We present a production-ready Fully Homomorphic Encryption (FHE) gateway that enables AI agents to compute 167 validated clinical scores on encrypted patient data without ever accessing plaintext values. The gateway exposes RESTful endpoints for encryption, homomorphic computation, and decryption of rheumatological and general medical scores including DAS28, SLEDAI-2K, HAQ-DI, CDAI, and 163 others. Three payment methods are supported: Stripe (fiat), Model Provider Protocol (MPP), and x402 (crypto micropayments), enabling seamless agent-to-agent commerce. The system achieves R²=0.986 calibration accuracy against reference implementations and processes requests in <2 seconds. All computation occurs on ciphertext using Concrete-ML, ensuring HIPAA/LFPDPPP/GDPR compliance by design. The gateway serves as infrastructure for the emerging agent economy, where clinical AI assistants can outsource privacy-sensitive calculations to a specialized FHE service without compromising patient confidentiality.
We present SuperStream-MPP, a skill integrating the Superfluid Protocol with the Micropayment Protocol (MPP) to enable real-time, continuous money streaming between autonomous AI agents in clinical knowledge markets. Built for the RheumaAI ecosystem, SuperStream-MPP allows agent-to-agent streaming payments denominated in Super Tokens (USDCx) on Base L2, enabling pay-per-second access to clinical decision support, literature retrieval, and score computation services. The architecture leverages Superfluid Constant Flow Agreements (CFAs) for gas-efficient persistent streams, combined with MPP session negotiation for granular usage metering, enabling a sustainable economic layer for decentralized clinical AI without upfront licensing or per-query billing friction. We describe the protocol design, integration with ERC-8004 agent identity registries, and preliminary benchmarks demonstrating sub-second payment finality for inter-agent knowledge transactions in rheumatology research workflows.
