FreqBlog Music Metadata

{
  "id": "aix_1e8f25dbb4",
  "name": "FreqBlog Music Metadata",
  "operator": "(unclaimed - source: registry-official · publisher: com.freqblog)",
  "description": "Audio features + harmonic set-building for tracks by name/ISRC. Spotify audio-features replacement.",
  "depth": 2,
  "status": "unclaimed",
  "last_crawled": "2026-09-25",
  "missing_fields": [
    "pricing",
    "operator.identity"
  ],
  "skills": [
    "streaming-tools"
  ],
  "protocols": {
    "mcp": "https://mcp.freqblog.com/mcp",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": {
    "tasks_completed": null,
    "dispute_rate": null,
    "p95_latency_ms": 1340,
    "uptime_30d": 1,
    "onchain_volume_30d_usd": null
  },
  "aix_score": 54,
  "verification": {
    "identity": "none",
    "health": "probe/24h",
    "pricing": "unknown",
    "last_check": "2026-09-25T06:01:39.560Z"
  },
  "pricing_model": "unknown",
  "profile": {
    "mcp_server": "freqblog-music",
    "mcp_version": "1.27.2",
    "tool_count": 12,
    "tools": [
      {
        "name": "get_audio_features",
        "description": "Get audio features for ONE track — BPM, musical key (name + Camelot + Open Key),\n    energy, danceability, valence, acousticness, instrumentalness, liveness, speechiness,\n    loudness, mood, mood_vector, genre, time signature, duration and more.\n\n    This is the drop-in replacement for Spotify's deprecated /audio-features endpoint.\n    Provide AT LEAST ONE identifier — if you know several, send them all rather than\n    choosing; they resolve by precedence (`track` > `isrc` > `mbid` > `spotify_id`) and\n    the rest are ignored:\n      - `track` (optionally with `artist`) — e.g. track=\"Blinding L"
      },
      {
        "name": "get_audio_features_batch",
        "description": "Get audio features for MANY tracks in one call (up to 50 processed) — ideal for\n    analysing a whole playlist at once. Identify each item by name (`track`/`artist`), by\n    `isrc` (matched exactly first — best for CJK / K-pop / niche tracks whose fuzzy\n    name-match misses), or both (ISRC first, name as the fallback).\n\n    One bad entry never fails the batch. Items beyond the 50-per-call cap come back with\n    `found: false` and `backfill_status: \"over_limit\"`; an item missing BOTH `track` and\n    `isrc` comes back `\"invalid_no_query\"`. Neither is processed or charged — the response's\n    `s"
      },
      {
        "name": "search_catalog",
        "description": "Full-text search the catalog by any mix of track / artist / album tokens. Use this to\n    resolve a fuzzy, partial, or misspelled name into concrete tracks BEFORE calling\n    get_audio_features.\n\n    Each hit carries `chart_peak`: the best chart position we hold, 1-100 with 100 = a\n    number-one. `null` means no placement we hold — treat that as UNKNOWN, not unpopular,\n    and note it is NOT an audience-size figure. Coverage is Billboard year-end only so far.\n\n    Returns lightweight stubs (itunes_track_id, track_name, artist_name, album, etc.) ranked\n    by relevance — NOT audio features. Ta"
      },
      {
        "name": "find_tracks_by_bpm",
        "description": "Find catalog tracks near a target tempo. Returns tracks whose BPM is within\n    +/-`tolerance` of `bpm`, ordered by closeness then by an internal catalogue ordering key (not an audience metric) — useful for DJ set\n    planning, workout playlists, or tempo-matching. Each returned track carries full audio\n    features. To also constrain by musical key, combine with find_tracks_by_key.\n    "
      },
      {
        "name": "find_tracks_by_key",
        "description": "Find catalog tracks in a given musical key — for harmonic mixing and key-locked\n    playlists. `key` accepts Camelot (\"8A\"), Open Key (\"1m\"), or a key name (\"A-Minor\",\n    \"F#-Major\"). Returns tracks ordered by an internal catalogue ordering key (not an audience metric), each with full audio features. To\n    discover which keys mix well with a given key first, use find_compatible_keys.\n    "
      },
      {
        "name": "find_compatible_keys",
        "description": "Given a Camelot key (e.g. \"8A\", \"12B\"), return the harmonically compatible keys for DJ\n    mixing — the same key, the relative major/minor, and the adjacent +/-1 keys on the\n    Camelot wheel. With `extended=true` also returns the +7/-7 energy-boost / energy-drop\n    keys. Pure music theory — no catalog lookup and no quota cost. Pair with find_tracks_by_key\n    to then pull actual tracks in each compatible key.\n    "
      },
      {
        "name": "score_transition",
        "description": "Score how well one catalog track mixes into another (0-100) — the pairwise DJ transition\n    score no raw key/BPM API gives you. Combines Camelot-wheel key compatibility, octave-aware\n    BPM proximity (half/double-time counts as a match), and energy smoothness.\n\n    Returns the overall `score`, per-component scores (`harmonic`/`tempo`/`energy`), a `detail`\n    block (key_relation, both Camelot keys, both BPMs, bpm_delta, bpm_octave_matched, both\n    energies, energy_delta), and a one-line human `reason` (e.g. \"8A->9A adjacent (+1), 126->128\n    BPM (+2), energy +0.04 — clean uplifting mix\"). "
      },
      {
        "name": "suggest_next_track",
        "description": "Given a seed track, return the top-N catalog tracks to play NEXT, ranked by transition\n    score. Each suggestion carries the same `score`, per-component scores and human `reason` as\n    score_transition (e.g. \"11B->11B same key, 118->117 BPM (-0.29), energy +0.12\"), plus its\n    `genre` and `genre_relation` to the seed. GENRE-AWARE by default (cross_genre=auto): off-genre\n    picks that only coincidentally share the seed's key/BPM sink to the bottom — use\n    cross_genre=strict for same-genre-family only, or allow for the old harmonic-only ranking. It\n    is the seed's sonic neighbours re-ran"
      },
      {
        "name": "build_setlist",
        "description": "Order a crate of 2-100 catalog tracks into a beat-matched DJ set that follows an energy\n    arc, keeping each consecutive transition harmonically and tempo-smooth. `arc` is one of\n    peak_time (default — builds to a peak then eases), warmup, cooldown, or flat.\n\n    Returns the `arc`, `count`, an overall `flow_score` (0-100), the `tracks` in play order, the\n    per-step `transitions` ({from_index, to_index, score, reason}), and `omitted` (ids not found\n    in the catalog). Feed tracks[].itunes_track_id into a Rekordbox/Serato export to drop the set\n    straight into your DJ software. track_ids"
      },
      {
        "name": "get_recommendations",
        "description": "Recommended tracks for one or more seed tracks — the drop-in for Spotify's removed\n    GET /v1/recommendations. Blends up to 5 catalog seed tracks into a single point in\n    audio-feature space and returns the nearest catalogue tracks, RE-RANKED by genre affinity\n    (so a feature-close cross-genre track doesn't outrank same-genre picks).\n\n    Returns `seeds` (each {id, found}), `count`, and `tracks` (each {track, score,\n    genre_relation}; each track carries its `genre`). `genre_relation` is \"same\", \"compatible\"\n    (different but mixable family), \"cross\" (unrelated), or \"unknown\" (either si"
      },
      {
        "name": "get_related_artists",
        "description": "Artists related to a seed artist — the drop-in for Spotify's removed\n    GET /v1/artists/{id}/related-artists. No artist graph exists, so we derive one: build the\n    seed artist's track-vector centroid, take its nearest catalogue tracks, aggregate by artist\n    (each scored on its top-3 track similarities so a prolific artist can't dominate) plus a\n    same-genre lift and a cross-genre penalty.\n\n    Returns `artist`, `count`, and `related` (each {artist_name, score, match_count,\n    sample_track_id}). Pass a sample_track_id straight to get_audio_features or\n    suggest_next_track. Costs 2 quo"
      },
      {
        "name": "tag_track",
        "description": "Get a compact, HONESTLY-LABELLED tag list for a track — energy / danceability / valence /\n    acousticness / instrumentalness, plus a mood tag and a broad genre tag. It is a tag-shaped\n    projection of the same open-data analysis get_audio_features returns (no audio upload, no extra\n    compute), so it costs the same 1 quota unit, charged only on a served result.\n\n    The differentiator vs opaque taggers (e.g. Cyanite) is that EVERY tag carries its own\n    `confidence` and `provenance`:\n      - confidence: measured (our Essentia analysis) | derived (MIREX mood from valence+energy) |\n        m"
      }
    ],
    "profiled_at": "2026-09-25T06:01:39.560Z"
  },
  "unreachable": false
}