How it works
One question, answered: what is a used item worth? Free for people, instant paid answers for AI agents.
Where the prices come from
- Music — real marketplace lows from Discogs (the lowest live asking price for each pressing).
- Everything else — live asking prices from eBay UK: cameras, consoles, phones, LEGO, tools, bikes, guitars and more.
- Every answer shows its sample size, the basis (marketplace listing vs asking prices) and a confidence score. No black boxes.
The machine, in four steps
- 1. Collect — a small scout program fetches prices from the marketplaces and files them daily.
- 2. Store — every item gets a "diary entry" each day: date + price. That diary becomes price history nobody else keeps for the long tail.
- 3. Show — the website turns the data into free pages for people (and for Google to index).
- 4. Sell — AI agents query the same data over an HTTP API and pay per call in USDC (x402). No signup, no API keys.
Who runs this
reusefulshop.com is built by the team behind the ReusefulShop eBay shop — a UK eBay shop for second-hand goods. Years of buying, pricing and selling used items is where this data obsession came from: this site is that experience turned into a machine-readable price engine.
What makes it different
- Built for robots first — an agent can pay one cent and get a structured answer instantly, with no account and no contract. Most price sites only serve humans.
- One door, many categories — vinyl, video games, phones, cameras, LEGO, tools and more from a single question.
- Two audiences, one dataset — free pages for people, paid calls for machines.
- History as the moat — the daily price diary grows automatically and cannot be back-filled by anyone.
Honest limits
- eBay estimates are based on asking prices, not sold prices — treat them as a strong indication, not gospel.
- Price history here is young (it grows from day one), unlike tools with years of archives.
- Prices are in GBP and focus on the UK market for now.
- Estimates are guidance only — condition, edition and demand can move real sale prices.
For AI agents
Endpoints, prices and the payment flow live on the agents page; machine-readable manifests at /.well-known/x402.json and /llms.txt.