Introducing the AdeptID API
We’re thrilled to announce the “launch” of AdeptID’s public API, which is both a big milestone for us (our first “Product”) and an incredibly small step toward where we want to go.
A huge problem…
We started AdeptID last year because we think economic mobility for people without college degrees is unacceptably broken.
Part of this challenge is a matching problem – people with plenty of hidden talent and transferable skills aren’t properly connected to jobs and training where they would have a great impact and expand their opportunities.
“Talent Matching as a Service”
The middle-skilled talent space needs a matching service that learns from all of its players. This service would allow each user to benefit from a much wider perspective than if they were stuck to their own view.
Of course, the service needs to be lightweight and versatile, without insisting on front-end “real estate” of its own, so that it can play nicely with a range of offerings.
With a few lines of code, you can now receive predictions and analysis from AdeptID’s recommendation engine, which has brought together multiple skills taxonomies and leverages 100,000s of real observed job transitions.
Because our models are built to serve the segment of the workforce without college degrees, a still nascent user base on most current talent applications, building with our API also means expanding your product reach to new, untapped user segments.
Questions our API can answer
“What is the potential talent pool (based on skills transferability) for a given in-demand job within a given geography?”
We put a ton of work into making our Documentation Center as readable and informative as possible (for developers and n00bs alike).
There, you can:
Note: The endpoints listed in our public-facing documentation today represent a subset of those available from AdeptID. If you are interested in the full list of endpoints in private use or in development, please contact [email protected].
The long road ahead!
While better matching can, by no means, “fix” job mobility on its own, we’re convinced that our recommendation engine can serve as a transformational enabler if we make it easy to use and we find the right partners. We’re off to a great start with mission-aligned folks like Year Up, Enel, JFF, and others.
We really do want to work with everyone, so please reach out if you have questions, feedback, or ideas for how our product can serve you best.