# AIGE

**Canonical:** https://apis.io/providers/aige-ws/  
**Website:** https://aige.ws/  
**APIs profiled:** 0

AIGE provides an AI-powered image and video studio that enables creators to generate characters, films, brand designs, and marketing assets from simple text prompts. The platform offers tools for AI image generation, video creation, digital twins, and brand consistency across campaigns, with integrations for Claude, Cursor, and popular creative tools. It includes a marketplace of models, pricing plans, and a developer portal for building custom workflows.

## Kin Score — 13.4 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0. Trend: falling (-5.1 from 18.5).

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 1.2 |
| Access Clarity | 36.8 |

Regulatory layer — **AI & Biometrics**: 20.0 (matched via residual_tags).

## Agent readiness — 21.6 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| 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 | yes |
| 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

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

## Security (2)

- **Aige Ws Domain Security** — TLSv1.3 · HSTS · DMARC
- **Aige Ws Vulnerability Disclosure** — security.txt · contact published

## Plans (1)

- **Aige Ws Plans Pricing**

## Tags

Artificial Intelligence, Image Generation, Video Generation, Branding, Platform

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