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Aria is Patchline’s AI assistant for the music business. You talk to Aria the same way you talk to a manager, A&R, or label-ops person — and Aria takes action: reads your catalog, queries streaming data, drafts pitches, plans releases, updates project anchors, generates artwork briefs. Aria is one assistant with multiple front doors.

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What Aria does

Plan a release

Turn a track into a 6-week rollout with milestones, launch windows, and next-best-actions.

Analyze a track

Paste any Spotify URL — get BPM, key, mood, danceability, energy, and a ranked list of similar artists.

Find playlists

Rank Spotify playlists by sonic fit plus curator responsiveness for a specific track.

Draft a DSP pitch

Generate a curator-facing pitch grounded in real track metadata, sonic analysis, and artist context.

Parse a royalty PDF

Upload a Distrokid / Tunecore / label PDF — get totals, anomalies, and a forecast in under a minute.

Manage your roster

Add artists by URL. Background artist intelligence populates the profile automatically.

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When to use Aria

Use Aria for the work that lives between tools — the strategy and synthesis that usually means hopping between Spotify for Artists, your DAW, a label spreadsheet, and a notes app.
  • You just finished a track and don’t know what to do next. Paste the file or the link. Aria gives you a release plan grounded in your catalog, your audience, and what’s actually working for artists like you right now.
  • A curator asked for a pitch and you have an hour. “Pitch this track to Mint Friday curators” returns a draft you can edit and send.
  • You want to know if you have momentum. “Summarize my streaming for the last month” pulls the real numbers, not vibes.
  • You’re managing 5 artists and an upcoming release schedule. “What do I owe on Mira’s release this week?” reads the project anchor and returns the shortlist.

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Where Aria lives

Pick whichever fits the workflow you’re already in.
Sign in at patchline.ai. Aria is the home screen at /dashboard. Full surface area: catalog import, project anchors, MCP-backed tools, and file uploads. This is the canonical surface — everything else is a subset.Open the dashboard →
Message @AriaMusicBizBot on Telegram. Paste a Spotify or YouTube link, get a rich track card back. One-tap catalog import, AI pitches, intelligence reports — all without leaving Telegram.Open in Telegram → · Full Telegram guide →
Install the official Patchline plugin and Claude can read your real catalog. Ground every prompt in actual ISRCs, audio features, and streaming data. Plugin includes a “progressive interview” workflow that walks Aria-style release planning inside Claude.Install the Claude plugin →
Patchline exposes its product MCP server at https://www.patchline.ai/api/mcp/v1. OAuth 2.0 with PKCE — your credentials never touch the AI client.Install the MCP server →

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Quick start

1

Sign in

Go to patchline.ai and create a free account. Free tier includes 100 AI credits/month and Aria chat (1 credit per conversation).
2

Connect your music

Paste a Spotify, YouTube, or SoundCloud URL into Aria, or upload an MP3 / WAV / FLAC directly. Aria adds the track to your catalog and runs sonic analysis (BPM, key, mood) automatically.
3

Ask Aria what to do next

Try one of these:
4

(Optional) Add Aria to your AI editor

Install the Claude plugin or the MCP server so the AI tool you already use can read your catalog.

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Prerequisites

  • A free Patchline account (sign up).
  • At least one track in your catalog (uploaded or imported) for tools that reference your catalog. Aria can answer general questions without a catalog, but the answers get much sharper once it has your real data.
  • For the Claude plugin: Claude Desktop or Claude Code.
  • For the MCP server: Cursor, Codex, VS Code, or any MCP-compatible client.

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How Aria works

Aria routes your request to the right Patchline capability: artist intelligence, Scout, pitch writing, royalty review, metrics, Gmail, Legal, Documents, catalog, or release planning. Each capability works against user-scoped Patchline data and connected integrations, then returns a grounded answer. You don’t see the routing — you see one assistant. But it means Aria can do work that simple chatbots can’t: read your royalty PDF, check the artist and catalog context, draft a follow-up email about a discrepancy, and keep the release plan up to date in one conversation. The product MCP at www.patchline.ai/api/mcp/v1 exposes the same core capabilities to external AI clients.
Every tool call is grounded in your data. Aria never invents an ISRC, a streaming number, or a curator name. If the data isn’t there, Aria says so and offers to fetch it.

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Examples

You: here’s my new single, planning to drop in 6 weeks https://open.spotify.com/track/… Aria: Got it. [reads ISRC, runs sonic analysis: 124 BPM, F minor, dreampop-adjacent, high energy 0.62, low valence 0.31]. Closest artists in your roster: Mira, Tessa. Last release in this style hit 18k streams in month one. I drafted a 6-week rollout:
  • Week -6: confirm artwork, write pitch copy
  • Week -4: submit to Spotify editorial via your submission_status: eligible flag
  • Week -2: smart link, pre-save, Telegram teaser
  • Week 0: release day, DMs to the 8 curators who added Mira’s last single
  • Week +2: post-release: TikTok ad targeting the dreampop cluster
Want me to create the project anchor and schedule the tasks?

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Example 2 — Royalty statement triage

You: [uploads quarterly Distrokid PDF] Aria: Parsed. Total: $3,124.07 across 23 tracks. Two anomalies:
  • “Late Bloom” earned $0.00 on Apple Music despite 4,200 streams there last quarter — likely a payment-window cutoff, expect it next statement.
  • “Mira - November” shows on Spotify but is missing from your catalog — want me to import it?

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Example 3 — Multi-tool workflow

You: is there a playlist on Spotify with a curator I could pitch Mira’s new track to, who also added a similar artist recently? Aria: Yes, three:
  • Lush Sounds (78k followers, curator: @lush_sounds_oslo) — added Tessa’s “Sleeper” 11 days ago. Submission status: open.
  • Bedroom Vibes (210k followers, curator: @bedroomvibes) — added four dreampop tracks this month. Submission status: open.
  • Future Female Sounds (190k followers, curator: @futurefemale) — adds quickly, high curator responsiveness score.
Want a pitch draft for the first one?

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Pricing

Every tier includes Aria chat at 1 credit per conversation. Volume scales with credit pool:
TierAI credits / monthPractical Aria use
Free100Try Aria, run a few sonic analyses
Starter ($9.99)1,000Solo artist, daily use
Pro ($29)5,000Small roster, multi-feature
Scale ($99)20,000Label / management, high volume
Enterprise ($249+)UnlimitedLarge catalog, programmatic
See Pricing & plans for the full breakdown.

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FAQ

No. Patchline does not use your catalog, royalty statements, or chat history to train models. Your data is used to ground Aria’s answers in the current conversation only.
Aria runs on hosted frontier AI models combined with Patchline-built tooling. Exact model versions and providers may change as quality, latency, and safety improve. Patchline does not use your catalog, statements, or chat history to train models.
Aria can draft emails through the Gmail integration (requires Gmail OAuth). Direct posting to social media is on the roadmap; for now Aria drafts the copy and you post it.
Aria is grounded in your data. If you ask about a track that isn’t in your catalog or an artist you haven’t added to your roster, Aria will say so and offer to import. This is by design — better a clear “I don’t have that” than a confident-sounding wrong answer.
Yes — for AI agents. Patchline’s product MCP server at www.patchline.ai/api/mcp/v1 exposes the public tool surface. A direct REST API is Enterprise-only today.
Send feedback via the thumbs-down on any chat message. The signal feeds product improvement. We review every thumbs-down weekly.