# Magic Hour

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

Magic Hour is an AI media generation platform for video, image and audio, exposed as a public REST API. The contract is an OpenAPI 3.0 document of 33 paths and 36 operations served from api.magichour.ai with bearer authentication, covering generators for headshots, clothes changing, face editing, GIFs, image editing and upscaling, plus video and audio synthesis. Operations are priced in credits and the documentation states the credit cost per call. Magic Hour publishes two llms.txt files — one on the marketing site and a different one on the docs host — plus a 653KB llms-full.txt, and documents an HMAC-SHA256 signed webhook surface with a full event-type reference.

## Kin Score — 23.1 / 100 (emerging)

Scored 2026-08-25 under rubric 0.14.0. Trend: flat (+0.0 from 23.1).

| Facet | Score |
|---|---|
| Discoverability | 72.2 |
| Contract Quality | 55.8 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 9.5 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 20.5 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | bearer |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | verified |
| 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 | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |

## APIs (1)

- **Magic Hour API** — AI generation of video, image and audio — headshots, clothes changer, face editor, GIF generator, image editor and upscaler among 36 operations. Bearer auth, credit-priced.

## Tags

AI, Media Generation, Video, Image, Audio, Generative AI, Webhooks

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