How Pipeless works

The Pipeless API gives you the ability to send data to be mapped to a graph database, and then lets you request specific algorithms to run on that data and returns the results in real-time.

Following an object-relationship-object data structure to submit to our API, we build out an efficient graph database that maps your data connections.
With a selection of out-of-the-box algorithms, we cut out the hassle of getting actionable information from your data, without the complex pipeline.
Using our API, you can request which algorithm you want to run with your mapped graph data, and get back useful results generated in real-time.

What you can do with Pipeless

Pipeless powers both real-time recommendations and activity feeds, with all algorithms using the same graph database.

Recommendations include:

Content Recommendations
Recommended Accounts
Related Accounts
Related Content
Related Topics

Learn more about Recommendations

Activity Feeds include:

Following Feed
Following Action Feed

Learn more about Activity Feeds

Where to start

The Basics

There's a few steps you'll need to take before you can start making use of our algorithms, which you can learn about by walking through the rest of this guide:

Demo Dataset Tutorial

You can also start with our tutorial using a restaurant dataset to get familiar with Pipeless:
Restaurant Dataset Tutorial

The Reference Documentation

You can also jump right into our API Reference docs which go into detail on each of our get, post and delete endpoints:
Read our API Reference docs

Client libraries

You can use any of our example code in this guide and from the reference docs, or you can also utilize our client libraries:
Node Client Library
PHP Client Library

We're here to help!

If you need some help, feel free to reach out to [email protected] or use the Intercom messaging widget on the bottom right of any page.