Everlit

Everlit is a B2B SaaS distribution and engagement platform that converts written content (articles, blog posts, newsletters) into audio, social video, and podcasts, then auto-distributes it. Capabilities include AI text-to-audio with voice cloning across 70+ languages, an embeddable audio player and smart playlists, podcast syndication to Apple Podcasts, Spotify and any RSS 2.0 / Podcast 2.0 app, social video generation in 16:9, 1:1 and 9:16, programmatic audio monetization through Google Ad Manager plus direct sponsorships and house ads, engagement analytics, and CMS integration through a native WordPress plugin or a zero-touch JavaScript embed. Customers include The Texas Tribune, Hearst Newspapers, the San Francisco Chronicle, Advance Local, Shaw Media and Auburn University. Everlit's only publicly reachable machine-readable surfaces are an oEmbed 1.0 resolver, a player-bootstrap JSON endpoint, and llms.txt / llms-full.txt; the REST API it markets for custom CMS integration is undocumented and access-gated through sales.

Everlit publishes 2 APIs on the APIs.io network. Tagged areas include Audio, Video, Social, Podcasts, and Media.

Everlit’s developer surface includes authentication, support, engineering blog, and 17 more developer resources.

🌐 Visit website 📡 Source on GitHub

21.9/100 emerging ▬ flat Agent 8/100 agent aware Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0

AccessApproval

2 APIs

Audio Video Social Podcasts Media Publishers News Text-to-SpeechAI-voiceContent Distribution Monetization Accessibility oEmbedembeddable-playerAdvertising

Kin Score

Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0

Composite quality — 21.9/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 3.2 / 17

Access Clarity 6.0 / 17

Operational Transparency 0.3 / 11

Contract Governance 1.9 / 10

Discoverability 5.5 / 9

Regulatory Posture 4.4 / 15

Agent readiness — 8/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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 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

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) 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/.

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 github.com/api-evangelist/everlit: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 2

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

Everlit oEmbed and Embed Player

The one Everlit surface an agent or a third-party CMS can call today with no credential and no onboarding. GET /oembed resolves an Everlit embed or hosted URL to an oEmbed 1.0 "...

Everlit REST API

Everlit markets a REST API for connecting a custom CMS or platform that has no native integration — "our REST API makes it possible to connect Everlit to any platform" — and its...

Pricing Plans 1

Published pricing tiers and plan structures.

Everlit Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Everlit Rate Limits

0 limits

RATE LIMITS

Security Posture 2

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

Everlit Authentication

4 schemes

SECURITY

Everlit Domain Security

TLSv1.3

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Conformance

DataModel

Components

Lifecycle

Build 2

SDKs, sample code, and the tooling you integrate with

Packages

Packages

GitHubOrganization

GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Compliance

Compliance

Operate 2

Status, limits, changes, and where to get help

RateLimits

RateLimits

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Plans

Plans

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: everlit
name: Everlit
description: Everlit is a B2B SaaS distribution and engagement platform that converts written content (articles, blog posts,
  newsletters) into audio, social video, and podcasts, then auto-distributes it. Capabilities include AI text-to-audio with
  voice cloning across 70+ languages, an embeddable audio player and smart playlists, podcast syndication to Apple Podcasts,
  Spotify and any RSS 2.0 / Podcast 2.0 app, social video generation in 16:9, 1:1 and 9:16, programmatic audio monetization
  through Google Ad Manager plus direct sponsorships and house ads, engagement analytics, and CMS integration through a native
  WordPress plugin or a zero-touch JavaScript embed. Customers include The Texas Tribune, Hearst Newspapers, the San Francisco
  Chronicle, Advance Local, Shaw Media and Auburn University. Everlit's only publicly reachable machine-readable surfaces
  are an oEmbed 1.0 resolver, a player-bootstrap JSON endpoint, and llms.txt / llms-full.txt; the REST API it markets for
  custom CMS integration is undocumented and access-gated through sales.
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: unknown
  onboarding: approval
  trial: false
  try_now: false
  public: false
  label: Requires approval
  confidence: medium
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-09-03'
  method: derived
image: https://everlit.audio/site/images/preview.jpg
url: https://raw.githubusercontent.com/api-evangelist/everlit/refs/heads/main/apis.yml
created: '2026-08-19'
modified: '2026-09-16'
specificationVersion: '0.21'
tags:
- Audio
- Video
- Social
- Podcasts
- Media
- Publishers
- News
- Text-to-Speech
- AI-voice
- Content Distribution
- Monetization
- Accessibility
- oEmbed
- embeddable-player
- Advertising
tags_raw:
- audio
- video
- social
- podcasts
- media
- publishers
- news
- text-to-speech
- AI-voice
- content-distribution
- monetization
- accessibility
- oembed
- embeddable-player
- advertising
apis:
- name: Everlit oEmbed and Embed Player
  description: The one Everlit surface an agent or a third-party CMS can call today with no credential and no onboarding.
    GET /oembed resolves an Everlit embed or hosted URL to an oEmbed 1.0 "rich" record (title, description, publication, CDN
    thumbnail and ready-to-paste iframe markup), and GET /embeds/{track_id}.json returns the player bootstrap record for an
    audio article — title, publication, duration in milliseconds, cover art, share URL and a signed HLS stream URL. Verified
    live on 2026-08-20; unknown ids return a real 404, so the surface is a genuine resolver rather than a catch-all. Everlit
    publishes no OpenAPI, no reference page and no rate limits for it, so this entry is documented from probed responses only.
  humanURL: https://everlit.audio
  tags:
  - oEmbed
  - embeddable-player
  - Audio
  - Podcasts
  - Media
  tags_raw:
  - oembed
  - embeddable-player
  - audio
  - podcasts
  - media
  properties:
  - type: Conventions
    url: conventions/everlit-conventions.yml
  - type: ErrorCatalog
    url: errors/everlit-problem-types.yml
  - type: DataModel
    url: data-model/everlit-data-model.yml
  - type: Components
    url: components/everlit-components.yml
- name: Everlit REST API
  description: 'Everlit markets a REST API for connecting a custom CMS or platform that has no native integration — "our REST
    API makes it possible to connect Everlit to any platform" — and its WordPress plugin is configured with an Everlit API
    key. Nothing about it is published: no developer portal, no reference, no base URL, no header or key format, no scopes,
    no rate limits, no error reference and no machine-readable contract. Access runs through sales at hello@everlit.audio.
    Recorded here because the surface is real and vendor-asserted, not because it is consumable.'
  humanURL: https://everlit.audio/faq
  tags:
  - REST
  - Content Distribution
  - Text-to-Speech
  tags_raw:
  - rest
  - content-distribution
  - text-to-speech
  properties:
  - type: Authentication
    url: authentication/everlit-authentication.yml
  - type: LLMsTxt
    url: https://everlit.audio/llms.txt
maintainers:
- FN: Everlit
  email: hello@everlit.audio
  url: https://everlit.audio
generated:
  by: apis.io/add
  model: claude-opus-4-8
  confidence: 80
  at: '2026-08-19T23:46:51.448Z'
common:
- type: Website
  url: https://everlit.audio
- type: DomainSecurity
  url: security/everlit-domain-security.yml
- type: LLMsTxt
  url: llms/everlit-llms.txt
- type: Authentication
  url: authentication/everlit-authentication.yml
- type: Conventions
  url: conventions/everlit-conventions.yml
- type: ErrorCatalog
  url: errors/everlit-problem-types.yml
- type: Conformance
  url: conformance/everlit-conformance.yml
- type: Compliance
  url: https://everlit.audio/legal/dpa
- type: DataModel
  url: data-model/everlit-data-model.yml
- type: Components
  url: components/everlit-components.yml
- type: Packages
  url: packages/everlit-packages.yml
- type: Lifecycle
  url: lifecycle/everlit-lifecycle.yml
- type: Plans
  url: plans/everlit-plans-pricing.yml
- type: RateLimits
  url: rate-limits/everlit-rate-limits.yml
- type: Support
  url: https://everlit.audio/faq
- type: Blog
  url: https://everlit.audio/dispatches
- type: GitHubOrganization
  url: https://github.com/everlit-audio
- type: Login
  url: https://studio.everlit.audio
- type: TermsOfService
  url: https://everlit.audio/legal/tos
- type: PrivacyPolicy
  url: https://everlit.audio/legal/privacy
x-enrichment:
  date: '2026-08-20'
  status: enriched
  artifacts_added: 14
  pass: local-v1

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