Klevu
EcosystemAI-powered product discovery platform with self-learning search that adjusts rankings based on click and purchase behavior. Natural language query handling allows agents to express purchase criteria in plain language without structured filter syntax.
Klevu is an AI product discovery platform that uses NLP and machine learning to improve search relevance in ecommerce. The self-learning capability adjusts rankings based on click and purchase behavior without requiring manual tuning. When shoppers consistently choose one result over another for a query, Klevu incorporates that signal into future rankings automatically.
The product catalog is indexed with semantic understanding of product attributes. Klevu interprets queries like "warm jacket under $100" without requiring exact keyword matches, using semantic similarity to surface relevant products even when query terms do not appear literally in product titles or descriptions. This natural language handling is useful for agents that express purchase criteria in natural language rather than structured filter syntax.
Klevu covers search, category merchandising, and recommendations across four strategies: trending, new arrivals, similar items, and bought-together. The Klevu merchant center allows retailers to configure synonyms, boost rules, and manual overrides that apply on top of ML rankings. Agents querying Klevu receive results that combine ML relevance with retailer merchandising intent.
The REST API is documented for server-side use with API key authentication. Search queries return product arrays with all attributes needed for purchase decisions including price, availability status, product URL, and custom attributes that retailers map during catalog integration. The recommendations API accepts a product ID or category ID and returns product sets by strategy in a single call.
Why This Matters for UCP
Klevu provides natural-language-capable product search APIs with self-learning rankings, allowing agents to express purchase criteria in plain language and receive semantically relevant product results before routing to UCP checkout.
UCP Capabilities
UCP Endpoint
Ecosystem — Endpoint not yet publicly available
Integration Example
// Klevu REST API for AI-powered product search.
// Agents query with natural language and receive semantically ranked results.
const KLEVU_SEARCH = 'https://eucs23v2.ksearchnet.com/cs/v2/search';
const payload = {
context: { apiKeys: [{ key: process.env.KLEVU_API_KEY }] },
recordQueries: [
{
id: 'productSearch',
typeOfRequest: 'SEARCH',
settings: {
query: { term: 'warm jacket under 100 dollars' },
typeOfRecords: ['KLEVU_PRODUCT'],
limit: 10,
offset: 0,
filters: { filtersToReturn: { enabled: true } },
personalisation: { enableForCurrentRequest: false },
},
},
],
};
const response = await fetch(KLEVU_SEARCH, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(payload),
}).then(r => r.json());
const searchResult = response.queryResults?.find((r: any) => r.id === 'productSearch');
console.log('Total found:', searchResult?.meta?.totalResultsFound);
searchResult?.records?.forEach((product: any) => {
console.log(product.name, '$' + product.price, product.url);
});Category
Search & DiscoveryUCP Status
EcosystemTags
Pricing
paid
Is this your listing? Claim it to get analytics, a verified badge, and priority placement. Claim your listing →
Reviews
★★★★★4.7 (3 reviews)These are illustrative examples to show what reviews will look like. Submit your own experience below.
R. Kapoor
Platform Engineer · Jan 15, 2026
Integrated in an afternoon. Solid implementation with no unexpected edge cases in production.
J. Santos
Senior Engineer · Feb 28, 2026
Integration was straightforward. The UCP endpoint discovery works as documented and checkout completes in under 2 seconds.
M. Lee
Backend Developer · Mar 3, 2026
Works well for our use case. The documentation is accurate and the implementation matches what the spec describes.
9 other tools in Search & Discovery
Is this your tool? Claim this listing
Related Search & Discovery
Algolia
Search & Discovery
Search-as-a-service platform widely used in ecommerce for fast product discovery, faceted filtering, and AI-powered ranking. Exposes REST and JavaScript APIs for product catalog search that agents use to find purchase targets before UCP checkout.
Constructor
Search & Discovery
Ecommerce-specific AI search and product discovery platform focused on conversion optimization. APIs for search, browse, and recommendations train on actual purchase data to surface products buyers complete transactions for.
Searchspring
Search & Discovery
Ecommerce search, merchandising, and personalization platform with REST APIs for product discovery and faceted navigation. Used by mid-market and enterprise retailers for site search with configurable merchandising rule layers on top of algorithmic ranking.