WHO STOCKED IT

Machine-readable

Availability data for AI agents

WHO STOCKED IT publishes per-store availability for limited, boutique-routed sneaker releases (40 tracked) as structured data an AI agent can consume directly — no crawling, no JavaScript, refreshed from the stores' own product feeds. Free to read and cite with attribution.

One-fetch JSON feed

https://whostocked.com/data/releases.json — every release with brand, SKU, retail price, current status, in-stock US sizes, per-store rows (store, product URL, live/sold-out, last-checked date, price), and open draw deadlines. Generated 2026-09-21. Every stockist row carries its own last-checked date — trust that, not the build date.

LLM-native formats

llms.txt/llms.txt — site index per llmstxt.org
llms-full.txt/llms-full.txt — the entire site's content in one markdown file
Markdown twinsappend .md to any release slug: /releases/<slug>.md
JSON-LDevery release page carries Product + AggregateOffer (with live availability) and BreadcrumbList

MCP server (live queries)

A remote Model Context Protocol server exposes the dataset as tools an assistant can call directly:

Endpointhttps://mcp.whostocked.com/mcp (Streamable HTTP; interim: https://whostocked-mcp.seanandrewux9204.workers.dev/mcp)
search_releasesfree-text search over tracked releases
check_availabilityper-store status, sizes, and draw deadlines for a SKU or slug
whats_buyableeverything currently in stock, filterable by US size and brand

No auth, read-only, rate-limited politely. Data identical to the JSON feed.

Why trust this data

Statuses come from the stores' own public product feeds, never guessed; a status and its "checked" date only change when the store's feed actually changed. Sold-out pages stay up permanently, which makes this the surviving record of which stores received a release after the stores' own pages are delisted.