Musical AI

Musical AI provides an attribution and rights infrastructure for generative music, enabling rights holders to grant consent and track licensing for AI-generated works. The platform offers a consent layer, attribution metadata, and compliance tools for both rights holders and AI companies, ensuring that generated music respects existing catalogs and industry norms. It operates downstream of generation, focusing on output attribution without exposing model internals.

Musical AI is listed with 1 API on the APIs.io network. Tagged areas include Company, Music, AI, Attribution, and RightsManagement.

The Musical AI catalog on APIs.io includes 1 event-driven AsyncAPI specification, 1 JSON-LD context, and 1 Spectral governance ruleset.

Musical AI’s developer surface includes authentication, changelog, getting-started guide, documentation, API reference, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

34.8/100 thin Agent 39/100 agent ready Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

1 API

Company MusicAIAttributionRightsManagementGenerativeAI

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 34.8/100 · thin

Contract Quality 6.0 / 21

Developer Ergonomics 6.9 / 17

Access Clarity 5.4 / 17

Operational Transparency 3.8 / 11

Contract Governance 2.0 / 10

Discoverability 5.0 / 9

Regulatory Posture 2.9 / 15

Agent readiness — 39/100 · 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 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 6 / 6

Agent Skills 0 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

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):

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
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

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 28.2 — up to +18.0 composite points
Access Clarity scores 31.6 — up to +13.7 composite points
Developer Ergonomics scores 40.5 — up to +11.9 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/musical-ai/apis.yml: open an issue on github.com/api-evangelist/musical-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 →

APIs 1

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

Musical AI API

Musical AI API as documented publicly: 20 operations. Contract generated from the documentation by API Evangelist (2026-10-29); not the provider's own document.

Pricing Plans 1

Published pricing tiers and plan structures.

Musical Ai Plans Pricing

1 plans

PLANS

Event Specifications 1

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

Musical Ai Webhooks

ASYNCAPI

Semantic Vocabularies 1

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

Musical Ai Context

4 classes · 6 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Musical AI API Rules

11 rules · 10 errors 1 info

SPECTRAL

JSON Schema 4

Standalone JSON Schema definitions for this provider's data models.

PostV1BillingBuyRequest

2 properties

JSON SCHEMA

PostV1BillingBuyResponse

3 properties

JSON SCHEMA

PostV1RegistrarDomainsPriceRequest

1 properties

JSON SCHEMA

PostV1RegistrarDomainsSearchRequest

1 properties

JSON SCHEMA

Security Posture 2

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

Musical Ai Authentication

1 scheme

SECURITY

Musical Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

Webhooks

DataModel

Conformance

Access & Security 3

Authentication, authorization, and security posture

Authentication

Authentication

SecurityTxt

SecurityTxt

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Newsroom

Newsroom

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: musical-ai
name: Musical AI
image: https://www.wearemusical.ai/images/og.jpg
description: Musical AI provides an attribution and rights infrastructure for generative music, enabling rights holders to
  grant consent and track licensing for AI-generated works. The platform offers a consent layer, attribution metadata, and
  compliance tools for both rights holders and AI companies, ensuring that generated music respects existing catalogs and
  industry norms. It operates downstream of generation, focusing on output attribution without exposing model internals.
url: https://artifacts.apis.io/musical-ai/apis.yml
x-type: company
x-source: harvest:vc-portfolio
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-29 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-29'
modified: '2026-10-29'
tags:
- Company
- Music
- AI
- Attribution
- RightsManagement
- GenerativeAI
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/musical-ai-plans-pricing.yml
- type: Spectral
  url: rules/musical-ai-rules.yml
- type: JSONLD
  url: json-ld/musical-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/musical-ai-vocabulary.yml
- type: Webhooks
  url: asyncapi/musical-ai-webhooks.yml
- type: DataModel
  url: data-model/musical-ai-data-model.yml
- type: Authentication
  url: authentication/musical-ai-authentication.yml
- type: Conformance
  url: conformance/musical-ai-conformance.yml
- type: SecurityTxt
  url: well-known/musical-ai-vercel-security.txt
- type: WellKnown
  url: well-known/musical-ai-well-known.yml
- type: Hosts
  url: hosts/musical-ai-hosts.yml
- type: Vendors
  url: vendors/musical-ai-vendors.yml
- type: PrivacyPolicy
  url: https://www.wearemusical.ai/privacy
- type: Newsroom
  url: https://www.wearemusical.ai/press
- type: ChangeLog
  url: https://www.wearemusical.ai/press/releases
- type: GettingStarted
  url: https://vercel.com/docs/getting-started-with-vercel.md?from=llms-txt
- type: Documentation
  url: https://dev.wearemusical.ai/
- type: APIReference
  url: https://vercel.com/llms.txt
- type: DomainSecurity
  url: security/musical-ai-domain-security.yml
- type: Website
  url: https://www.wearemusical.ai
apis:
- aid: musical-ai:musical-ai-api
  name: Musical AI API
  description: 'Musical AI API as documented publicly: 20 operations. Contract generated from the documentation by API Evangelist
    (2026-10-29); not the provider''s own document.'
  humanURL: https://vercel.com/openapi.json
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/musical-ai-openapi-generated.yml
    x-provenance: generated
  - type: JSONSchema
    url: json-schema/musical-ai-post-v1-billing-buy-response-schema.json
  - type: JSONSchema
    url: json-schema/musical-ai-post-v1-billing-buy-request-schema.json
  - type: JSONSchema
    url: json-schema/musical-ai-post-v1-registrar-domains-price-request-schema.json
  - type: JSONSchema
    url: json-schema/musical-ai-post-v1-registrar-domains-search-request-schema.json
x-backed-by:
- heavybit
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: Provider site returns a JavaScript shell that cannot be rendered to extract docs.
  evidence:
  - url: https://musical.ai
    status: 200
  checked: '2026-10-29'
x-enrichment:
  date: '2026-10-29'
  status: enriched
  artifacts_added: 24
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Musical AI API — frequently asked questions

Does Musical AI have an API?

Yes. APIs.io lists 1 API from Musical AI, including Musical AI API.

Is there an OpenAPI specification for the Musical AI API?

Yes. APIs.io indexes 1 OpenAPI specification for Musical AI, each linked for download from this page.

How do I authenticate with the Musical AI API?

Musical AI documents its authentication (1 scheme). The details are profiled on APIs.io as Musical Ai Authentication.

How much does the Musical AI API cost?

APIs.io lists 1 pricing plan for Musical AI, with each plan's price, limits and inclusions under Pricing Plans on this page.

Is the Musical AI API ready for AI agents?

Musical AI has a Kin Score of 34.8 out of 100 (thin) and an Agent Readiness score of 38.6 (agent-ready), scored by API Evangelist on 2026-10-31.

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