The PoL score stayed; the data behind it got stronger. Funding through @Giveth helped us improve how risk is collected, reviewed, calculated, and delivered across CORE3. More human context Over 1,500 @Proof_Of_Voice reports now appear beneath project scores, providing readers with expert context alongside the underlying risk data. The reports can now be submitted through the website or Telegram Mini-App, making contributions easier and expanding project coverage every day. Cleaner project data Duplicate and empty bug bounty entries were removed. Audit records were standardized. Detector-collected evidence now fills key fields across token supply, contract verification, team transparency, KYC, regulation, insurance, and security certifications. Better comparisons Projects are now ranked both across CORE3 and within their own category, so protocols are compared against relevant peers. Exchange data covering penetration tests, bug bounties, and proof of reserves was also corrected and expanded. Stronger scoring infrastructure We improved the Probability of Loss engine, scoring logic, detector persistence, and data pipelines to ensure risk profiles are consistent and up to date. CORE3 for the agents Our public MCP server is already in production, allowing AI assistants to query CORE3 risk data directly. Thanks to @Giveth, @TheDAOfund, @wintermute_t, @Quantstamp, @CredShields, and the community donors who helped fund the work.