Lamina Labs

Lamina Labs is a San Francisco company (Y Combinator Spring 2026) building near-real-time video infrastructure for large language models. Its flagship product, Simi, turns prompts, documents, and AI-generated answers into whiteboard-style teaching videos in seconds, handling script writing, illustration, animation, and narration automatically, for durations from one minute to an hour and in over 80 languages. The company targets training, onboarding, product walkthroughs, sales, marketing, and educational use cases, with the stated goal of making video the default interface for AI communication. Lamina exposes Simi to agents through a public remote MCP server at https://api.laminalabs.ai/mcp, secured by an OAuth 2.1-style authorization server with PKCE, dynamic client registration, and job-scoped access tokens.

Lamina Labs publishes 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Video, Video Generation, and Machine Learning.

Lamina Labs’ developer surface includes documentation, signup flow, support, authentication, and 15 more developer resources.

🌐 Visit website 📡 Source on GitHub

19.7/100 emerging ▬ flat Agent 59/100 agent ready Full breakdown ↓
scored 2026-07-27 · rubric v0.5

AccessSelf serve

1 APIs 1 MCP Servers

CompanyArtificial IntelligenceVideoVideo GenerationMachine LearningEducationMediaModel Context ProtocolContent Generation

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 19.7/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 7.8 / 20

Commercial Clarity 2.6 / 20

Operational Transparency 0.0 / 13

Governance 0.0 / 12

Discoverability 9.3 / 10

Agent readiness — 59/100 · agent ready

Machine-Readable Contract 0 / 18

Agentic Access Contract 15 / 15

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/lamina-labs: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

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

Simi Video Generation API

The Simi API submits and retrieves whiteboard-style explainer video generation jobs. Submission is asynchronous: a job is created and returns immediately with job metadata, then...

MCP Servers 1

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

lamina-labs-mcp.yml

MCP SERVER

Rate Limits 1

Documented rate limits and quota policies.

Scopes 1

OAuth scopes governing access to this provider's APIs.

Lamina Labs Scopes

2 scopes · authorizationCode

2 scopes

SCOPES

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 5

MCP servers, agent skills, and machine-readable catalogs

MCPServer

WellKnown

AgentSkill

AgenticAccess

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

ErrorCatalog

Conventions

Conformance

Lifecycle

DataModel

Build 1

SDKs, sample code, and the tooling you integrate with

Packages

Packages

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

OAuthScopes

OAuthScopes

Operate 2

Status, limits, changes, and where to get help

Support

Support

RateLimits

RateLimits

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: lamina-labs
name: Lamina Labs
description: Lamina Labs is a San Francisco company (Y Combinator Spring 2026) building near-real-time video infrastructure
  for large language models. Its flagship product, Simi, turns prompts, documents, and AI-generated answers into whiteboard-style
  teaching videos in seconds, handling script writing, illustration, animation, and narration automatically, for durations
  from one minute to an hour and in over 80 languages. The company targets training, onboarding, product walkthroughs, sales,
  marketing, and educational use cases, with the stated goal of making video the default interface for AI communication. Lamina
  exposes Simi to agents through a public remote MCP server at https://api.laminalabs.ai/mcp, secured by an OAuth 2.1-style
  authorization server with PKCE, dynamic client registration, and job-scoped access tokens.
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://www.laminalabs.ai/logo.png
url: https://raw.githubusercontent.com/api-evangelist/lamina-labs/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-batch: Spring 2026
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Video
- Video Generation
- Machine Learning
- Education
- Media
- Model Context Protocol
- Content Generation
apis:
- aid: lamina-labs:simi
  name: Simi Video Generation API
  description: 'The Simi API submits and retrieves whiteboard-style explainer video generation jobs. Submission is asynchronous:
    a job is created and returns immediately with job metadata, then the job is polled until playback and download URLs are
    available. The surface is published to agents as a remote Model Context Protocol server, authorized by OAuth with the
    jobs:create and jobs:read scopes.'
  humanURL: https://app.laminalabs.ai/simi
  baseURL: https://api.laminalabs.ai
  tags:
  - Video Generation
  - Artificial Intelligence
  - Model Context Protocol
  - Jobs
  properties:
  - type: MCPServer
    url: mcp/lamina-labs-mcp.yml
  - type: Authentication
    url: authentication/lamina-labs-authentication.yml
  - type: OAuthScopes
    url: scopes/lamina-labs-scopes.yml
  - type: ErrorCatalog
    url: errors/lamina-labs-error-codes.yml
  - type: RateLimits
    url: rate-limits/lamina-labs-rate-limits.yml
  - type: Conventions
    url: conventions/lamina-labs-conventions.yml
  - type: DataModel
    url: data-model/lamina-labs-data-model.yml
common:
- type: DomainSecurity
  url: security/lamina-labs-domain-security.yml
- type: Website
  url: https://www.laminalabs.ai/
- type: Documentation
  url: https://app.laminalabs.ai/simi
- type: SignUp
  url: https://app.laminalabs.ai/simi
- type: Support
  url: https://lamina-labs.cal.com/lamina
- type: MCPServer
  url: mcp/lamina-labs-mcp.yml
- type: Authentication
  url: authentication/lamina-labs-authentication.yml
- type: OAuthScopes
  url: scopes/lamina-labs-scopes.yml
- type: WellKnown
  url: well-known/lamina-labs-well-known.yml
- type: ErrorCatalog
  url: errors/lamina-labs-error-codes.yml
- type: RateLimits
  url: rate-limits/lamina-labs-rate-limits.yml
- type: Conventions
  url: conventions/lamina-labs-conventions.yml
- type: Conformance
  url: conformance/lamina-labs-conformance.yml
- type: Lifecycle
  url: lifecycle/lamina-labs-lifecycle.yml
- type: DataModel
  url: data-model/lamina-labs-data-model.yml
- type: Packages
  url: packages/lamina-labs-packages.yml
- type: AgentSkill
  url: skills/_index.yml
- type: AgenticAccess
  url: agentic-access/lamina-labs-agentic-access.yml
- type: LLMsTxt
  url: llms/lamina-labs-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence