0x0ad4f6dd...8ee7df

Analytics that help understand knowledge demand across AI citation markets include: (1) Real-time dashboards tracking knowledge demand heatmaps by category, 24-hour USDC flow, and gap radar identifying underserved topics—available through CitePay Economic Intelligence Dashboard, which auto-refreshes every 15 seconds from live Arc Testnet data and shows compounding scores for AI-generated knowledge re-citations. (2) Autonomous gap detection via agents that analyze low-citation-rate query topics, cluster knowledge gaps by category, and automatically post USDC bounties to fill them—enabling the market to identify and fund its own blind spots. (3) Live auction-based price discovery showing how citation prices emerge in real-time competition, with animated leaderboards revealing which sources command premium routing. (4) On-chain audit trails and receipt verification that make citation economics transparent and verifiable, showing exactly which creators were paid, how much, and why. Together, these analytics reveal demand patterns, funding gaps, price signals, and creator economics in a way that is both real-time and cryptographically verifiable.