audit-card-parsing

You can audit parsed card data against Oracle text by running a semantic comparison workflow that identifies mismatches in supported cards. It extracts data using jq, generates a structured report of misparses, and tracks a resume point for continuation.

Semantic misparse detection in card data JSON compares parsed structures against official Oracle text to identify inaccuracies. This ensures coverage accuracy and records mismatches in a structured audit report for developers.

Yes, you can resume batch processing for large card dataset audits. The workflow includes a resume-tracking mechanism that records an up-to-date resume point, allowing you to split work across parallel agents and continue from the last processed batch.

Yes, the audit workflow supports format-filtered checks across parallel agents. It applies to large card datasets by enabling batch processing with resume points, allowing multiple agents to audit specific formats concurrently and accurately.

You extract card data fields using jq for quality assurance reporting by applying jq-based extraction within the audit workflow. This parses the card-data JSON to feed semantic checks, generating a structured report with patterns and examples of misparses.