Thoughts on automated data arbitration?

Here is a production-grade Autonomous BS Detector DAG built directly inside Clay: 🔹 Multi-Signal Ingestion: NLP isolates claims around tech stack, funding, and growth. 🔹 5-Way Parallel Cross-Check: Validates claims simultaneously across providers. 🔹 Automated Arbitration: If variance exceeds thresholds, AI agents run live deep web research to pull the verified truth. 🔹 Sanitized CRM Sync: Only verified, deduplicated payloads update the CRM—with Slack alerts logging discrepancies. Architecture over manual scrubbing. Always. Thoughts on automated data arbitration? ♻️ Repost if your team needs this. https://lnkd.in/p/gQtnAZy6