For Developers & Health Tech

Pricing transparency data for your pipeline.

Building a pricing feature on raw transparency files means standing up a data pipeline that ingests, parses, and normalizes terabytes of inconsistent MRF data, before you ship a single screen. SumHealth gives you that data as a clean, fast API instead.

  • REST + GraphQL
  • Sub-50ms latency
  • SOC 2 Type II aligned
Software developers collaborating at a modern tech office with code on their screens
Performance <50ms p99 API response latency 99.99% uptime SLA
Close-up of a developer at a keyboard with clean code and an API on the monitor
The challenge

The data pipeline you don't want to build

Pricing transparency data is public, but turning it into something an application can query in real time is a serious, ongoing infrastructure problem.

engineering

Ingestion is a project, not a feature

Parsing hundreds of gigabytes of MRF JSON across thousands of inconsistent payer and hospital feeds is a full data-engineering effort that competes with your roadmap.

sync_problem

Data goes stale fast

MRF files refresh on their own schedules. Keeping a pipeline current means building monitoring, retries, and reconciliation you have to maintain forever.

speed

Real-time pricing is hard

Patient-facing estimators need answers in milliseconds. Serving normalized rates at low latency and scale is its own distributed-systems challenge.

lock

Compliance overhead

Healthcare-grade security, authentication, and uptime guarantees add months of work before you can responsibly put pricing data in front of users.