Otter.ai

Otter.ai is an AI-powered meeting transcription and conversational intelligence platform that automatically records, transcribes, and summarizes meetings across Zoom, Google Meet, Microsoft Teams, and other video conferencing services. The platform provides a REST API for Enterprise customers to programmatically retrieve speech-to-text transcripts, speaker-identified conversation segments, and AI-generated meeting summaries. Developers can upload audio files, retrieve processed transcripts via webhooks, and integrate meeting intelligence into their own applications using bearer token authentication. Otter.ai also offers an MCP Server integration enabling AI assistants like Claude and ChatGPT to query meeting knowledge directly.

Otter.ai is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Transcription, Meeting Notes, Speech-to-Text, and Speaker Identification.

The Otter.ai catalog on APIs.io includes 1 JSON-LD context.

Otter.ai’s developer surface includes documentation, engineering blog, pricing, and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

17.4/100 emerging ▬ flat Agent 15/100 agent aware Front door AI 6/6 dominant Heartbeat 0/100 dormant saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreemium

1 API 1 MCP Servers

Artificial Intelligence Transcription Meeting Notes Speech-to-TextSpeaker IdentificationMeeting Intelligence Summary

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 17.4/100 · emerging

Contract Quality 2.3 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 3.6 / 17

Operational Transparency 3.4 / 11

Contract Governance 0.0 / 10

Discoverability 5.8 / 9

Regulatory Posture 1.4 / 15

Agent readiness — 15/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 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 5 / 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 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/.

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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 Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
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) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →

10 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 10.7 — up to +22.3 composite points Ask about this →
Developer Ergonomics scores 2.4 — up to +19.5 composite points Ask about this →
Access Clarity scores 21.3 — up to +15.7 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/otter-ai/apis.yml: open an issue on github.com/api-evangelist/otter-ai 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
Zoom App Marketplace and Partner Ecosystem (builders and partners on Zoom)	builds-on	46.5	-	1
TX-RAMP Certified Cloud Products (Texas DIR)	builds-on	46.5	-	1

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 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)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

APIs 1

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

Otter.ai API

The Otter.ai REST API enables Enterprise customers to programmatically upload audio and video files for transcription, retrieve speaker-identified transcripts, receive webhook n...

MCP Servers 1

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

Otter.ai MCP Server

Remote MCP server at mcp.otter.ai over HTTP.

MCP SERVER

Otter.ai API pricing

Not yet checked against Otter.ai's own pricing page. Compiled by API Evangelist; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Basic	Free
Pro	$16.99
Business	$30.0 per user
Enterprise	—

Plan details, limits and sources →

Rate limits

Basic Plan Transcription Limit: 300

Compiled by API Evangelist, not yet checked against Otter.ai's documentation. All 9 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Otter.ai Plans Pricing

4 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Otter.ai Rate Limits

9 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Otter.ai

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Otter.ai Finops

FINOPS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Otter Ai Context

14 classes · 0 properties

JSON-LD

Security Posture 2

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

Otter.ai Domain Security

TLSv1.2 · DMARC

SECURITY

Otter.ai Trust Center

SOC 2, HIPAA, GDPR

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

JSONLDContext

JSONLDContext

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrg

GitHubOrg

Access & Security 2

Authentication, authorization, and security posture

TrustCenter

TrustCenter

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

StatusPage

StatusPage

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

Plans

Plans

FinOps

FinOps

Company 4

The organization behind the API

Website

Website

LinkedIn

Blog

Blog

BlogPosts

BlogPosts

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

aid: otter-ai
name: Otter.ai
description: Otter.ai is an AI-powered meeting transcription and conversational intelligence platform that automatically records,
  transcribes, and summarizes meetings across Zoom, Google Meet, Microsoft Teams, and other video conferencing services. The
  platform provides a REST API for Enterprise customers to programmatically retrieve speech-to-text transcripts, speaker-identified
  conversation segments, and AI-generated meeting summaries. Developers can upload audio files, retrieve processed transcripts
  via webhooks, and integrate meeting intelligence into their own applications using bearer token authentication. Otter.ai
  also offers an MCP Server integration enabling AI assistants like Claude and ChatGPT to query meeting knowledge directly.
type: Index
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: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/otter-ai.png
url: https://raw.githubusercontent.com/api-evangelist/otter-ai/refs/heads/main/apis.yml
created: '2026-06-13'
modified: '2026-06-13'
specificationVersion: '0.23'
tags:
- Artificial Intelligence
- Transcription
- Meeting Notes
- Speech-to-Text
- Speaker Identification
- Meeting Intelligence
- Summary
tags_raw:
- AI
- Transcription
- Meeting Notes
- Speech-to-Text
- Speaker Identification
- Meeting Intelligence
- Summaries
apis:
- aid: otter-ai:otter-ai-api
  name: Otter.ai API
  description: The Otter.ai REST API enables Enterprise customers to programmatically upload audio and video files for transcription,
    retrieve speaker-identified transcripts, receive webhook notifications when speech processing completes, and integrate
    meeting intelligence into custom applications. The API uses bearer token authentication and supports Python, Node.js,
    and Java client libraries.
  humanURL: https://otter.ai/api/docs/
  baseURL: https://api.otter.ai
  tags:
  - Transcription
  - Meeting Notes
  - Speech-to-Text
  - Speaker Identification
  - Webhook
  tags_raw:
  - Transcription
  - Meeting Notes
  - Speech-to-Text
  - Speaker Identification
  - Webhooks
  properties:
  - type: Documentation
    url: https://otter.ai/api/docs/
  - type: Plans
    url: https://raw.githubusercontent.com/api-evangelist/otter-ai/refs/heads/main/plans/otter-ai-plans-pricing.yml
  - type: RateLimits
    url: https://raw.githubusercontent.com/api-evangelist/otter-ai/refs/heads/main/rate-limits/otter-ai-rate-limits.yml
  - type: FinOps
    url: https://raw.githubusercontent.com/api-evangelist/otter-ai/refs/heads/main/finops/otter-ai-finops.yml
common:
- type: TrustCenter
  url: security/otter-ai-trust-center.yml
- type: DomainSecurity
  url: security/otter-ai-domain-security.yml
- type: Website
  url: https://otter.ai
- type: Documentation
  url: https://otter.ai/api/docs/
- type: GitHubOrg
  url: https://github.com/otter-framework
- type: LinkedIn
  url: https://www.linkedin.com/company/otter-ai
- type: Blog
  url: https://otter.ai/blog
- type: Pricing
  url: https://otter.ai/pricing
- type: StatusPage
  url: https://status.otter.ai/
- type: X
  url: https://x.com/otter_ai
- type: Plans
  url: plans/otter-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/otter-ai-rate-limits.yml
- type: FinOps
  url: finops/otter-ai-finops.yml
- type: BlogPosts
  url: https://raw.githubusercontent.com/api-evangelist/otter-ai/refs/heads/main/blogs/blogs.json
- type: JSONLDContext
  url: https://raw.githubusercontent.com/api-evangelist/otter-ai/refs/heads/main/json-ld/otter-ai-context.jsonld
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Otter.ai API — frequently asked questions

Does Otter.ai have an API?

Yes. APIs.io lists 1 API from Otter.ai, including Otter.ai API.

How much does the Otter.ai API cost?

APIs.io lists 4 pricing plans for Otter.ai, with each plan's price, limits and inclusions under Pricing on this page.

Does Otter.ai have an MCP server?

Yes. APIs.io lists 1 MCP server for Otter.ai: Remote MCP server at mcp.otter.ai over HTTP.

Is the Otter.ai API ready for AI agents?

Otter.ai has a Kin Score of 17.4 out of 100 (emerging) and an Agent Readiness score of 14.7 (agent-aware), scored by API Evangelist on 2026-11-13.

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MCP server

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

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