One dataset, read four ways
Fuzzy reads live dispensary menus on Dutchie and Jane nationwide, plus Weedmaps in California, and turns them into one dataset of who carries what, at what price, right now. Brands, agencies, and AI workflows build on it directly — through the dashboard, the API, the React kit, or MCP.
A brand showing where it's carried
Drop a store locator on your own site that reads the same live menu data Fuzzy scans, with schema.org markup search engines can pick up. No backend to build, no data to maintain.
Artifact: a where-to-buy widget
Real stores, real stock state, deep links to the actual menu listing — rendered from the open-source React kit or a plain API call.
Agencies, brokers, and platforms building on top of Fuzzy
Every surface here works per-brand, so a firm managing distribution or media for several brands at once can pull the same feeds, rankings, and gaps for each one without a separate integration per client.
Artifact: per-brand feeds and rankings
Top products by door count, retailer lists filterable by market, and whitespace against a named competitor — all through the same REST calls.
A question-answering layer, not just a data dump
The same data is available as an MCP server: a client asks a plain-English question and gets back a grounded answer with a Fuzzy link attached, instead of an endpoint list to wire up.
Artifact: an MCP tool call
“Which dispensaries carry Heavy Hitters in California?” resolved to a canonical brand, a retailer list, and a verified link — no schema to memorize.
How it connects
Same underlying data behind every one of these. Pick the surface that fits how you work.
Building something on top of this?
Tell us what you're building and which markets matter to you, and we'll point you at the right surface and tell you where our coverage is thin.