Arpeggi Labs

Arpeggi Labs is the company behind Kits AI, a studio-quality AI music and audio platform for musicians, producers, and developers. Kits AI provides voice cloning and conversion, an AI singing generator with 100+ royalty-free artist voice models, vocal isolation, stem separation, AI mastering, and a voice-model blender, alongside an ethically sourced "Earn" program that pays vocalists to license digital clones of their voice. The Kits AI API exposes these capabilities as asynchronous inference jobs over a REST interface at arpeggi.io/api/kits/v1, authenticated with a bearer API key: create a voice conversion, vocal separation, stem split, or voice-blend job, then poll for the signed output file URLs. Arpeggi Labs is an a16z portfolio company; its earlier product was Arpeggi Studio, a web3 in-browser music creation platform.

Arpeggi Labs publishes 5 APIs on the APIs.io network, including Stem Splitter API, Vocal Separation API, Voice Blender API, and 2 more. Tagged areas include Company, Music, Audio, Artificial Intelligence, and Voice.

Arpeggi Labs’ developer surface includes authentication, documentation, API reference, getting-started guide, support, engineering blog, pricing, and 18 more developer resources.

🌐 Visit website 📡 Source on GitHub

48.4/100 developing ▬ flat Agent 31/100 agent aware Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0

AccessSelf serve

5 APIs 1 MCP Servers

CompanyMusicAudioArtificial IntelligenceVoiceMachine-LearningGenerative AIMedia

Kin Score

Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0

Composite quality — 48.4/100 · developing

Contract Quality 14.5 / 25

Developer Ergonomics 11.8 / 20

Access Clarity 8.9 / 20

Operational Transparency 3.1 / 13

Contract Governance 2.0 / 12

Discoverability 8.2 / 10

Agent readiness — 31/100 · agent aware

Machine-Readable Contract 18 / 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 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/arpeggi-labs: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 5

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

MCP Servers 1

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

Arpeggi Labs MCP Server

Candidate MCP server for the Kits AI API. No official hosted/remote MCP server was found published by Arpeggi Labs at enrichment time; this is a derived candidate tool list, one...

MCP SERVER

Rate Limits 1

Documented rate limits and quota policies.

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

AgentSkill

AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

ErrorCatalog

Conventions

Lifecycle

DataModel

Conformance

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 2

Status, limits, changes, and where to get help

Support

Support

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: arpeggi-labs
name: Arpeggi Labs
description: 'Arpeggi Labs is the company behind Kits AI, a studio-quality AI music and audio platform for musicians, producers,
  and developers. Kits AI provides voice cloning and conversion, an AI singing generator with 100+ royalty-free artist voice
  models, vocal isolation, stem separation, AI mastering, and a voice-model blender, alongside an ethically sourced "Earn"
  program that pays vocalists to license digital clones of their voice. The Kits AI API exposes these capabilities as asynchronous
  inference jobs over a REST interface at arpeggi.io/api/kits/v1, authenticated with a bearer API key: create a voice conversion,
  vocal separation, stem split, or voice-blend job, then poll for the signed output file URLs. Arpeggi Labs is an a16z portfolio
  company; its earlier product was Arpeggi Studio, a web3 in-browser music creation platform.'
url: https://raw.githubusercontent.com/api-evangelist/arpeggi-labs/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kits.ai/opengraph-image
x-type: company
x-source: vc-portfolio
x-backed-by:
- a16z
x-tier: profiled
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Music
- Audio
- Artificial Intelligence
- Voice
- Machine-Learning
- Generative AI
- Media
tags_raw:
- Company
- Music
- Audio
- Artificial Intelligence
- Voice
- Machine Learning
- Generative AI
- Media
apis:
- aid: arpeggi-labs:arpeggi-labs-stem-splitter-api
  name: Arpeggi Labs Stem Splitter API
  description: Split an audio track into vocal and instrument stems.
  humanURL: https://docs.kits.ai/api-reference/introduction/getting-started
  baseURL: https://arpeggi.io/api/kits/v1
  tags:
  - Stem Splitter
  properties:
  - type: OpenAPI
    url: openapi/arpeggi-labs-stem-splitter-api-openapi.yml
  - type: Documentation
    url: https://docs.kits.ai
  - type: APIReference
    url: https://docs.kits.ai/api-reference/introduction/getting-started
- aid: arpeggi-labs:arpeggi-labs-vocal-separation-api
  name: Arpeggi Labs Vocal Separation API
  description: Isolate vocals from a mixed audio track.
  humanURL: https://docs.kits.ai/api-reference/introduction/getting-started
  baseURL: https://arpeggi.io/api/kits/v1
  tags:
  - Vocal Separation
  properties:
  - type: OpenAPI
    url: openapi/arpeggi-labs-vocal-separation-api-openapi.yml
  - type: Documentation
    url: https://docs.kits.ai
  - type: APIReference
    url: https://docs.kits.ai/api-reference/introduction/getting-started
- aid: arpeggi-labs:arpeggi-labs-voice-blender-api
  name: Arpeggi Labs Voice Blender API
  description: Blend two to four voice models into a new voice model.
  humanURL: https://docs.kits.ai/api-reference/introduction/getting-started
  baseURL: https://arpeggi.io/api/kits/v1
  tags:
  - Voice Blender
  properties:
  - type: OpenAPI
    url: openapi/arpeggi-labs-voice-blender-api-openapi.yml
  - type: Documentation
    url: https://docs.kits.ai
  - type: APIReference
    url: https://docs.kits.ai/api-reference/introduction/getting-started
- aid: arpeggi-labs:arpeggi-labs-voice-conversion-api
  name: Arpeggi Labs Voice Conversion API
  description: Convert an input performance to a target voice model.
  humanURL: https://docs.kits.ai/api-reference/introduction/getting-started
  baseURL: https://arpeggi.io/api/kits/v1
  tags:
  - Voice Conversion
  properties:
  - type: OpenAPI
    url: openapi/arpeggi-labs-voice-conversion-api-openapi.yml
  - type: Documentation
    url: https://docs.kits.ai
  - type: APIReference
    url: https://docs.kits.ai/api-reference/introduction/getting-started
- aid: arpeggi-labs:arpeggi-labs-voice-models-api
  name: Arpeggi Labs Voice Models API
  description: Browse and retrieve available voice models.
  humanURL: https://docs.kits.ai/api-reference/introduction/getting-started
  baseURL: https://arpeggi.io/api/kits/v1
  tags:
  - Voice Models
  properties:
  - type: OpenAPI
    url: openapi/arpeggi-labs-voice-models-api-openapi.yml
  - type: Documentation
    url: https://docs.kits.ai
  - type: APIReference
    url: https://docs.kits.ai/api-reference/introduction/getting-started
common:
- type: Overlay
  url: overlays/arpeggi-labs-kits-overlay.yaml
- type: DomainSecurity
  url: security/arpeggi-labs-domain-security.yml
- type: Authentication
  url: authentication/arpeggi-labs-authentication.yml
- type: Website
  url: https://kits.ai
- type: DeveloperPortal
  url: https://app.kits.ai
- type: Documentation
  url: https://docs.kits.ai
- type: APIReference
  url: https://docs.kits.ai/api-reference/introduction/getting-started
- type: GettingStarted
  url: https://docs.kits.ai/api-reference/introduction/quick-start
- type: Support
  url: https://help.kits.ai/
- type: Blog
  url: https://www.kits.ai/blog
- type: GitHubOrganization
  url: https://github.com/arpeggi-labs
- type: Pricing
  url: https://app.kits.ai/subscriptions
- type: SignUp
  url: https://app.kits.ai
- type: TermsOfService
  url: https://www.kits.ai/terms-of-service
- type: PrivacyPolicy
  url: https://www.kits.ai/privacy-policy
- type: LLMsTxt
  url: llms/arpeggi-labs-llms.txt
- type: RateLimits
  url: rate-limits/arpeggi-labs-rate-limits.yml
- type: ErrorCatalog
  url: errors/arpeggi-labs-problem-types.yml
- type: Conventions
  url: conventions/arpeggi-labs-conventions.yml
- type: Lifecycle
  url: lifecycle/arpeggi-labs-lifecycle.yml
- type: DataModel
  url: data-model/arpeggi-labs-data-model.yml
- type: Conformance
  url: conformance/arpeggi-labs-conformance.yml
- type: MCPServer
  url: mcp/arpeggi-labs-mcp.yml
- type: Packages
  url: packages/arpeggi-labs-packages.yml
- type: AgentSkill
  url: skills/_index.yml
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

Arpeggi Labs

Kin Score

APIs 5

Arpeggi Labs Stem Splitter API

Arpeggi Labs Vocal Separation API

Arpeggi Labs Voice Blender API

Arpeggi Labs Voice Conversion API

Arpeggi Labs Voice Models API

Open Collections 6

API Collection

Kits AI Stem Splitter API

Kits AI Stem Splitter Vocal Separation API

Kits AI Stem Splitter Voice Blender API

Kits AI Stem Splitter Voice Conversion API

Kits AI Stem Splitter Voice Models API