Hawksearch

Ecosystem

Search and product discovery platform with deep coverage of B2B distribution and industrial ecommerce. REST and GraphQL APIs handle complex attribute querying, technical specification matching, and predictive search for distributor and manufacturer catalogs.

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Hawksearch is a search and product discovery platform that covers both B2C retail and B2B distribution, with particular depth in industrial and technical commerce. Distributors, manufacturers, and specialty retailers with large SKU counts and complex attribute structures use Hawksearch because it handles multi-value attributes, compatibility filtering, and technical specification matching in ways that generic search platforms do not.

The platform's data enrichment layer is a core feature for B2B contexts. Hawksearch can augment product data with external reference data sources, mapping product attributes to industry standard codes, specification databases, and cross-reference data. For agents in procurement contexts, this means search results can include enriched technical specifications beyond what merchants put in their own catalog data.

Hawksearch's ranking model is configurable through a visual merchandising tool and an ML autolearning mode. Merchandisers set pin, boost, and bury rules. The autolearning layer adjusts rankings based on click and purchase behavior. Agents querying Hawksearch receive results that combine explicit merchandiser rules with behavioral ranking signals.

The predictive search API returns autocomplete suggestions, popular searches, and category suggestions as the query is typed. For agents processing ambiguous queries, predictive search results can inform query refinement before submitting a full search. The Hawksearch GraphQL API provides type-safe product queries for structured data retrieval, while the REST API covers the full feature set including facets, sorting, and recommendations. Hawksearch integrates with SAP Commerce, Salesforce Commerce Cloud, Sitecore, and Optimizely through pre-built connectors.

Why This Matters for UCP

Hawksearch provides product discovery APIs specialized for B2B distribution and technical commerce, giving agents structured search capabilities for complex attribute-heavy catalogs in industrial and specialty retail contexts before UCP checkout.

UCP Capabilities

product discovery

UCP Endpoint

Ecosystem — Endpoint not yet publicly available

Integration Example

// Hawksearch REST API for B2B and B2C product search.
// Agents query with attribute filters suited for complex catalog structures.

const HAWK_API = process.env.HAWKSEARCH_API_URL!;
const clientGuid = process.env.HAWKSEARCH_CLIENT_GUID!;

// Full-text search with facet filters
const search = await fetch(HAWK_API + '/api/search', {
  method: 'POST',
  headers: {
    'X-HawkSearch-ApiKey': clientGuid,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    Keyword: 'hydraulic pump 2-stage',
    PageNo: 1,
    MaxPerPage: 10,
    FacetSelections: {
      pressure_rating: ['3000 PSI'],
      in_stock: ['true'],
    },
    SortBy: '_score',
    SortOrder: 'Descending',
  }),
}).then(r => r.json());

console.log('Total results:', search.Pagination?.TotalResults);
search.Results?.Items?.forEach((item: any) => {
  console.log(item.Document?.product_name, '$' + item.Document?.price, item.Document?.sku);
});

// Predictive search for query expansion
const predict = await fetch(HAWK_API + '/api/autocomplete', {
  method: 'POST',
  headers: { 'X-HawkSearch-ApiKey': clientGuid, 'Content-Type': 'application/json' },
  body: JSON.stringify({ ClientGuid: clientGuid, Keyword: 'hydraulic', DisplayFullResponse: true }),
}).then(r => r.json());

console.log('Suggested terms:', predict.Value?.Popular?.map((p: any) => p.Value));

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.

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