Pricing built for developers.

Simple fixed monthly fees + usage-based billing.

No sales calls. No opaque enterprise licensing.

Choose a tier and pay only for the data you process and store. Scale seamlessly as your product grows.

Free Developer

$0/month

Synthetic/mock data only

  • Unlimited calls
  • 1 GB processing + 1 GB storage (mock)
  • API keys instantly
  • No BAA

Starter

$49/month

Includes 1 GB processing + 1 GB storage

  • Overage: $50.00/GB processing + $12.50/GB storage
  • BAA included
Popular

Growth

$199/month

Includes 5 GB processing + 5 GB storage

  • Overage: $25.00/GB processing + $6.25/GB storage
  • BAA included

Scale

$899/month

Includes 20 GB processing + 20 GB storage

  • Overage: $10.00/GB processing + $2.50/GB storage
  • Priority Support
  • BAA included

Enterprise

$3,999/month

Includes 200 GB processing + 200 GB storage

  • Overage: $1.00/GB processing, $0.25/GB storage
  • Dedicated Slack + quarterly reviews
  • BAA included

How Usage Pricing Works

We meter usage by the data you process and the longitudinal FHIR data you store.

Processing

Every clinical document ingested (C-CDA, HL7, PDF, note, lab, ADT) is parsed, normalized to FHIR, and validated.

You are billed per GB processed.

Storage

Normalized FHIR data is stored in your longitudinal patient record.

You are billed per GB stored per month.

This model works for every use case: population health, chronic care, telehealth, urgent care, RPM, behavioral health, navigation, quality, risk analytics, or patient-facing apps.

Real-World Conversions

Understand how your business activity maps to usage.

1,000 patients (full longitudinal history)

≈ 1 GB initial processing

≈ 1.5 GB storage

1,000 outpatient visits

≈ 150–300 MB processed

≈ 100–200 MB stored (after normalization)

1,000 labs

≈ 80–200 MB processed

≈ similar stored

1,000 imported PDFs

≈ 200–700 MB processed

≈ 200–600 MB stored (after OCR + entity extraction)

1 patient per month (incremental)

≈ 0.2–0.5 MB new normalized data

These are averages across national exchange networks.

vs Building In-House

Building clinical data ingestion + normalization pipelines internally requires:

  • 2–4 full-time engineers
  • 1 data scientist/informaticist
  • 1 DevOps
  • Ongoing compliance + security reviews
  • 6–12 months to reach production
  • Tens of thousands per month in ops

With AccessHealthData, you pay only for what you use. No team required.

vs Incumbents

Health Gorilla, Zus, and other clinical data platforms use contract-based enterprise pricing with opaque minimums.

We provide:

  • Transparent pricing
  • No commit
  • No minimum volume
  • 10×–20× cheaper at scale
  • Predictable bills
  • Developer-first API access

You should never need to negotiate pricing just to get started.

Frequently Asked Questions

Build with normalized nationwide healthcare data in minutes, not months.