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.
Pipeless powers both real-time recommendations and activity feeds, with all algorithms using the same graph database.
- Content Recommendations
- Recommended Accounts
- Related Accounts
- Related Content
- Related Topics
- Following Feed
- Following Action Feed
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:
You can also start with our tutorial using a restaurant dataset to get familiar with Pipeless:
Restaurant Dataset Tutorial
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
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.
Updated about a year ago