Mendel AI

Mendel AI is a San Jose, California clinical AI company founded in 2017 by Dr. Karim Galil to streamline oncology research by organizing real-world data and accelerating clinical-trial workflows. Its flagship platform, Mendel Hypercube, pairs large language models with a clinician-built clinical knowledge hypergraph to add physician-like reasoning to LLMs operating over electronic health records, pathology reports, genomic data, clinician notes, claims, diagnostic data, and EDC submissions. Hypercube is offered as three productized experiences — Hypercube Cohort for patient cohort discovery (with funnel-style criteria analysis and direct integration to clinicaltrials.gov), Hypercube Analyst for AI-driven analysis of structured and unstructured real-world data, and Build Your Own Hypercube for custom clinical-data queries. The platform integrates with enterprise data warehouses (Databricks, Snowflake) and BI tools (Tableau, Qlik), and is available through the AWS Marketplace, Microsoft Azure Marketplace, and natively on the Snowflake AI Data Cloud. Mendel serves pharma, providers, payers, and research organizations including Quest Diagnostics, Boston Scientific, Gatehouse Bio, and the University of Pennsylvania, with published evidence in oncology trial prescreening. Mendel has no public developer portal, OpenAPI specification, SDK, or open-source GitHub repositories; integration is delivered through enterprise contracts and cloud-marketplace deployments.

Mendel AI is profiled on the APIs.io network. Tagged areas include Clinical AI, Healthcare AI, Oncology, Clinical Trials, and Patient Cohort Discovery.

Mendel AI’s developer surface includes engineering blog, GitHub presence, and 11 more developer resources.

🌐 Visit website 📡 Source on GitHub
4.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
Clinical AIHealthcare AIOncologyClinical TrialsPatient Cohort DiscoveryReal-World DataElectronic Health RecordsNatural Language ProcessingLarge Language ModelsClinical Knowledge GraphPharmacovigilancePrecision MedicineLife Sciences

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Composite quality — 4.2/100 · minimal
Contract Quality 0.0 / 21
Developer Ergonomics 0.2 / 17
Access Clarity 0.0 / 17
Operational Transparency 0.6 / 11
Contract Governance 0.0 / 10
Discoverability 4.3 / 9
Regulatory Posture 1.1 / 15
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 0 / 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
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Well-Known Document 0 / 5
Regulatory Posture applies to this provider. Its tags matched the Health regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/mendel-ai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

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

Mendel Ai Domain Security

DNSSEC · DMARC

SECURITY

Resources

Build 1

SDKs, sample code, and the tooling you integrate with

GitHub
GitHub

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 3

The organization behind the API

Website
Website
 Blog
Blog
 LinkedIn
LinkedIn

Other 8

Properties that don't map to a standard resource type

Hypercube
Hypercube
 HypercubeCohort
HypercubeCohort
 HypercubeAnalyst
HypercubeAnalyst
 BuildYourOwnHypercube
BuildYourOwnHypercube
 HypercubeApp
HypercubeApp
 AWSMarketplace
AWSMarketplace
 AzureMarketplace
AzureMarketplace
 Publications
Publications

Scroll for all 8

Source (apis.yml)

apis.yml Raw ↑ 
aid: mendel-ai
name: Mendel AI
description: Mendel AI is a San Jose, California clinical AI company founded in 2017 by Dr. Karim Galil to streamline oncology
  research by organizing real-world data and accelerating clinical-trial workflows. Its flagship platform, Mendel Hypercube,
  pairs large language models with a clinician-built clinical knowledge hypergraph to add physician-like reasoning to LLMs
  operating over electronic health records, pathology reports, genomic data, clinician notes, claims, diagnostic data, and
  EDC submissions. Hypercube is offered as three productized experiences — Hypercube Cohort for patient cohort discovery (with
  funnel-style criteria analysis and direct integration to clinicaltrials.gov), Hypercube Analyst for AI-driven analysis of
  structured and unstructured real-world data, and Build Your Own Hypercube for custom clinical-data queries. The platform
  integrates with enterprise data warehouses (Databricks, Snowflake) and BI tools (Tableau, Qlik), and is available through
  the AWS Marketplace, Microsoft Azure Marketplace, and natively on the Snowflake AI Data Cloud. Mendel serves pharma, providers,
  payers, and research organizations including Quest Diagnostics, Boston Scientific, Gatehouse Bio, and the University of
  Pennsylvania, with published evidence in oncology trial prescreening. Mendel has no public developer portal, OpenAPI specification,
  SDK, or open-source GitHub repositories; integration is delivered through enterprise contracts and cloud-marketplace deployments.
type: Index
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
position: Producing
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/mendel-ai.png
tags:
- Clinical AI
- Healthcare AI
- Oncology
- Clinical Trials
- Patient Cohort Discovery
- Real-World Data
- Electronic Health Records
- Natural Language Processing
- Large Language Models
- Clinical Knowledge Graph
- Pharmacovigilance
- Precision Medicine
- Life Sciences
tags_raw:
- Clinical AI
- Healthcare AI
- Oncology
- Clinical Trials
- Patient Cohort Discovery
- Real World Data
- Electronic Health Records
- Natural Language Processing
- Large Language Models
- Clinical Knowledge Graph
- Pharmacovigilance
- Precision Medicine
- Life Sciences
url: https://raw.githubusercontent.com/api-evangelist/mendel-ai/refs/heads/main/apis.yml
created: '2026-05-25'
modified: '2026-05-25'
specificationVersion: '0.23'
apis: []
common:
- type: DomainSecurity
  url: security/mendel-ai-domain-security.yml
- type: Website
  url: https://www.mendel.ai
- type: Hypercube
  url: https://www.mendel.ai/hypercube
- type: HypercubeCohort
  url: https://www.mendel.ai/product/hypercube-cohort
- type: HypercubeAnalyst
  url: https://www.mendel.ai/product/hypercube-analyst
- type: BuildYourOwnHypercube
  url: https://www.mendel.ai/product/build-your-own
- type: HypercubeApp
  url: https://ai03-hypercube.mendel.ai/
- type: AWSMarketplace
  url: https://aws.amazon.com/marketplace/pp/prodview-6fjtfvuwwuhfm
- type: AzureMarketplace
  url: https://www.mendel.ai/post/hypercube-platform-from-mendel-now-available-in-the-microsoft-azure-marketplace
- type: Publications
  url: https://www.mendel.ai/resources/publications
- type: Blog
  url: https://www.mendel.ai/blog
- type: LinkedIn
  url: https://www.linkedin.com/company/mendel-ai
- type: GitHub
  url: https://github.com/mendel-ai
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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