validation-api-engineer-role

Contact validation assigns confidence levels (HIGH, MEDIUM, LOW) by applying 4-layer logic: business pattern matching to reject banks and law firms, owner-name correlation, cross-reference checks, and phone type/status scoring. This filters irrelevant contacts and identifies actual property owners for lead quality assurance.

Yes. A Supabase Edge Function accepts phone, email, owner_name, and property_id inputs, runs multi-stage validation logic, returns validity status with confidence and reasoning, logs attempts to validation_history, and delivers results in under 500 ms with production-ready error handling.

Business pattern detection automatically identifies and rejects contacts associated with financial institutions, law firms, and real estate agents through pattern matching rules, ensuring your lead dataset contains only genuine property owners for targeted outreach.

Yes. Logging all validation attempts to validation_history provides an audit trail for pre-foreclosure, tax lien, and probate lead scenarios, enabling you to track confidence decisions, improve patterns over time, and maintain compliance with data quality standards.

4-layer validation combines business pattern matching, owner-name correlation, cross-reference checks, and phone type scoring to eliminate false positives and low-confidence records, delivering higher-quality lead lists with clear confidence indicators for prioritization.

Production-ready validation must execute under 500 ms per request with robust error handling, handle multiple input formats (phone, email, name, property_id), return structured outputs (valid, confidence, reason, points), and scale across high-volume lead-hunter workflows.