Genialis

Genialis is a precision oncology company that builds AI models of cancer biology to find and validate biomarkers for drug developers. Its commercial platform, Genialis Expressions, is a multiomics and clinical data infrastructure for RNA-seq and related assays, and its Genialis Supermodel is a foundation model of cancer biology used for response prediction (krasID, adcID, DDR). The Expressions platform exposes a public Django REST Framework API at app.genialis.com covering data objects, samples, collections, processes, annotations, predictions and variants, published as a live OpenAPI 3.0.3 document, and is consumed programmatically through the open-source ReSDK Python client. Genialis also maintains the open-source Resolwe dataflow engine and Resolwe Bioinformatics pipelines that the platform is built on. Founded in Slovenia with offices in Boston, Houston and Ljubljana.

Genialis publishes 1 API on the APIs.io network: Expressions API. Tagged areas include Company, Bioinformatics, Precision Medicine, Genomics, and Life Sciences.

Genialis’ developer surface includes documentation, getting-started guide, API reference, signup flow, support, engineering blog, authentication, and 20 more developer resources.

🌐 Visit website 📡 Source on GitHub

45.9/100 developing ▬ flat Agent 34/100 agent ready Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0

1 APIs

Company Bioinformatics Precision Medicine Genomics Life Sciences HealthcareMachine LearningArtificial Intelligence Multiomics Oncology Data PlatformOpen Source

Kin Score

Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0

Composite quality — 45.9/100 · developing

Contract Quality 9.1 / 21

Developer Ergonomics 11.2 / 17

Access Clarity 6.3 / 17

Operational Transparency 2.0 / 11

Contract Governance 1.2 / 10

Discoverability 6.8 / 9

Regulatory Posture 5.6 / 15

Agent readiness — 34/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 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 6 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 6 / 6

Agentic Commerce Surface 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.

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/. This rating is computed from github.com/api-evangelist/genialis: 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.

Rate Limits 1

Documented rate limits and quota policies.

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conformance

Conventions

ErrorCatalog

Lifecycle

DataModel

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 4

Authentication, authorization, and security posture

Compliance

TrustCenter

DomainSecurity

Authentication

Operate 3

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Plans

Plans

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: genialis
name: Genialis
description: Genialis is a precision oncology company that builds AI models of cancer biology to find and validate biomarkers
  for drug developers. Its commercial platform, Genialis Expressions, is a multiomics and clinical data infrastructure for
  RNA-seq and related assays, and its Genialis Supermodel is a foundation model of cancer biology used for response prediction
  (krasID, adcID, DDR). The Expressions platform exposes a public Django REST Framework API at app.genialis.com covering data
  objects, samples, collections, processes, annotations, predictions and variants, published as a live OpenAPI 3.0.3 document,
  and is consumed programmatically through the open-source ReSDK Python client. Genialis also maintains the open-source Resolwe
  dataflow engine and Resolwe Bioinformatics pipelines that the platform is built on. Founded in Slovenia with offices in
  Boston, Houston and Ljubljana.
image: https://www.genialis.com/wp-content/uploads/2023/12/Genialis-large-logo.png
url: https://raw.githubusercontent.com/api-evangelist/genialis/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-08-21'
modified: '2026-08-21'
tags:
- Company
- Bioinformatics
- Precision Medicine
- Genomics
- Life Sciences
- Healthcare
- Machine Learning
- Artificial Intelligence
- Multiomics
- Oncology
- Data Platform
- Open Source
apis:
- name: Genialis Expressions API
  description: The REST API behind the Genialis Expressions platform, built on the open-source Resolwe dataflow engine and
    Django REST Framework. Covers data objects, samples, collections, relations, processes, descriptor schemas, annotations,
    prediction fields and values, variants and variant calls, permissions, users and groups, plus session/SAML authentication
    and platform version endpoints. The live OpenAPI 3.0.3 document is served by drf-spectacular at https://app.genialis.com/api/schema
    and describes 254 operations across 169 paths.
  humanURL: https://docs.genialis.com/resdk/
  baseURL: https://app.genialis.com
  tags:
  - Bioinformatics
  - Genomics
  - Multiomics
  - Data Platform
  properties:
  - type: OpenAPI
    url: openapi/genialis-base-openapi.yaml
  - type: Overlay
    url: overlays/genialis-base-overlay.yaml
  - type: Documentation
    url: https://docs.genialis.com/resdk/
  - type: APIReference
    url: https://app.genialis.com/api/schema
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.genialis.com/
- type: DeveloperPortal
  url: https://docs.genialis.com/
- type: Documentation
  url: https://docs.genialis.com/
- type: GettingStarted
  url: https://docs.genialis.com/resdk/start.html
- type: APIReference
  url: https://app.genialis.com/api/schema
- type: GitHubOrganization
  url: https://github.com/genialis
- type: SignUp
  url: https://app.genialis.com/
- type: Support
  url: https://genialis.atlassian.net/servicedesk/customer/portal/3
- type: Blog
  url: https://www.genialis.com/category/news/
- type: TermsOfService
  url: https://www.genialis.com/terms-of-service/
- type: PrivacyPolicy
  url: https://www.genialis.com/privacy-policy/
- type: Compliance
  url: https://www.genialis.com/compliance/
- type: TrustCenter
  url: security/genialis-trust-center.yml
- type: DomainSecurity
  url: security/genialis-domain-security.yml
- type: Authentication
  url: authentication/genialis-authentication.yml
- type: Packages
  url: packages/genialis-packages.yml
- type: SDKs
  url: packages/genialis-packages.yml
- type: Conformance
  url: conformance/genialis-conformance.yml
- type: Conventions
  url: conventions/genialis-conventions.yml
- type: ErrorCatalog
  url: errors/genialis-problem-types.yml
- type: Lifecycle
  url: lifecycle/genialis-lifecycle.yml
- type: ChangeLog
  url: changelog/genialis-changelog.yml
- type: DataModel
  url: data-model/genialis-data-model.yml
- type: Plans
  url: plans/genialis-plans-pricing.yml
- type: RateLimits
  url: rate-limits/genialis-rate-limits.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/genialis-llms.txt
x-enrichment:
  date: '2026-08-21'
  status: enriched
  artifacts_added: 23
  pass: local-v1
x-notes: 'No WellKnown pointer is emitted on purpose: no genialis.com host serves any /.well-known document. app.genialis.com
  answers 200 with an identical 1377-byte SPA shell for every path including a random control, and www/docs return honest
  404s. The one real document found (OIDC discovery, saved to well-known/) is served by the provider''s Auth0 tenant, which
  is hosted-IdP boilerplate rather than a surface Genialis publishes. Likewise no MCPServer pointer (mcp/ holds a derived
  candidate, deployment mode none), no AgentCard (probe missed on every host), no Idempotency (the API has no idempotency
  key), and no StatusPage/Deprecation/Security (none published).'

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Genialis

Kin Score

APIs 1

Genialis Expressions API

Pricing Plans 1

Genialis Plans Pricing