The live sneaker price API, built for AI agents

How an AI agent connects

Four ways in, all live now. Pick whichever your client already speaks:

Keyless REST

GET /api/catalog?q=query returns full price search as JSON. No key, no signup, rate-limited.

MCP server

/mcp (Streamable HTTP): typed tools your MCP client connects to and calls live. Setup in the docs.

OpenAPI

/openapi.json describes the whole surface. Generate a client, or hand it to a tool-calling model.

llms.txt

/llms.txt is a plain-text map of the site and API, written to be read by models.

What's in the data

• The lowest live price per sneaker, reconciled across StockX, GOAT, eBay, Flight Club, Stadium Goods, KICKS CREW, and Nike SNKRS.
• The cross-source offer list behind every price, so an agent can cite where each number came from.
• A Buy/Hold/Wait verdict per sneaker, computed from the live market spread.
• On paid plans: the drop calendar, hype scores, size runs, and the size-by-size resale curve.

Prices self-heal daily against marketplace anchors, so your agent can quote them with confidence.

Free to start, paid when you scale

Reads are keyless. A free account mints an API key at 100 calls a day. Paid plans add call volume plus the deep data: drops, hype scores, size runs, and the resale curve.