PyannoteAI

pyannoteAI builds speaker intelligence infrastructure for voice AI: a hosted REST and WebSocket API that answers "who spoke when" (speaker diarization) and "who is speaking" (speaker identification via voiceprints) for both batch audio files and live streams. The company commercializes the widely adopted open-source pyannote.audio library, offering batch diarization, real-time streaming diarization over a WebSocket gateway, voiceprint enrollment and matching, and speech-to-text orchestration that returns speaker-attributed transcripts in a single call. Developers authenticate with a bearer API key, submit asynchronous jobs, and receive results by polling or signed webhooks.

PyannoteAI publishes 5 API contracts indexed on the APIs.io network, including Media API, Streaming API, Jobs API, and 2 more. Tagged areas include Company, Ai Data, Speech Recognition, Speaker Diarization, and Audio.

The PyannoteAI catalog on APIs.io includes 2 event-driven AsyncAPI specifications and 1 Spectral governance ruleset.

PyannoteAI’s developer surface includes documentation, API reference, getting-started guide, authentication, support, engineering blog, pricing, and 29 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

65.7/100 strong ▬ flat Agent 37/100 agent ready Front door AI 4/6 moderate Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 published contract 1 MCP Servers 4 Agent Skills

Company Ai Data Speech Recognition Speaker Diarization Audio Voice AI Machine Learning Transcription Streaming Webhook Real-Time A2A

Kin Score

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

Composite quality — 65.7/100 · strong

Contract Quality 11.0 / 19

Developer Ergonomics 11.8 / 15

Access Clarity 13.0 / 15

Operational Transparency 5.6 / 10

Contract Governance 1.6 / 9

Discoverability 5.6 / 8

Regulatory Posture 4.1 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 37/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 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 6 / 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 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 AI & Biometrics 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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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):

Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)

6 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 58.8 — up to +10.3 composite points
Contract Governance scores 18.2 — up to +9.8 composite points
Operational Transparency scores 57.9 — up to +5.5 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/pyannoteai/apis.yml: open an issue on github.com/api-evangelist/pyannoteai 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
Speech and Voice AI	covered	34.5 (thin)	-	1
Hugging Face Hub Organisations	covered	34.5 (thin)	-	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 4

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.

Agent2Agent

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

Model Context Protocol (MCP)

measured — observed by APIs.io (platform)

Agent Skills

measured — observed by APIs.io (published)

OpenAPI

measured — observed by APIs.io (published)

APIs 5

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

PyannoteAI Media API

The Media API from PyannoteAI — 2 operation(s) for media.

PyannoteAI Streaming API

The Streaming API from PyannoteAI — 2 operation(s) for streaming.

PyannoteAI Jobs API

The Jobs API from PyannoteAI — 2 operation(s) for jobs.

PyannoteAI Operations API

The Operations API from PyannoteAI — 3 operation(s) for operations.

PyannoteAI Test API

The Test API from PyannoteAI — 1 operation(s) for test.

MCP Servers 1

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

pyannoteAI

Remote MCP server at docs.pyannote.ai over HTTP; 3 tools listed.

MCP SERVER

Agent Skills 4

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

pyannoteai-diarize-audio

AGENT SKILL

pyannoteai-identify-speakers

AGENT SKILL

Pyannote

AGENT SKILL

pyannoteai-stream-live-diarization

AGENT SKILL

PyannoteAI API pricing

Prices published by PyannoteAI, read 2026-10-28 from www.pyannote.ai/pricing.

Plan	Price
Developer	€19.00/month Includes: Includes €19 of usage credit /month; 1 workspace seat; Diarization Precision-3 0.112€/h, Community-1
Starter	€99.00/month Includes: Includes €99 of usage credit /month; 3 users per workspace; Diarization Precision-3 0.096€/h, Commun
Enterprise	Custom Includes: Volume-based pricing, On-premise available

Plan details, limits and sources →

Rate limits

: 100 60s
: 300 60s
: 500 60s

Rate-limit details →

Billed by: subscription · FinOps profile →

Pricing Plans 2

Published pricing tiers and plan structures.

Pyannoteai Plans Pricing

3 plans

PLANS

Pyannoteai Price Estimates

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Pyannoteai Rate Limits

3 limits

RATE LIMITS

Service Levels 1

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

PyannoteAI

SLA

FinOps 1

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

Pyannoteai Finops

FINOPS

Event Specifications 2

AsyncAPI definitions for this provider's event-driven and streaming APIs.

pyannoteAI WebSocket Gateway API

Streaming WebSocket gateway for real-time speaker diarization.

ASYNCAPI

Pyannoteai Webhooks

ASYNCAPI

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

PyannoteAI API Rules

55 rules · 52 errors 2 warnings 1 info

SPECTRAL

OpenAPI Overlays 3

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Pyannoteai Api Api Overlay

7 actions · documentation · pyannoteai-api-api-openapi.yml

DERIVED

Pyannoteai Media Api Overlay

3 actions · documentation · pyannoteai-media-api-openapi.yml

DERIVED

Pyannoteai Streaming Api Overlay

3 actions · documentation · pyannoteai-streaming-api-openapi.yml

DERIVED

Security Posture 3

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

Pyannoteai Authentication

http · 1 scheme

SECURITY

Pyannoteai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Pyannoteai Trust Center

HIPAA, GDPR

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

GettingStarted

SignUp

Sandbox

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

MCPServer

AgentSkill

LLMsTxt

WellKnown

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Webhooks

Conventions

ErrorCatalog

Lifecycle

Conformance

DataModel

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 5

Authentication, authorization, and security posture

TrustCenter

DomainSecurity

Authentication

TrustCenter

Compliance

Operate 4

Status, limits, changes, and where to get help

Support

StatusPage

RateLimits

Contact

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Plans

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

Overlay

Overlay

AgentCard

AgentCard

Source (apis.yml)

aid: pyannoteai
name: PyannoteAI
description: 'pyannoteAI builds speaker intelligence infrastructure for voice AI: a hosted REST and WebSocket API that answers
  "who spoke when" (speaker diarization) and "who is speaking" (speaker identification via voiceprints) for both batch audio
  files and live streams. The company commercializes the widely adopted open-source pyannote.audio library, offering batch
  diarization, real-time streaming diarization over a WebSocket gateway, voiceprint enrollment and matching, and speech-to-text
  orchestration that returns speaker-attributed transcripts in a single call. Developers authenticate with a bearer API key,
  submit asynchronous jobs, and receive results by polling or signed webhooks.'
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  - rate-limits
  - security
  - sandbox
  generated: '2026-11-06'
  method: derived
image: https://framerusercontent.com/images/myoVIwP9SQzshWrwvnPNrwVIn8.png
url: https://raw.githubusercontent.com/api-evangelist/pyannoteai/refs/heads/main/apis.yml
x-type: company
x-source: serena-portfolio
specificationVersion: '0.23'
created: '2026-08-17'
modified: '2026-09-16'
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-04
tags:
- Company
- Ai Data
- Speech Recognition
- Speaker Diarization
- Audio
- Voice AI
- Machine Learning
- Transcription
- Streaming
- Webhook
- Real-Time
- A2A
tags_raw:
- Company
- Ai Data
- Speech Recognition
- Speaker Diarization
- Audio
- Voice AI
- Machine Learning
- Transcription
- Streaming
- Webhooks
- Machine-Learning
- Real-Time
- A2A
apis:
- aid: pyannoteai:pyannoteai-media-api
  name: PyannoteAI Media API
  description: The Media API from PyannoteAI — 2 operation(s) for media.
  humanURL: https://docs.pyannote.ai/
  baseURL: https://api.pyannote.ai
  tags:
  - Media
  properties:
  - type: OpenAPI
    url: openapi/pyannoteai-media-api-openapi.yml
  - type: Overlay
    url: overlays/pyannoteai-media-api-overlay.yaml
  - type: AsyncAPI
    url: asyncapi/pyannoteai-streaming-asyncapi.yml
  - type: ToolCrosswalk
    url: mcp/pyannoteai-tool-crosswalk.yml
  - type: Documentation
    url: https://docs.pyannote.ai/
  - type: APIReference
    url: https://docs.pyannote.ai/api-reference/test
- aid: pyannoteai:pyannoteai-streaming-api
  name: PyannoteAI Streaming API
  description: The Streaming API from PyannoteAI — 2 operation(s) for streaming.
  humanURL: https://docs.pyannote.ai/
  baseURL: https://api.pyannote.ai
  tags:
  - Streaming
  properties:
  - type: OpenAPI
    url: openapi/pyannoteai-streaming-api-openapi.yml
  - type: Overlay
    url: overlays/pyannoteai-streaming-api-overlay.yaml
  - type: AsyncAPI
    url: asyncapi/pyannoteai-streaming-asyncapi.yml
  - type: ToolCrosswalk
    url: mcp/pyannoteai-tool-crosswalk.yml
  - type: Documentation
    url: https://docs.pyannote.ai/
  - type: APIReference
    url: https://docs.pyannote.ai/api-reference/test
- aid: pyannoteai:pyannoteai-jobs-api
  name: PyannoteAI Jobs API
  description: The Jobs API from PyannoteAI — 2 operation(s) for jobs.
  humanURL: https://docs.pyannote.ai/
  baseURL: https://api.pyannote.ai
  tags:
  - Job
  tags_raw:
  - Jobs
  properties:
  - type: OpenAPI
    url: openapi/pyannoteai-jobs-api-openapi.yml
  - type: AsyncAPI
    url: asyncapi/pyannoteai-streaming-asyncapi.yml
  - type: ToolCrosswalk
    url: mcp/pyannoteai-tool-crosswalk.yml
  - type: Documentation
    url: https://docs.pyannote.ai/
  - type: APIReference
    url: https://docs.pyannote.ai/api-reference/test
- aid: pyannoteai:pyannoteai-operations-api
  name: PyannoteAI Operations API
  description: The Operations API from PyannoteAI — 3 operation(s) for operations.
  humanURL: https://docs.pyannote.ai/
  baseURL: https://api.pyannote.ai
  tags: []
  tags_raw:
  - Operations
  properties:
  - type: OpenAPI
    url: openapi/pyannoteai-operations-api-openapi.yml
  - type: AsyncAPI
    url: asyncapi/pyannoteai-streaming-asyncapi.yml
  - type: ToolCrosswalk
    url: mcp/pyannoteai-tool-crosswalk.yml
  - type: Documentation
    url: https://docs.pyannote.ai/
  - type: APIReference
    url: https://docs.pyannote.ai/api-reference/test
- aid: pyannoteai:pyannoteai-test-api
  name: PyannoteAI Test API
  description: The Test API from PyannoteAI — 1 operation(s) for test.
  humanURL: https://docs.pyannote.ai/
  baseURL: https://api.pyannote.ai
  tags: []
  tags_raw:
  - Test
  properties:
  - type: OpenAPI
    url: openapi/pyannoteai-test-api-openapi.yml
  - type: AsyncAPI
    url: asyncapi/pyannoteai-streaming-asyncapi.yml
  - type: ToolCrosswalk
    url: mcp/pyannoteai-tool-crosswalk.yml
  - type: Documentation
    url: https://docs.pyannote.ai/
  - type: APIReference
    url: https://docs.pyannote.ai/api-reference/test
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Overlay
  url: overlays/pyannoteai-api-api-overlay.yaml
- type: TrustCenter
  url: security/pyannoteai-trust-center.yml
- type: DomainSecurity
  url: security/pyannoteai-domain-security.yml
- type: Website
  url: https://pyannote.ai/
- type: DeveloperPortal
  url: https://docs.pyannote.ai/
- type: Documentation
  url: https://docs.pyannote.ai/
- type: APIReference
  url: https://docs.pyannote.ai/api-reference/test
- type: GettingStarted
  url: https://docs.pyannote.ai/quickstart
- type: Authentication
  url: authentication/pyannoteai-authentication.yml
- type: Support
  url: https://docs.pyannote.ai/support/faqs
- type: Blog
  url: https://www.pyannote.ai/blog
- type: GitHubOrganization
  url: https://github.com/pyannote
- type: Pricing
  url: https://www.pyannote.ai/pricing
- type: SignUp
  url: https://dashboard.pyannote.ai
- type: TermsOfService
  url: https://pyannote.ai/terms-of-use
- type: PrivacyPolicy
  url: https://pyannote.ai/privacy-policy
- type: StatusPage
  url: https://status.pyannote.ai
- type: TrustCenter
  url: https://trust.pyannote.ai
- type: Compliance
  url: https://trust.pyannote.ai
- type: Sandbox
  url: sandbox/pyannoteai-sandbox.yml
- type: Packages
  url: packages/pyannoteai-packages.yml
- type: SDKs
  url: packages/pyannoteai-packages.yml
- type: MCPServer
  url: mcp/pyannoteai-mcp.yml
- type: AgentCard
  url: a2a/pyannoteai-a2a.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/pyannoteai-llms.txt
- type: WellKnown
  url: well-known/pyannoteai-well-known.yml
- type: Webhooks
  url: asyncapi/pyannoteai-webhooks.yml
- type: Conventions
  url: conventions/pyannoteai-conventions.yml
- type: ErrorCatalog
  url: errors/pyannoteai-problem-types.yml
- type: Lifecycle
  url: lifecycle/pyannoteai-lifecycle.yml
- type: Conformance
  url: conformance/pyannoteai-conformance.yml
- type: DataModel
  url: data-model/pyannoteai-data-model.yml
- type: RateLimits
  url: rate-limits/pyannoteai-rate-limits.yml
- type: Plans
  url: plans/pyannoteai-plans-pricing.yml
- type: Contact
  url: mailto:support@pyannote.ai
x-enrichment:
  date: '2026-09-16'
  status: enriched
  artifacts_added: 10
  pass: local-v3
x-a2a:
  verified: true
  probed: '2026-09-26'
  url: https://docs.pyannote.ai/.well-known/agent-card.json
  grade: conformant
  protocol_version: '0.3'
  control: 404

PyannoteAI API — frequently asked questions

Does PyannoteAI have an API?

Yes. APIs.io lists 5 APIs from PyannoteAI, including PyannoteAI Media API, PyannoteAI Streaming API and PyannoteAI Jobs API, and 2 more.

Is there an OpenAPI specification for the PyannoteAI API?

Yes. APIs.io indexes 5 OpenAPI specifications for PyannoteAI, each linked for download from this page.

How do I authenticate with the PyannoteAI API?

PyannoteAI uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Pyannoteai Authentication.

How much does the PyannoteAI API cost?

PyannoteAI publishes its prices; its Developer plan is €19.00/month as of 2026-10-28. APIs.io lists 3 pricing plans for PyannoteAI, with each plan's price, limits and inclusions under Pricing on this page.

Does PyannoteAI have an MCP server?

Yes. APIs.io lists 1 MCP server for PyannoteAI: Remote MCP server at docs.pyannote.ai over HTTP; 3 tools listed.

Is the PyannoteAI API ready for AI agents?

PyannoteAI has a Kin Score of 65.7 out of 100 (strong) and an Agent Readiness score of 37.4 (agent-ready), scored by API Evangelist on 2026-11-06.

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