ML Junction
Routes one API call to matching models across providers, with fallback, caching, and per-request receipts showing route, cost and privacy policy.
1.2k linking domains
Established
- Price
- Pay per usepricing page, read 2026-10-15
- Activity
- Actively maintainedsite updated 2 days ago
- Company
- founding year not on record
- Runs as
- API
- Used for
- route one API call to a suitable model across providers
- fail over to another model when one fails
- check route, cost and privacy policy for each request
Pay per use
- Trains on your dataNosecurity page ↗
“Training on your data: never. your prompts and outputs are never used to train a model.”
security page ↗
These are ML Junction's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.
- Status pagelinked from the homepagemljunction.com/status ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
Figure and bar: visits/mo, estimate · year: online since
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What is ML Junction?
Routes one API call to matching models across providers, with fallback, caching, and per-request receipts showing route, cost and privacy policy. It is listed in the Atlas under Developer tools.
How much does ML Junction cost?
ML Junction charges per use, per its pricing page on 2026-10-15.
Is ML Junction free?
No. Its pricing page showed no free plan on 2026-10-15.
Do people use ML Junction?
Established.
Is ML Junction still maintained?
Actively maintained: site updated 2 days ago.
Does ML Junction train AI on your data?
No, per its security page (2026-10-15): “Training on your data: never. your prompts and outputs are never used to train a model.”
Is ML Junction safe?
We do not audit vendors. What ML Junction publishes, read 2026-10-15: on training with your data, “Training on your data: never. your prompts and outputs are never used to train a model.”.
What are alternatives to ML Junction?
In Developer tools, by use: Warp, Merge, Caveman, APIMart, CometAPI, APIPod.
Not quite it? Describe the job
betaFive tools from the Atlas that fit it, each judged against what you wrote.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.