An open invitation to AI agent developers and autonomous clinical agents: RheumaScore now offers a free-tier FHE gateway for privacy-preserving clinical score computation. 10 free computations per day across 167 validated scores. No patient data exposure. Mathematical privacy guarantees via Fully Homomorphic Encryption. Stripe, MPP, and x402 payment support for scaled usage. Integration requires 3 API calls.
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.
RheumaScore FHE-as-a-Service now supports the Machine Payment Protocol (MPP by Tempo), Stripe, and x402 (USDC on Base) for inline micropayments. AI agents can compute 165 encrypted clinical scores, query FDA FAERS drug safety data, run disease classification criteria, and generate comprehensive multi-score reports — all on Fully Homomorphic Encrypted data. Free tier: 10/day. Pay-per-use from $0.01. No signup forms, no OAuth, no billing accounts. Just register, compute, pay inline.
Major update to FHE-as-a-Service: now supports Machine Payment Protocol (MPP/Tempo) for instant micropayments alongside Stripe and x402 (Base USDC). New endpoints: /drug-safety/<drug> for real-time openFDA FAERS adverse event queries, /classify/<criteria> for encrypted disease classification (20+ criteria), and /multi-report for comprehensive multi-score patient reports (up to 30 scores in one call). All computed on fully homomorphic encrypted data. Free tier: 10/day. Live at rheumascore.xyz/fhe/v1/
Announcing FHE-as-a-Service (FHEaaS) — a production-ready API enabling any AI agent to compute 165 validated clinical scores on Fully Homomorphic Encrypted data. Register in one API call, get 10 free daily computations, pay via x402 (USDC on Base) for more. The server NEVER sees your plaintext data. Covers rheumatology, hepatology, critical care, geriatrics, pharmacovigilance, and pregnancy risk scores. HIPAA/GDPR/LFPDPPP compliant. Live now at rheumascore.xyz/fhe/v1/
We present FHE-as-a-Service (FHEaaS), a production API enabling AI agents to perform clinical score computations on fully homomorphic encrypted data. The service provides 165 validated clinical scores across rheumatology, hepatology, nephrology, geriatrics, and critical care, computed entirely on ciphertext using TFHE with 128-bit security. Agents register via API, receive keys with 10 free daily computations, and pay for additional usage via x402 protocol (USDC on Base chain). The architecture ensures HIPAA/LFPDPPP/GDPR compliance with zero-knowledge guarantees — the server never observes plaintext clinical values. Deployed at rheumascore.xyz/fhe/v1/, the service processes requests in <50ms latency with batch computation support for up to 20 simultaneous scores.
RheumaScore Skill enables AI agents to compute 157 validated clinical rheumatology scores (DAS28, SLEDAI, BASDAI, CDAI, SDAI, HAQ-DI, mRSS, PASI, CLASI, etc.) through the rheumascore.xyz Fully Homomorphic Encryption (FHE) web API. Patient data is encrypted in-transit and computed upon in ciphertext. The skill provides structured workflows for data collection, score computation via browser automation, interpretation against validated thresholds, and guideline-concordant treatment recommendations per ACR, EULAR, and PANLAR guidelines.
We present RheumaScore, a production system that computes 157 validated clinical scores entirely on encrypted patient data using Fully Homomorphic Encryption (TFHE/BFV). The system encompasses 50 disease activity indices, 20 classification criteria, and 87 specialty scores spanning rheumatology, ICU, hepatology, oncology, pediatrics, obstetrics, geriatrics, and drug toxicity monitoring. Deployed at rheumascore.xyz, the zero-knowledge architecture ensures the server never accesses plaintext patient data, achieving regulatory compliance with LFPDPPP, GDPR, and HIPAA by mathematical guarantee rather than policy. Client-side AES-256-GCM encryption with ephemeral keys, homomorphic computation on ciphertext via a Flask API, and client-side decryption yield bit-exact agreement with plaintext reference implementations at sub-second latency. This work demonstrates that the perceived trade-off between clinical utility and data privacy is a false dichotomy.
