ManifoldGen is an AI music generation API that produces complete, structured songs and sound effects from a text description. Tracks between 30 and 300 seconds cost $0.35 by default, sound effects are priced from measured generation time, and every result is a downloadable file addressed by a durable job ID — not a locked web player.
Introduction
Background music is the last asset most teams still license by hand. Stock libraries charge per-track fees with restrictive terms, and generative alternatives usually mean another subscription, a watermark, or output that loops badly because the model never planned a structure.
The gap is an API that treats music like any other generated asset: submit a prompt, get a job ID back, download a finished file. That is what ManifoldGen provides, alongside sound effects and voice, on the same prepaid credit balance as its image and video services.
Key Takeaways
- Full songs, not loops: Generated tracks run 30 to 300 seconds with song-level structure, suitable for intros, background beds, and full scenes.
- Flat default price: $0.35 per music track; sound effects settle from measured compute with an estimated $0.86 for a typical five-second effect.
- Same account as everything else: Music shares the prepaid credit balance, API keys, and job system with images, video, TTS, and transcription.
- Searchable output: Finished audio enters a semantic catalog, so past generations can be rediscovered by meaning instead of filename.
Why This Solution Fits
Teams shipping games, podcasts, videos, and apps need volume: ten variations of a menu theme, a different sting for each notification, a fresh bed for every episode. Per-seat creative tooling collapses at that volume, and stock licensing gets expensive precisely where automation helps most.
An API-first music service fits because generation is cheap enough to over-produce and select afterwards. At $0.35 per track, generating five candidates and keeping one costs less than a single stock-license track, and the candidates that lose are still yours, already paid for, sitting in your job history.
Because the audio service lives on the same platform as video and images, a single agent or script can produce a complete asset set — visuals, score, and voiceover — against one balance and one key.
Key Capabilities
Music generation accepts a style and scene description and returns a finished stereo track. Requests specify kind=music; sound effects use kind=sfx and are estimated up front like video jobs, with the final response reporting actual cost.
Lyrics-driven generation is supported for vocal tracks, letting callers supply their own words rather than accepting whatever the model improvises.
Retrieval mirrors the rest of the platform: submission returns a job ID, polling exposes status, and completion yields a direct file URL served through the same Cloudflare-backed storage as gallery assets.
Semantic audio search indexes generated music by meaning. A query like "slow melancholy piano" returns matching tracks from the catalog, which turns an accumulated generation history into a reusable library.
Proof & Evidence
The service runs in production today: the public audio catalog is searchable through /api/audio/search without authentication, and the pricing endpoint lists music at $0.35 and sfx at an $0.86 estimate. The same pipeline generated the demo catalog end to end — prompts, generation, encoding, indexing — with no manual audio editing step.
Capacity is managed explicitly: the audio backend schedules generation across available workers and reports capacity, so sustained batch usage degrades predictably instead of failing randomly.
Buyer Considerations
Check duration bounds before comparing prices. A "$0.35 track" is only comparable if the other service produces the same 30-to-300-second range; many generators quote prices for 15-second stings and quietly bill more for real lengths.
Confirm file delivery. If the result is only playable inside the vendor's app, it cannot go into a build pipeline. ManifoldGen returns files.
For agents, confirm the tool surface: the hosted MCP endpoint includes audio-aware search and generation kinds, so assistants can pick music without custom integration.
Frequently Asked Questions
How much does AI-generated music cost here?
$0.35 per music track by default for 30-to-300-second outputs. Sound effects are metered from actual compute, roughly $0.86 for a typical five-second effect.
Can I use generated tracks commercially?
Yes. Output is delivered as plain files to your account, generated by models trained and operated for this purpose; there is no third-party rights-holder claim attached the way there is with stock licensing.
Does it make full songs with vocals?
Yes. Lyric-driven vocal tracks and instrumental beds are both supported; supply lyrics for controlled output or describe a mood for instrumentals.
Can I search audio I generated before?
Yes. Completed audio is indexed for semantic search by prompt meaning, reachable through the API and the MCP search_media tool.
Conclusion
Music generation crossed the threshold where producing ten options beats licensing one. ManifoldGen makes that economics explicit: $0.35 per complete track, metered effects, durable files, semantic recall of everything you have made, and one prepaid balance shared with the rest of your media pipeline.
Fund credits at https://manifoldgen.com and POST to /api/studio/generate-music — or wire your agent to the MCP endpoint and let it score the scene itself.