Documentation
Build against the recommendation API
API references, SDK quickstarts, and architecture guides. Everything needed to get from an empty catalogue to ranked results, in the order you will need it.
Read the docs
Go straight to the hosted documentation for implementation guides, endpoints, and SDK setup.
Open docsOpen the console
Create credentials, check request activity, and inspect tenant configuration from the control plane.
Open consolePlan the rollout
Talk through catalog shape, event coverage, placements, and the fastest path to a working pilot.
Contact teamCore references
Start with the path closest to your integration, then move into console setup when the first request is ready.
Quickstart
Install the SDK, authenticate, and publish your first recommendation widget in minutes.
API reference
Review endpoints for ingestion, ranking, and analytics to integrate with your data pipelines.
Authentication
Create credentials, rotate keys, and keep tenant access scoped before traffic reaches production.
SDKs
Use client and server SDKs to stream events, request ranked items, and validate integration behaviour.
New to the category? What a recommendation engine API is covers the endpoints, the data contract and what to check before integrating, and recommendation engines covers the approaches behind them. For evidence rather than description, the NSL Recommender Leaderboard measures complete recommender systems on ten public datasets.
Need something custom? Contact our team to tailor an integration plan. For the commerce discovery context behind these integration patterns, read AI shopping assistants and ecommerce product discovery.