AudioMuse-AI

AudioMuse-AI is an open‑source, self‑hosted music analysis platform that uses sonic fingerprinting and AI to rediscover forgotten songs, generate intelligent playlists, and visualize music libraries. It integrates with popular self‑hosted media servers such as Navidrome, Jellyfin, LMS, Lyrion, Emby, and Plex, offering features like multi‑server support, clustering, instant playlist generation, music map visualizations, lyric and text search, and audio‑recording based song identification, all without relying on external metadata services.

AudioMuse-AI is listed with 1 API on the APIs.io network. Tagged areas include Music, AI, OpenSource, Self-Hosted, and Playlist.

AudioMuse-AI’s developer surface includes authentication, documentation, getting-started guide, support, and 5 more developer resources.

🌐 Visit website📡 Profile data on GitHub
12.9/100 emerging Agent 8/100 agent aware Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →
1 API
MusicAIOpenSourceSelf-HostedPlaylistAudioAnalysis

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0
Composite quality — 12.9/100 · emerging
Contract Quality 0.0 / 21
Developer Ergonomics 6.5 / 17
Access Clarity 0.0 / 17
Operational Transparency 0.0 / 11
Contract Governance 0.0 / 10
Discoverability 4.6 / 9
Regulatory Posture 2.2 / 15
Agent readiness — 8/100 · agent aware
Machine-Readable Contract 0 / 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 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 0 / 5
Registration Without a Human 0 / 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):
  • Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
  • MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
  • 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
10 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
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/audiomuse/apis.yml: open an issue on github.com/api-evangelist/audiomuse 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.

AudioMuse API

AudioMuse-AI provides a self‑hosted REST API for music analysis and playlist generation.

Pricing Plans 1

Published pricing tiers and plan structures.

Audiomuse Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Audiomuse Rate Limits

0 limits

RATE LIMITS

Security Posture 2

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

Audiomuse Authentication

2 schemes

SECURITY

Audiomuse Domain Security

TLSv1.3 · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Audiomuse Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted
GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

ErrorCatalog
ErrorCatalog

Access & Security 1

Authentication, authorization, and security posture

Authentication
Authentication

Operate 1

Status, limits, changes, and where to get help

Support
Support

Company 1

The organization behind the API

Website
Website

Other 3

Properties that don't map to a standard resource type

Hosts
Hosts
 Vendors
Vendors
 Image
Image

Source (apis.yml)

apis.yml Raw ↑ 
aid: audiomuse
name: AudioMuse-AI
description: AudioMuse-AI is an open‑source, self‑hosted music analysis platform that uses sonic fingerprinting and AI to
  rediscover forgotten songs, generate intelligent playlists, and visualize music libraries. It integrates with popular self‑hosted
  media servers such as Navidrome, Jellyfin, LMS, Lyrion, Emby, and Plex, offering features like multi‑server support, clustering,
  instant playlist generation, music map visualizations, lyric and text search, and audio‑recording based song identification,
  all without relying on external metadata services.
url: https://artifacts.apis.io/audiomuse/apis.yml
x-type: company
x-source: harvest:new-submission
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-28 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-28'
modified: '2026-10-28'
tags:
- Music
- AI
- OpenSource
- Self-Hosted
- Playlist
- AudioAnalysis
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Authentication
  url: authentication/audiomuse-authentication.yml
- type: ErrorCatalog
  url: errors/audiomuse-problem-types.yml
- type: Hosts
  url: hosts/audiomuse-hosts.yml
- type: Vendors
  url: vendors/audiomuse-vendors.yml
- type: Website
  url: https://neptunehub.github.io/AudioMuse-AI/
- type: Documentation
  url: https://neptunehub.github.io/AudioMuse-AI/
- type: GettingStarted
  url: https://neptunehub.github.io/AudioMuse-AI/
- type: Support
  url: https://github.com/NeptuneHub/AudioMuse-AI/issues
- type: Image
  url: https://neptunehub.github.io/AudioMuse-AI/screenshot/AM-AI-MAP.png?raw=true
apis:
- name: AudioMuse API
  description: AudioMuse-AI provides a self‑hosted REST API for music analysis and playlist generation.
  humanURL: https://github.com/NeptuneHub/AudioMuse-AI
  aid: audiomuse:audiomuse-api
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: Provider documentation describes API endpoints but no machine‑readable OpenAPI or other contract is published.
  evidence:
  - url: https://raw.githubusercontent.com/NeptuneHub/AudioMuse-AI/main/docs/AUTH.md
    status: 200
  checked: '2026-10-28'
x-submission-probe: 200, 2026-10-26
x-enrichment:
  date: '2026-10-28'
  status: enriched
  artifacts_added: 16
  pass: modular-v1
  engine: identity=oss,contract=oss,surfaces=oss,docs=oss,regulatory=oss

AudioMuse-AI API — frequently asked questions

Does AudioMuse-AI have an API?

Yes. APIs.io lists 1 API from AudioMuse-AI, including AudioMuse API.

How do I authenticate with the AudioMuse-AI API?

AudioMuse-AI uses bearer-token authentication (2 schemes). The details are profiled on APIs.io as Audiomuse Authentication.

Is the AudioMuse-AI API ready for AI agents?

AudioMuse-AI has a Kin Score of 12.9 out of 100 (emerging) and an Agent Readiness score of 7.9 (agent-aware), scored by API Evangelist on 2026-10-31.

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