed fences and inconsistent code block language labels.

Normalize indentation for nested lists while preserving their hierarchy.

Compare documentation files with a required topic inventory.

Validate YAML or JSON front matter against a supplied field schema.

Compare documented configuration values with supplied configuration exports.

Extract code examples and compare their structure with supplied API contracts.

Compare documentation changes between release branches or saved snapshots.

Find repeated release entries across multiple notes.

Detect inconsistent indentation and malformed nested mappings in YAML text.

Find repeated mapping keys that may be silently overwritten by parsers.

Separate YAML document streams and summarize each document's structure.

Convert nested YAML mappings into dot-separated key paths for review.

Compare required and optional keys across TOML configuration files.