Arpeggi Labs website screenshot

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 17 more developer resources.

50.4/100 developing ▬ flat Agent 58/100 agent ready Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
5 APIs 1 MCP Servers
CompanyMusicAudioArtificial IntelligenceVoiceMachine LearningGenerative AIMedia

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 50.4/100 · developing
Contract Quality 14.6 / 25
Developer Ergonomics 13.5 / 20
Commercial Clarity 8.9 / 20
Operational Transparency 3.4 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 58/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
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 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
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.

Arpeggi Labs Stem Splitter API

Split an audio track into vocal and instrument stems.

Arpeggi Labs Vocal Separation API

Isolate vocals from a mixed audio track.

Arpeggi Labs Voice Blender API

Blend two to four voice models into a new voice model.

Arpeggi Labs Voice Conversion API

Convert an input performance to a target voice model.

Arpeggi Labs Voice Models API

Browse and retrieve available voice models.

MCP Servers 1

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

Rate Limits 1

Documented rate limits and quota policies.

Arpeggi Labs Rate Limits

2 limits

RATE LIMITS

Security Posture 2

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

Arpeggi Labs Authentication

http · 1 scheme

SECURITY

Arpeggi Labs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
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: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- 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: 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