Lala

Lala (meetlala.io) is an AI content platform for educators that turns recordings of online classes into publishable social media content. Instructors either host lessons natively on Lala's own video-call product or upload an existing recording by file or link, and Lala automatically curates short-form Reels in Instagram and TikTok aspect ratios, assembles packaged courses, and returns a transcription and summary after each class. It is sold in three tiers -- Free, Pro and Enterprise -- metered on upload minutes, video-call participants and Reels generated per class, and is aimed at tutors, music instructors, teacherpreneurs, schools and universities. Lala is a 500 Global portfolio company that came out of the 500 Georgia program. As of July 2026 Lala publishes no public API, developer portal, SDKs or machine-readable API description.

Lala is profiled on the APIs.io network. Tagged areas include Company, Education, EdTech, Artificial Intelligence, and Video.

Lala’s developer surface includes pricing, signup flow, support, FAQ, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

13.6/100 emerging ▬ flat Agent 0/100 human only Front door AI 2/6 trace saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemium

0 APIs

Company Education EdTech Artificial Intelligence Video Content Generation Social Media Transcription E-Learning

Kin Score

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

Composite quality — 13.6/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.8 / 17

Access Clarity 7.4 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 0.8 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 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 0 / 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

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
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
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

13 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 4.8 — up to +19.0 composite points
Operational Transparency scores 2.6 — up to +12.7 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/lala/apis.yml: open an issue on github.com/api-evangelist/lala 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 →

Lala API pricing

Prices published by Lala, read 2026-10-07 from meetlala.io/#pricing.

Plan	Price
Free	$0/ month Includes: 30 minutes of Video Uploads, 90 minutes Lala Videocall, 4 Video Call Participants, Up to 5 Reels aft
Pro	$30/ month Includes: 300 minutes of Video Uploads, Unlimited Lala Videocall, 50 Video Call Participants, Up to 15 Reels a
Enterprise	$200/ month Includes: 1800 minutes of Video Uploads, Unlimited Lala Videocall, 200 Video Call Participants, Up to 30 Reels

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Lala Plans Pricing

3 plans

PLANS

Security Posture 1

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

Lala Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

SignUp

SignUp

Login

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

FAQ

FAQ

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

Pricing

Pricing

Company 4

The organization behind the API

Website

Website

LinkedIn

Instagram

Instagram

Twitter

Twitter

Source (apis.yml)

aid: lala
name: Lala
description: Lala (meetlala.io) is an AI content platform for educators that turns recordings of online classes into publishable
  social media content. Instructors either host lessons natively on Lala's own video-call product or upload an existing recording
  by file or link, and Lala automatically curates short-form Reels in Instagram and TikTok aspect ratios, assembles packaged
  courses, and returns a transcription and summary after each class. It is sold in three tiers -- Free, Pro and Enterprise
  -- metered on upload minutes, video-call participants and Reels generated per class, and is aimed at tutors, music instructors,
  teacherpreneurs, schools and universities. Lala is a 500 Global portfolio company that came out of the 500 Georgia program.
  As of July 2026 Lala publishes no public API, developer portal, SDKs or machine-readable API description.
url: https://raw.githubusercontent.com/api-evangelist/lala/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: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://meetlala.io/assets/images/og-image.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: no-public-api
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Education
- EdTech
- Artificial Intelligence
- Video
- Content Generation
- Social Media
- Transcription
- E-Learning
tags_raw:
- Company
- Education
- EdTech
- Artificial Intelligence
- Video
- Content Generation
- Social Media
- Transcription
- Online Learning
- Social-Media
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/lala-plans-pricing.yml
- type: Website
  url: https://meetlala.io
- type: Pricing
  url: https://meetlala.io/#pricing
- type: SignUp
  url: https://app.meetlala.io/login
- type: Login
  url: https://app.meetlala.io/login
- type: Support
  url: mailto:info@meetlala.io
- type: FAQ
  url: https://meetlala.io/#faq
- type: GitHubOrganization
  url: https://github.com/meetlala
- type: LinkedIn
  url: https://www.linkedin.com/company/meetlala
- type: Instagram
  url: https://www.instagram.com/meetlala.io
- type: Twitter
  url: https://x.com/meetlala.io
- type: DomainSecurity
  url: security/lala-domain-security.yml
- type: LLMsTxt
  url: llms/lala-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Lala API — frequently asked questions

How much does the Lala API cost?

Lala publishes its prices; its Free plan is $0/ month as of 2026-10-07. APIs.io lists 3 pricing plans for Lala, with each plan's price, limits and inclusions under Pricing on this page.

Is the Lala API ready for AI agents?

Lala has a Kin Score of 13.6 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
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.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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Every operation they expose

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How their score was established

curl "https://apis.io/api/v1/providers/lala/evidence"

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