# Gemus AI

**Canonical:** https://apis.io/providers/gemus-ai/  
**Website:** https://gemus.ai/  
**APIs profiled:** 1

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.

## Kin Score — 13.3 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Access Clarity | 36.2 |

Regulatory layer — **AI & Biometrics**: 13.7 (matched via residual_tags).

## Agent readiness — 21.8 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | served |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | yes |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (1)

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

## Security (1)

- **Gemus AI Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Visual AI, Creative Platform, Workflows, Asset Generation, AI Models

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/gemus-ai/). Scores are computed from the provider's own public artifacts under a published rubric.