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Everything you need to build with Kibbe.
Docs for developers, courses for merchandisers, research for leaders — and a status page for everyone.
DocumentationQuickstart, authentication, guides and best practices.Open docs →{ }API referenceEvery endpoint, parameter and response, with examples.Browse endpoints →JournalEssays on search, merchandising and fashion AI.Read the journal →Open source & SDKsClient libraries, plugins and example apps on GitHub.View repositories →System statusLive uptime and incident history for every endpoint.Check status →
Research report · 2026The state of AI in fashion commerceHow shopper expectations are rewriting retail searchNew research
State of AI in Fashion Commerce 2026
What fashion shoppers now expect from search, where retailers are investing, and the discovery patterns separating leaders from laggards.
- · How natural-language search changed what shoppers type
- · Where AI is lifting conversion — and where it isn't yet
- · A 90-day roadmap for ecommerce teams
The report isn't ready to send yet. We'll open requests here when it is.
Journal
Notes from the fitting room of fashion AI.
Ranking for margin without breaking relevance
A practical taxonomy for silhouette, fabric and fit
Open source & SDKs
Install, call, ship. In your stack.
Typed clients, storefront plugins and example apps — MIT licensed and maintained by the Kibbe team.
terminal
$ npm install @kibbe/sdkkibbe-jsTypeScriptTyped client for browser and Node, with streaming search.
kibbe-pythonPythonBatch tagging and catalog sync for data teams.
kibbe-storefrontPluginDrop-in search and recommendations for popular storefronts.
kibbe-examplesNext.jsReference apps: image search, stylist chat, PDP recs.
System status
Last checked All systems operational.
Search API99.99%
Tag API99.98%
Similar API100%
Fit API99.97%
Trends API100%
Dashboard99.95%
30 days agoToday