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 API contracts indexed 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 and 1 Spectral governance ruleset.

Magic Hour’s developer surface includes authentication, changelog, sandbox, pricing, engineering blog, support, and 30 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

63.2/100 strong ▬ flat Agent 53/100 agent ready Front door AI 6/6 dominant Heartbeat 100/100 alive Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessPaid

1 published contract 1 MCP Servers 3 Agent Skills

AI Video Image Generation Audio Generative AI Voice Cloning Video Generation A2A

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

AI Model Services

AE-110

Audio ProjectsImage ProjectsVideo Projects

POST /v1/ai-headshot-generator POST /v1/ai-image-generator POST /v1/ai-image-upscaler POST /v1/image-to-video

Kin Score

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

Composite quality — 63.2/100 · strong

Contract Quality 10.8 / 19

Developer Ergonomics 11.8 / 15

Access Clarity 11.5 / 15

Operational Transparency 6.7 / 10

Contract Governance 1.6 / 9

Discoverability 5.6 / 8

Regulatory Posture 2.5 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 53/100 · 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 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 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.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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):

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 →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too Ask about this →
Agentic Commerce Well-Known Document +5 pts — a parsing /.well-known/ucp.json or acp.json declaring a version and at least one service, OR (0.27) a live x402 payment challenge from _data/x402-adoption.json — `self` when its endpoints are on the provider's own domain, `platform` when they are on a vendor's Ask about this →
Dry-Run / Simulate Mode +4 pts — OpenAPI: destructive operations expose a dry_run / simulate / preview / validate_only parameter Ask about this →

2 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 57.6 — up to +10.6 composite points Ask about this →
Contract Governance scores 18.2 — up to +9.8 composite points Ask about this →
Access Clarity scores 76.6 — up to +4.7 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/magichour/apis.yml: open an issue on github.com/api-evangelist/magichour 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 6

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.

Agent2Agent

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

Agent Skills

measured — observed by APIs.io (published)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

OpenAPI

measured — observed by APIs.io (published)

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

Remote MCP server at mcp.magichour.ai requiring an API key.

MCP SERVER

Agent Skills 3

Packaged agent skills for driving this provider's APIs from an AI assistant.

Magichour

AGENT SKILL

magichour-generate-image

AGENT SKILL

magichour-generate-video

AGENT SKILL

Magic Hour API pricing

Prices published by Magic Hour.

Plan	Price
Creator	$19
Pro	$39
Business	$99
Starter credit pack	$10
Standard credit pack	$27
Large credit pack	$64
Max credit pack	$120

Plan details, limits and sources →

Rate limits

: 3
: 5
: unlimited

Rate-limit details →

Pricing Plans 2

Published pricing tiers and plan structures.

Magic Hour Plans Pricing

7 plans

PLANS

Magic Hour Price Estimates

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Magic Hour Rate Limits

3 limits

RATE LIMITS

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

Magic Hour

10 quoted statements, read from Magic Hour's own page on 2026-11-10.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

Magic Hour

18 quoted statements, read from Magic Hour's own page on 2026-11-10.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

Magic Hour

4 quoted statements, read from Magic Hour's own page on 2026-11-10.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

Magic Hour

2 quoted statements, read from Magic Hour's own page on 2026-11-10.

AI PREFS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

Magic Hour

2 quoted statements, read from Magic Hour's own page on 2026-11-10.

LICENSE

FinOps 1

Cost, billing, and metering signals for API financial operations.

Magic Hour Finops

FINOPS

Event Specifications 1

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

Magichour Webhooks

ASYNCAPI

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Magic Hour API Rules

54 rules · 49 error-severity 4 warn-severity 1 info-severity

SPECTRAL

OpenAPI Overlays 4

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Magic Hour Audio Projects Overlay

3 actions · update · magichour-audio-projects-api-openapi.yml

DERIVED

Magic Hour Files Overlay

3 actions · update · magichour-files-api-openapi.yml

DERIVED

Magic Hour Image Projects Overlay

3 actions · update · magichour-image-projects-api-openapi.yml

DERIVED

Magic Hour Video Projects Overlay

3 actions · update · magichour-video-projects-api-openapi.yml

DERIVED

Security Posture 2

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

Magic Hour Authentication

http · 1 scheme

SECURITY

Magic Hour Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

Sandbox

Sandbox

Login

Documentation 1

Reference material describing how the API behaves

AIPreferences

AIPreferences

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 4

Status, limits, changes, and where to get help

StatusPage

ChangeLog

RateLimits

Support

Commercial 6

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

UsageTerms

DataLicense

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 4

Properties that don't map to a standard resource type

CapabilityMap

AgentCard

DataProcessing

Eligibility

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
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: high
  source:
  - plans
  - authentication
  - rate-limits
  - security
  - sandbox
  generated: '2026-11-13'
  method: derived
created: '2026-08-22'
modified: '2026-09-03'
image: https://magichour.ai/logo-social.png
specificationVersion: '0.23'
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
tags:
- AI Video
- Image Generation
- Audio
- Generative AI
- Voice Cloning
- Video Generation
- A2A
tags_raw:
- ai video
- image generation
- audio
- generative ai
- voice cloning
- text to video
- Image-Generation
- A2A
- 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: CapabilityMap
  url: capabilities/magichour-capability-edges.yml
  name: Magic Hour Business Capability Map
- 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
- type: Support
  url: mailto:support@magichour.ai
- type: UsageTerms
  url: terms/magichour-terms-of-service.yml
- type: DataProcessing
  url: privacy/magichour-privacy-policy.yml
- type: Eligibility
  url: eligibility/magichour-eligibility.yml
- type: AIPreferences
  url: ai-preferences/magichour-ai-preferences.yml
- type: DataLicense
  url: data-license/magichour-data-license.yml
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
x-a2a:
  verified: true
  probed: '2026-09-26'
  url: https://docs.magichour.ai/.well-known/agent-card.json
  grade: conformant
  protocol_version: '0.3'
  control: 404

Magic Hour API — frequently asked questions

Does Magic Hour have an API?

Yes. APIs.io lists 4 APIs from Magic Hour, including Magic Hour Audio Projects API, Magic Hour Files API and Magic Hour Image Projects API, and 1 more.

Is there an OpenAPI specification for the Magic Hour API?

Yes. APIs.io indexes 4 OpenAPI specifications for Magic Hour, each linked for download from this page.

How do I authenticate with the Magic Hour API?

Magic Hour documents its authentication (http · 1 scheme). The details are profiled on APIs.io as Magic Hour Authentication.

How much does the Magic Hour API cost?

Magic Hour publishes its prices; its Creator plan is $19 as of 2026-09-03. APIs.io lists 7 pricing plans for Magic Hour, with each plan's price, limits and inclusions under Pricing on this page.

Does Magic Hour have an MCP server?

Yes. APIs.io lists 1 MCP server for Magic Hour: Remote MCP server at mcp.magichour.ai requiring an API key.

Is the Magic Hour API ready for AI agents?

Magic Hour has a Kin Score of 63.2 out of 100 (strong) and an Agent Readiness score of 53.2 (agent-ready), scored by API Evangelist on 2026-11-13.

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