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 is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Video, Video Generation, and Machine Learning.

Lamina Labs’ developer surface includes pricing, documentation, signup flow, support, authentication, and 16 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

24.4/100 emerging ▬ flat Agent 32/100 agent ready Front door AI 4/6 moderate saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaidSelf serve

1 API 1 MCP Servers 1 Agent Skills

Company Artificial Intelligence Video Video Generation Machine Learning Education Media MCP Content Generation

Kin Score

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

Composite quality — 24.4/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 3.1 / 17

Access Clarity 6.3 / 17

Operational Transparency 2.3 / 11

Contract Governance 1.9 / 10

Discoverability 6.4 / 9

Regulatory Posture 3.7 / 15

Agent readiness — 32/100 · agent ready

Machine-Readable Contract 0 / 18

Agentic Access Contract 10 / 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 0 / 7

Rate-Limit Signaling 7 / 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 0 / 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 Education & Research 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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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too

5 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
Developer Ergonomics scores 18.5 — up to +16.3 composite points
Access Clarity scores 36.8 — up to +12.6 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/lamina-labs/apis.yml: open an issue on github.com/api-evangelist/lamina-labs 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 2

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)

Dynamic Client Registration

measured — observed by APIs.io (published)

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 Server

Remote MCP server at api.laminalabs.ai over HTTP; 2 tools listed.

MCP SERVER

Agent Skills 1

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

Generate a Simi explainer video

AGENT SKILL

Lamina Labs API pricing

Prices published by Lamina Labs, read 2026-10-07 from www.laminalabs.ai/.

Plan	Price
Plus	$19.99/month Includes: 6,000 credits
Pro	$49.99/month Includes: 18,000 credits
Max	$99.99/month Includes: 45,000 credits
Business	Talk to us Includes: branding, custom voice, API, volume pricing, longer videos and higher limits

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Lamina Labs Plans Pricing

4 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Lamina Labs Rate Limits

1 limits

RATE LIMITS

Security Posture 2

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

Lamina Labs Authentication

oauth2 · 1 scheme

SECURITY

Lamina Labs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Lamina Labs Scopes

2 scopes · authorizationCode

2 scopes

SCOPES

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Lamina Labs Agentic Access

2 operations · 1 acting

AGENTIC

Resources

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

Commercial 2

Pricing, plans, and the legal terms of use

Pricing

Pricing

Plans

Plans

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.
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: high
  source:
  - plans
  - authentication
  - scopes
  - rate-limits
  - security
  generated: '2026-11-06'
  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: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Video
- Video Generation
- Machine Learning
- Education
- Media
- MCP
- Content Generation
tags_raw:
- Company
- Artificial Intelligence
- Video
- Video Generation
- Machine Learning
- Education
- Media
- Model Context Protocol
- Content Generation
- Machine-Learning
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
  - MCP
  - Job
  tags_raw:
  - 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: Pricing
  url: https://www.laminalabs.ai/
- type: Plans
  url: plans/lamina-labs-plans-pricing.yml
- 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

Lamina Labs API — frequently asked questions

Does Lamina Labs have an API?

Yes. APIs.io lists 1 API from Lamina Labs, including Simi Video Generation API.

How do I authenticate with the Lamina Labs API?

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

How much does the Lamina Labs API cost?

Lamina Labs publishes its prices; its Plus plan is $19.99/month as of 2026-10-07. APIs.io lists 4 pricing plans for Lamina Labs, with each plan's price, limits and inclusions under Pricing on this page.

Does Lamina Labs have an MCP server?

Yes. APIs.io lists 1 MCP server for Lamina Labs: Remote MCP server at api.laminalabs.ai over HTTP; 2 tools listed.

Is the Lamina Labs API ready for AI agents?

Lamina Labs has a Kin Score of 24.4 out of 100 (emerging) and an Agent Readiness score of 31.8 (agent-ready), scored by API Evangelist on 2026-11-06.

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