Gemus AI

Gemus AI provides a visual AI workflow platform that enables users to create AI‑powered design processes through an intuitive node‑based canvas. The service offers integration with multiple generative models, allowing for image generation, editing, and automation within a collaborative environment. It targets designers, developers, and creative teams seeking to streamline AI‑enhanced content creation.

Gemus AI is listed with 1 API on the APIs.io network. Tagged areas include Visual AI, Creative Platform, Workflows, Asset Generation, and AI Models.

Gemus AI’s developer surface includes support, pricing, and 7 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

13.3/100 emerging Agent 22/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 API

Visual AI Creative Platform Workflows Asset Generation AI Models

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 13.3/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.8 / 17

Access Clarity 6.2 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.9 / 9

Regulatory Posture 2.1 / 15

Agent readiness — 22/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics 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/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented) Ask about this →

8 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points Ask about this →
Developer Ergonomics scores 4.8 — up to +19.0 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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 the provider profile at artifacts.apis.io/gemus-ai/apis.yml: open an issue on github.com/api-evangelist/gemus-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 3

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

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

Gemus AI API

Gemus AI provides a visual AI workflow platform with an API (MCP) that is currently gated behind authentication.

Security Posture 1

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

Gemus AI Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Pricing

Pricing

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

Hosts

Hosts

Source (apis.yml)

aid: gemus-ai
name: Gemus AI
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: gated
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://gemus.ai/og-image.png
description: Gemus AI provides a visual AI workflow platform that enables users to create AI‑powered design processes through
  an intuitive node‑based canvas. The service offers integration with multiple generative models, allowing for image generation,
  editing, and automation within a collaborative environment. It targets designers, developers, and creative teams seeking
  to streamline AI‑enhanced content creation.
url: https://artifacts.apis.io/gemus-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-09 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-09'
modified: '2026-11-09'
tags:
- Visual AI
- Creative Platform
- Workflows
- Asset Generation
- AI Models
tags_raw:
- Visual AI
- Creative Platform
- Workflow
- Asset Generation
- AI Models
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: WellKnown
  url: well-known/gemus-ai-well-known.yml
- type: Hosts
  url: hosts/gemus-ai-hosts.yml
- type: TermsOfService
  url: https://gemus.ai/terms
- type: Support
  url: https://gemus.ai/help
- type: PrivacyPolicy
  url: https://gemus.ai/privacy
- type: Pricing
  url: https://gemus.ai/pricing
- type: Login
  url: https://gemus.ai/auth/signin
- type: DomainSecurity
  url: security/gemus-ai-domain-security.yml
- type: Website
  url: https://gemus.ai/
apis:
- name: Gemus AI API
  description: Gemus AI provides a visual AI workflow platform with an API (MCP) that is currently gated behind authentication.
  humanURL: https://gemus.ai/pricing
  baseURL: null
  aid: gemus-ai:gemus-ai-api
x-coverage:
  state: gated
  reason: partner-login
  method: derived
  generated: '2026-11-09'
  generator: derive-coverage.py (pre-flight evidence)
  detail: the company serves an API surface but requires credentials before any description of it can be read
  evidence:
  - url: https://gemus.ai/api/mcp
    status: 401
  - url: https://gemus.ai/
    status: 200
x-enrichment:
  date: '2026-11-09'
  status: enriched
  artifacts_added: 11
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Gemus AI API — frequently asked questions

Does Gemus AI have an API?

Yes. APIs.io lists 1 API from Gemus AI, including Gemus AI API.

Is the Gemus AI API ready for AI agents?

Gemus AI has a Kin Score of 13.3 out of 100 (emerging) and an Agent Readiness score of 21.8 (agent-aware), scored by API Evangelist on 2026-11-13.

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