Martini

Martini is a collaborative, AI-native filmmaking platform — "Figma for filmmaking" — that lets teams generate, direct, and edit AI video in real time and export to professional editing software (Adobe Premiere Pro, DaVinci Resolve) via XML. Filmmakers compose shots with virtual camera control, keep characters consistent across shots using reusable Subjects, and generate footage across leading models (Google Veo 3.1, Kling 3.0 Pro, OpenAI Sora 2, MiniMax Hailuo 02, ByteDance Seedance, Nano Banana Pro, Flux 2). Its developer surface is a hosted, OAuth-secured Model Context Protocol (MCP) connector at https://www.martini.film/mcp that lets AI assistants (Claude Desktop/Code, Gemini CLI, ChatGPT, Cursor) browse projects, organize canvases and subjects, upload references, and run approved generation inside a user's own account. Martini also publishes open Agent Skills on GitHub, including a Blender-to-Martini camera-faithful handoff. Built by C47 Inc.; Y Combinator Winter 2026.

Martini is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Video, Filmmaking, and Generative AI.

Martini’s developer surface includes engineering blog, documentation, API reference, pricing, signup flow, support, authentication, and 14 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

24.1/100 emerging ▬ flat Agent 31/100 agent ready Front door AI 5/6 prominent Heartbeat 36/100 slowing saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaidSelf serve

1 API 1 MCP Servers 2 Agent Skills

Company Artificial Intelligence Video Filmmaking Generative AI Creative Tools MCP Agents Collaboration Media Production

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 24.1/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 6.5 / 17

Access Clarity 6.5 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.5 / 10

Discoverability 6.4 / 9

Regulatory Posture 3.1 / 15

Agent readiness — 31/100 · agent ready

Machine-Readable Contract 0 / 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 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 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 could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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<a href="https://apis.io/providers/martini/"><img src="https://apis.io/badge/martini/card.svg" alt="Martini on APIs.io — Kin Score by API Evangelist"></a>

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

7 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 0.0 — up to +25.0 composite points
Operational Transparency scores 2.6 — up to +12.7 composite points
Developer Ergonomics scores 38.1 — up to +12.4 composite points

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.

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/martini/apis.yml: open an issue on github.com/api-evangelist/martini 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Agent Skills (SKILL.md packages)	undeclared	-	1	2
Film & Media Identifiers (EIDR, ISAN, MovieLabs, DPP)	undeclared	-	1	2

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 4

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.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

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)

APIs 1

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

Martini MCP Connector

Hosted, OAuth-secured Model Context Protocol server that lets supported AI assistants work inside Martini projects using the signed-in user's account permissions — browse projec...

MCP Servers 1

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

Martini MCP Server

Remote MCP server at www.martini.film over HTTP requiring OAuth; 22 tools listed.

MCP SERVER

Agent Skills 2

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

blender-to-martini

AGENT SKILL

martini-skills

AGENT SKILL

Martini API pricing

Prices published by Martini, read 2026-10-07 from www.martini.film/pricing. A free plan or tier is listed.

Plan	Price
Indie	Free Includes: $0 monthly credits; access to all models; commercial license
Pro	$30/mo Includes: 300 olives/mo ≈ 37 clips every month
Studio	$150/mo Includes: 1,500 olives/mo ≈ 187 clips every month; project-based billing
Enterprise	Custom Includes: Bespoke credits
Olive credit unit	1 = $0.10 USD Includes: One 8-second clip costs 8 olives ($0.80)

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Martini Plans Pricing

5 plans

PLANS

Security Posture 3

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

Martini Authentication

oauth2 · 1 scheme

SECURITY

Martini Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Martini Vulnerability Disclosure

Hackerone · contact published

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

Authentication

Authentication

Security

Security

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Blog

Blog

Website

Website

Other 1

Properties that don't map to a standard resource type

Download

Download

Source (apis.yml)

aid: martini
name: Martini
description: Martini is a collaborative, AI-native filmmaking platform — "Figma for filmmaking" — that lets teams generate,
  direct, and edit AI video in real time and export to professional editing software (Adobe Premiere Pro, DaVinci Resolve)
  via XML. Filmmakers compose shots with virtual camera control, keep characters consistent across shots using reusable Subjects,
  and generate footage across leading models (Google Veo 3.1, Kling 3.0 Pro, OpenAI Sora 2, MiniMax Hailuo 02, ByteDance Seedance,
  Nano Banana Pro, Flux 2). Its developer surface is a hosted, OAuth-secured Model Context Protocol (MCP) connector at https://www.martini.film/mcp
  that lets AI assistants (Claude Desktop/Code, Gemini CLI, ChatGPT, Cursor) browse projects, organize canvases and subjects,
  upload references, and run approved generation inside a user's own account. Martini also publishes open Agent Skills on
  GitHub, including a Blender-to-Martini camera-faithful handoff. Built by C47 Inc.; Y Combinator Winter 2026.
url: https://raw.githubusercontent.com/api-evangelist/martini/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Paid · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://www.martini.film/marketing/uisample-3.jpg
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-yc-batch: Winter 2026
x-company: C47 Inc.
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Artificial Intelligence
- Video
- Filmmaking
- Generative AI
- Creative Tools
- MCP
- Agents
- Collaboration
- Media Production
tags_raw:
- Company
- Artificial Intelligence
- Video
- Filmmaking
- Generative AI
- Creative Tools
- Model Context Protocol
- Agents
- Collaboration
- Media Production
apis:
- name: Martini MCP Connector
  description: Hosted, OAuth-secured Model Context Protocol server that lets supported AI assistants work inside Martini projects
    using the signed-in user's account permissions — browse projects, canvases, subjects and assets, organize the canvas,
    upload image references, and run approved (user-confirmed) media generation. Streamable HTTP transport.
  humanURL: https://www.martini.film/docs/mcp
  baseURL: https://www.martini.film/mcp
  tags:
  - MCP
  - Agents
  - AI Video
  tags_raw:
  - Model Context Protocol
  - Agents
  - AI Video
  properties:
  - type: MCPServer
    url: mcp/martini-mcp.yml
  - type: Documentation
    url: https://www.martini.film/docs/mcp
  - type: Authentication
    url: authentication/martini-authentication.yml
common:
- type: Plans
  url: plans/martini-plans-pricing.yml
- url: https://www.martini.film/blog
  type: Blog
- type: Website
  url: https://www.martini.film/
- type: Documentation
  url: https://www.martini.film/docs/mcp
- type: APIReference
  url: https://www.martini.film/docs/mcp
- type: Pricing
  url: https://www.martini.film/pricing
- type: SignUp
  url: https://www.martini.film/waitlist
- type: Login
  url: https://www.martini.film/login
- type: Support
  url: https://www.martini.film/support
- type: TermsOfService
  url: https://www.martini.film/terms
- type: PrivacyPolicy
  url: https://www.martini.film/privacy
- type: GitHubOrganization
  url: https://github.com/martini-film
- type: Download
  url: https://www.martini.film/download
- type: MCPServer
  url: mcp/martini-mcp.yml
- type: LLMsTxt
  url: llms/martini-llms.txt
- type: AgentSkill
  url: skills/_index.yml
- type: Authentication
  url: authentication/martini-authentication.yml
- type: Conformance
  url: conformance/martini-conformance.yml
- type: Security
  url: https://www.martini.film/security
- type: VulnerabilityDisclosure
  url: security/martini-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/martini-domain-security.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 11
  pass: local-v1

Martini API — frequently asked questions

Does Martini have an API?

Yes. APIs.io lists 1 API from Martini, including Martini MCP Connector.

How do I authenticate with the Martini API?

Martini documents its authentication (oauth2 · 1 scheme). The details are profiled on APIs.io as Martini Authentication.

How much does the Martini API cost?

Martini publishes its prices; its Pro plan is $30/mo as of 2026-10-07. APIs.io lists 5 pricing plans for Martini, with each plan's price, limits and inclusions under Pricing on this page.

Does Martini have an MCP server?

Yes. APIs.io lists 1 MCP server for Martini: Remote MCP server at www.martini.film over HTTP requiring OAuth; 22 tools listed.

Is the Martini API ready for AI agents?

Martini has a Kin Score of 24.1 out of 100 (emerging) and an Agent Readiness score of 30.9 (agent-ready), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

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get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
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apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
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