How to Audit Whether a Document Processing API Truly Retains Zero Data or Only Claims To
Test API storage architecture with contracts, canary payloads, and syscall audits.
13 stories
Test API storage architecture with contracts, canary payloads, and syscall audits.
Mortgage APIs need per-field accuracy testing and source grounding, not just overall benchmarks.
Genuine zero data retention shields liability by preventing storage, not just promising deletion.
Establish ground truth and run platforms in parallel before switching document vendors.
Benchmark scores hide real failures on the documents your operation actually processes.
Accuracy metrics matter more than uptime when evaluating document processing vendors.
Document-layer metrics reveal where mortgage cycle time actually accumulates.
Automating tax forms requires routing, extraction, and audit trails all working together.
Field-level accuracy reveals extraction failures that character-level metrics systematically hide.
Schema validation catches syntax errors, not the cross-field contradictions that break invoices.
Automated CD extraction must reconcile fees across three documents with competing tolerance rules.
Automated extraction fails silently; validation catches what templates miss.
Here's the dek: Complete the cost-per-invoice formula to fix automation ROI projections.