Headless Commerce Integration
Begin your headless commerce journey with a better product discovery experience
You can integrate Klevu AI Product Discovery in many ways. Whether your architecture is fully decoupled, or you are beginning your headless journey with product discovery, Klevu headless toolkit is flexible to meet your needs.
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Search & Product Discovery
Install Klevu SDK
Klevu’s SDK library allows developers to pull the power of Klevu AI product discovery into any JavaScript ecosystem to build lightning-fast front-end shopping experiences.
Agnostic and available to use with most JavaScript libraries in both traditional and headless implementations, the library features inbuilt helpers to manage filters, cache requests, simplify pagination, and more. It has been built for all browser-based frameworks and the Node.js environment.
Supported Libraries
Compatible with many languages and frameworks
Connect Klevu product discovery power with any Javascript UI easily with our easy-to-use SDK featuring full autocompletion support of integrated development environments, full documentation from the code comments, and extensive code examples in the repository.
Klevu APIs
Full-coverage, MACH-certified, APIs that improve all aspects of product discovery
The most open, advanced ecommerce AI available today. Klevu APIs can transform ecommerce experiences. MACH-certified and powerful.
Search API
Build and configure fully customizable search experiences. The Klevu Search API includes autosuggest, record search, faceting, personalization, analytics events, and more.
Category Merchandising API
Curate and optimize category pages. Fetch products assigned to specific categories, or merchandising campaigns, integrate analytics events and more.
Product Recommendations API
Fine tune product recommendations banners and strategies including new, similar, recently viewed, also bought, visually similar, personalized, and more.
Indexing API
Organized around REST, the Klevu Indexing API has predictable resource-oriented URLs, accepts XML request bodies, returns XML-encoded responses, and uses standard HTTP response codes, authentication, and verbs.
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