Polisplexity - The Internet of AI Cities

Polisplexity is a practical Internet-of-Agents project for cities. It ships two reusable agents: SAMI computes city scaling baselines (exponents, residuals) so places can be compared fairly by size, revealing over/under-performance in outcomes like services, jobs, or accessibility. Sites answers “where, exactly?” by ranking candidate blocks using isochrones, demand/deficit layers, and competition signals. In a single chat (WhatsApp/Telegram or web), a user asks for a café, clinic, or depot; Sites returns the top blocks with scores and shareable PNG/GeoJSON. Both agents run as Coral MCP servers, making them discoverable, composable, and rentable via the Coral Registry. We integrate partner tech where it adds value: Mistral (reasoning/explanations), ElevenLabs (voice I/O), Crossmint (tokenized reports/payments), and Nebius (credit-powered batch jobs). The demo includes: chat → constraints → ranked map → export; plus a SAMI dashboard showing city residuals vs peers. Use cases span GovTech (clinic/school siting), retail & logistics (store/depot placement), and economic development (evidence-based prioritization). The code is modular, the UI is simple, and the value is reusable—others can plug our agents into their own stacks.