RapidAI

RapidAI (legal entity iSchemaView, Inc., San Mateo, California) builds a deep clinical AI platform for medical imaging, best known for the Rapid product family used in stroke and vascular care. Founded in 2012 by Stanford researchers Roland Bammer and Gregory Albers, its FDA-cleared modules — Rapid ASPECTS, Rapid CTA, Rapid CTP, Rapid LVO, Rapid ICH, Rapid MRI, Rapid PE, Rapid Aortic, Rapid Aneurysm and Lumina 3D — analyze non-contrast CT, CT angiography, CT perfusion and MRI studies to triage ischemic stroke, hemorrhagic stroke, aneurysm, pulmonary embolism and aortic disease. The Rapid Enterprise Platform runs on-premise, in the cloud, or on Rapid Edge Cloud, and integrates with hospital PACS, RIS, EHR and radiology worklist systems through standard HL7, FHIR and DICOM interfaces plus custom APIs. RapidAI runs a Rapid Technology Partner Program with an API that lets technology partners integrate Rapid results into their own products; that API is commercial and gated — there is no public developer portal, OpenAPI definition, or self-service sign-up.

RapidAI publishes 1 API on the APIs.io network. Tagged areas include Healthcare, Medical Imaging, Artificial Intelligence, Radiology, and Clinical Decision Support.

RapidAI’s developer surface includes support, engineering blog, authentication, and 20 more developer resources.

25.3/100 emerging ▬ flat Agent 9/100 agent aware Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
1 APIs
HealthcareMedical ImagingArtificial IntelligenceRadiologyClinical Decision SupportStrokeDICOMHL7FHIRDiagnostics

Kin Score

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scored 2026-08-05 · rubric v0.9.1
Composite quality — 25.3/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 3.5 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 0.7 / 13
Governance 1.5 / 12
Discoverability 8.7 / 10
Agent readiness — 9/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/rapidai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Rapid Technology Partner API

The commercial API behind the Rapid Technology Partner Program, which lets technology partners integrate Rapid imaging results into their own products and services. Access is gr...

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Rapidai Authentication

unknown-api-token/saml-sso · 3 schemes

SECURITY

Rapidai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Rapidai Trust Center

HIPAA, GDPR, ISO 13485, ISO 27001, ISO 27701, ISO 42001, SOC 2 Type 2, CSA STAR

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 4

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 8

The organization behind the API

Scroll for all 8

Other 2

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: rapidai
name: RapidAI
description: RapidAI (legal entity iSchemaView, Inc., San Mateo, California) builds a deep clinical AI platform for medical
  imaging, best known for the Rapid product family used in stroke and vascular care. Founded in 2012 by Stanford researchers
  Roland Bammer and Gregory Albers, its FDA-cleared modules — Rapid ASPECTS, Rapid CTA, Rapid CTP, Rapid LVO, Rapid ICH, Rapid
  MRI, Rapid PE, Rapid Aortic, Rapid Aneurysm and Lumina 3D — analyze non-contrast CT, CT angiography, CT perfusion and MRI
  studies to triage ischemic stroke, hemorrhagic stroke, aneurysm, pulmonary embolism and aortic disease. The Rapid Enterprise
  Platform runs on-premise, in the cloud, or on Rapid Edge Cloud, and integrates with hospital PACS, RIS, EHR and radiology
  worklist systems through standard HL7, FHIR and DICOM interfaces plus custom APIs. RapidAI runs a Rapid Technology Partner
  Program with an API that lets technology partners integrate Rapid results into their own products; that API is commercial
  and gated — there is no public developer portal, OpenAPI definition, or self-service sign-up.
url: https://raw.githubusercontent.com/api-evangelist/rapidai/refs/heads/main/apis.yml
image: https://www.rapidai.com/hubfs/RapidAILogo_New.png
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-08-02'
modified: '2026-08-02'
tags:
- Healthcare
- Medical Imaging
- Artificial Intelligence
- Radiology
- Clinical Decision Support
- Stroke
- DICOM
- HL7
- FHIR
- Diagnostics
apis:
- aid: rapidai:rapid-platform-api
  name: Rapid Technology Partner API
  description: The commercial API behind the Rapid Technology Partner Program, which lets technology partners integrate Rapid
    imaging results into their own products and services. Access is granted through the partner program — RapidAI publishes
    no public developer portal, no OpenAPI/Swagger definition, and no self-service sign-up. The production API host observed
    in RapidAI's own Rapid Web App bundle is a versioned (v4) AWS API Gateway surface that returns 403 "Missing Authentication
    Token" to anonymous callers. Hospital-side integration is documented as standard HL7, FHIR and DICOM interfaces plus custom
    APIs against PACS, RIS, EHR and radiology worklist systems.
  humanURL: https://www.rapidai.com/platform/workflow-integration
  baseURL: https://api.us.rapid-sys.com
  tags:
  - Medical Imaging
  - Healthcare
  - DICOM
  - Partner API
  properties:
  - type: Authentication
    url: authentication/rapidai-authentication.yml
  - type: Lifecycle
    url: lifecycle/rapidai-lifecycle.yml
  x-evidence:
    fetched: '2026-08-02'
    base_url_source: https://app.rapidai.com/main.0aa463f11046e124.js
    base_url_probe:
      url: https://api.us.rapid-sys.com/v4
      http_status: 403
      body: '{"message":"Missing Authentication Token"}'
    partner_program: https://www.rapidai.com/partners
    integration_docs: https://www.rapidai.com/platform/workflow-integration
    openapi: none found — see well-known/rapidai-well-known.yml for the probe log
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.rapidai.com/
- type: Support
  url: https://www.rapidai.com/customer-support
- type: HelpCenter
  url: https://www.rapidai.com/faq
- type: Blog
  url: https://www.rapidai.com/blog
- type: BlogRSS
  url: https://www.rapidai.com/blog/rss.xml
- type: GitHubOrganization
  url: https://github.com/ischemaview
- type: Login
  url: https://app.rapidai.com/
- type: PrivacyPolicy
  url: https://www.rapidai.com/privacy-policy
- type: ContactUs
  url: https://www.rapidai.com/contact-us
- type: Press
  url: https://www.rapidai.com/news-and-press
- type: Careers
  url: https://www.rapidai.com/careers
- type: About
  url: https://www.rapidai.com/about-us
- type: Education
  url: https://u.rapid.ai/
- type: Partners
  url: https://www.rapidai.com/partners
- type: LinkedIn
  url: https://www.linkedin.com/company/rapid-ai/
- type: SecondaryMarket
  url: https://forgeglobal.com/rapidai_stock/
- type: Authentication
  url: authentication/rapidai-authentication.yml
- type: Lifecycle
  url: lifecycle/rapidai-lifecycle.yml
- type: Conformance
  url: conformance/rapidai-conformance.yml
- type: Compliance
  url: https://www.rapidai.com/it
- type: TrustCenter
  url: security/rapidai-trust-center.yml
- type: DomainSecurity
  url: security/rapidai-domain-security.yml
- type: LLMsTxt
  url: llms/rapidai-llms.txt
x-enrichment:
  date: '2026-08-02'
  status: enriched
  artifacts_added: 7
  pass: local-v1