Magic Hour

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.

Magic Hour publishes 4 APIs on the APIs.io network, including Audio Projects API, Files API, Image Projects API, and 1 more. Tagged areas include AI Video, Image-Generation, Audio, Generative AI, and Voice Cloning.

The Magic Hour catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Magic Hour’s developer surface includes authentication, changelog, sandbox, pricing, engineering blog, and 24 more developer resources.

🌐 Visit website 📡 Source on GitHub

61.5/100 strong ▬ flat Agent 37/100 agent ready Full breakdown ↓
scored 2026-09-14 · rubric v0.22.0

2 APIs 1 MCP Servers

AI Video Image-Generation Audio Generative AI Voice Cloning Text-to-Video

Kin Score

Kin Score How this is scored →
scored 2026-09-14 · rubric v0.22.0

Composite quality — 61.5/100 · strong

Contract Quality 14.2 / 23

Developer Ergonomics 13.3 / 18

Access Clarity 12.5 / 18

Operational Transparency 8.6 / 12

Contract Governance 0.5 / 11

Discoverability 6.8 / 9

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 37/100 · agent ready

Machine-Readable Contract 18 / 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 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 6 / 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 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

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 github.com/api-evangelist/magichour: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 4

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

Magic Hour Audio Projects API

API related to audio projects

Magic Hour Files API

API related to uploading assets used for video generation

Magic Hour Image Projects API

API related to image projects

Magic Hour Video Projects API

API related to video projects

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Magic Hour MCP servers

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Magichour Plans Pricing

7 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Magichour Rate Limits

3 limits

RATE LIMITS

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Magichour Webhooks

ASYNCAPI

Security Posture 2

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

Magichour Authentication

http · 1 scheme

SECURITY

Magichour Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

Sandbox

Sandbox

Login

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

WellKnown

MCPServer

AgentSkill

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Conformance

ErrorCatalog

Lifecycle

Conventions

DataModel

Webhooks

Build 4

SDKs, sample code, and the tooling you integrate with

Packages

Packages

SDKs

SDKs

ToolCrosswalk

ToolCrosswalk

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 3

Status, limits, changes, and where to get help

StatusPage

StatusPage

ChangeLog

ChangeLog

RateLimits

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

AgentCard

AgentCard

Source (apis.yml)

aid: magichour
name: Magic Hour
description: 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.
type: Index
url: https://raw.githubusercontent.com/api-evangelist/magichour/refs/heads/main/apis.yml
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: true
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - openapi
  generated: '2026-08-28'
  method: derived
created: '2026-08-22'
modified: '2026-09-03'
image: https://magichour.ai/logo-social.png
specificationVersion: '0.23'
tags:
- AI Video
- Image-Generation
- Audio
- Generative AI
- Voice Cloning
- Text-to-Video
tags_raw:
- ai video
- image generation
- audio
- generative ai
- voice cloning
- text to video
apis:
- aid: magichour:magichour-audio-projects-api
  name: Magic Hour Audio Projects API
  description: API related to audio projects
  humanURL: https://docs.magichour.ai
  baseURL: https://api.magichour.ai
  tags:
  - Audio Projects
  properties:
  - type: OpenAPI
    url: openapi/magichour-audio-projects-api-openapi.yml
  - type: Overlay
    url: overlays/magichour-audio-projects-overlay.yaml
  - type: Documentation
    url: https://docs.magichour.ai
  - type: APIReference
    url: https://docs.magichour.ai/api-reference/openapi.json
  - type: Authentication
    url: https://docs.magichour.ai/get-started/authentication
  - type: GettingStarted
    url: https://docs.magichour.ai/get-started/quick-start
  - type: Webhooks
    url: https://docs.magichour.ai/integration/webhook/overview
- aid: magichour:magichour-files-api
  name: Magic Hour Files API
  description: API related to uploading assets used for video generation
  humanURL: https://docs.magichour.ai
  baseURL: https://api.magichour.ai
  tags:
  - File
  tags_raw:
  - Files
  properties:
  - type: OpenAPI
    url: openapi/magichour-files-api-openapi.yml
  - type: Overlay
    url: overlays/magichour-files-overlay.yaml
  - type: Documentation
    url: https://docs.magichour.ai
  - type: APIReference
    url: https://docs.magichour.ai/api-reference/openapi.json
  - type: Authentication
    url: https://docs.magichour.ai/get-started/authentication
  - type: GettingStarted
    url: https://docs.magichour.ai/get-started/quick-start
  - type: Webhooks
    url: https://docs.magichour.ai/integration/webhook/overview
- aid: magichour:magichour-image-projects-api
  name: Magic Hour Image Projects API
  description: API related to image projects
  humanURL: https://docs.magichour.ai
  baseURL: https://api.magichour.ai
  tags:
  - Image Projects
  properties:
  - type: OpenAPI
    url: openapi/magichour-image-projects-api-openapi.yml
  - type: Overlay
    url: overlays/magichour-image-projects-overlay.yaml
  - type: Documentation
    url: https://docs.magichour.ai
  - type: APIReference
    url: https://docs.magichour.ai/api-reference/openapi.json
  - type: Authentication
    url: https://docs.magichour.ai/get-started/authentication
  - type: GettingStarted
    url: https://docs.magichour.ai/get-started/quick-start
  - type: Webhooks
    url: https://docs.magichour.ai/integration/webhook/overview
- aid: magichour:magichour-video-projects-api
  name: Magic Hour Video Projects API
  description: API related to video projects
  humanURL: https://docs.magichour.ai
  baseURL: https://api.magichour.ai
  tags:
  - Video Projects
  properties:
  - type: OpenAPI
    url: openapi/magichour-video-projects-api-openapi.yml
  - type: Overlay
    url: overlays/magichour-video-projects-overlay.yaml
  - type: Documentation
    url: https://docs.magichour.ai
  - type: APIReference
    url: https://docs.magichour.ai/api-reference/openapi.json
  - type: Authentication
    url: https://docs.magichour.ai/get-started/authentication
  - type: GettingStarted
    url: https://docs.magichour.ai/get-started/quick-start
  - type: Webhooks
    url: https://docs.magichour.ai/integration/webhook/overview
common:
- type: DomainSecurity
  url: security/magichour-domain-security.yml
- type: Authentication
  url: authentication/magichour-authentication.yml
- type: LLMsTxt
  url: llms/magichour-llms.txt
- type: Website
  url: https://magichour.ai
- type: DeveloperPortal
  url: https://docs.magichour.ai
- type: Packages
  url: packages/magichour-packages.yml
- type: SDKs
  url: packages/magichour-packages.yml
- type: WellKnown
  url: well-known/magichour-well-known.yml
- type: MCPServer
  url: mcp/magichour-mcp.yml
- type: ToolCrosswalk
  url: mcp/magichour-tool-crosswalk.yml
- type: AgentCard
  url: a2a/magichour-a2a.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Conformance
  url: conformance/magichour-conformance.yml
- type: ErrorCatalog
  url: errors/magichour-problem-types.yml
- type: Lifecycle
  url: lifecycle/magichour-lifecycle.yml
- type: StatusPage
  url: lifecycle/magichour-lifecycle.yml
- type: Conventions
  url: conventions/magichour-conventions.yml
- type: ChangeLog
  url: changelog/magichour-changelog.yml
- type: Sandbox
  url: sandbox/magichour-sandbox.yml
- type: Plans
  url: plans/magichour-plans-pricing.yml
- type: RateLimits
  url: rate-limits/magichour-rate-limits.yml
- type: DataModel
  url: data-model/magichour-data-model.yml
- type: Webhooks
  url: asyncapi/magichour-webhooks.yml
- type: Pricing
  url: https://magichour.ai/pricing
- type: GitHubOrganization
  url: https://github.com/magichourhq
- type: Blog
  url: https://magichour.ai/blog
- type: TermsOfService
  url: https://magichour.ai/terms-of-service
- type: PrivacyPolicy
  url: https://magichour.ai/privacy-policy
- type: Login
  url: https://magichour.ai/developer
maintainers:
- FN: Magic Hour
  email: runbo@magichour.ai
  url: https://magichour.ai
x-provenance:
  added: '2026-08-22'
  method: searched
  source: https://docs.magichour.ai/llms.txt
  note: 'Submitted via apis.io/add on 2026-08-22 from runbo@magichour.ai and auto-published by the gate at rating 15. THE
    SUBMITTED APIs.json URL IS WRONG: https://docs.magichour.ai/apis.json returns 404, and an invented control path also 404s
    with a different body size, so the 404 is real rather than a catch-all. A bad pointer in the submission, not an absent
    surface. Everything here came from the provider''s own llms.txt, which names the specification at /api-reference/openapi.json.
    That was fetched (501KB, OpenAPI 3.0.2) and is kept pristine under openapi/_original/. Note the spec declares zero component
    schemas despite 36 operations, so request and response shapes are inline rather than reusable. The API was probed: POST
    api.magichour.ai/v1/ai-headshot-generator returned 401 JSON, which is correct gating on a live host. Two DIFFERENT llms.txt
    files exist, one on magichour.ai and one on docs.magichour.ai. Both are kept; the docs one is the richer and is what this
    profile was built from.'
x-enrichment:
  date: '2026-09-03'
  status: enriched
  artifacts_added: 30
  pass: local-v2

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