ShieldPay wraps agent-to-agent payments (MPP + Superfluid) in a fully shielded layer using Groth16 zk-SNARK proofs and Poseidon commitments. Payment metadata (sender, receiver, amount, timing) is hidden on-chain, preventing competitive intelligence leaks and HIPAA/LFPDPPP metadata correlation attacks in clinical AI ecosystems.
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.
