Use cases
Whatever you price, price it on real data.
Real eBay sold prices for anything — cleaned, deduped, and summarized. Pick how you work; the data is the same underneath.
For card & TCG app builders
Price every card in your app — from real sales, not guesses
Building a collection tracker, a scanner, a portfolio valuator, or a grading tool? Your users expect a price next to every card. Grail returns real eBay sold comps and TCGplayer sales for any card — one call, clean JSON, raw and graded.
Learn more →For deal finders & arbitrage tools
Flag the underpriced listing, on real sold prices
A deal finder is only as good as its price reference. Grail gives your scanner the real sold median and range for any item, so “under market” means under what it actually sold for — not under an asking price.
Learn more →For AI agents & LLM builders
Let your agent price things, without guessing
LLMs invent prices when nothing grounds them. Grail gives your agent real eBay sold comps over MCP — one tool call, a median and range back, no scraping and no made-up numbers.
Learn more →For developers
Add real market pricing to your app
One REST endpoint returns eBay sold data — raw or cleaned — with a median you can actually use. No scraping stack to run, no OAuth, no XML.
Learn more →For resellers and flippers
Know what it sold for before you buy it
Thrift store, estate sale, storage auction — you have seconds to decide. Grail hands you cleaned eBay sold comps on the spot, so “iPhone” means the phone, not a case, a charger, and three cracked screens.
Learn more →For market research
Validate demand on real transactions
Analyze real completed sales with the noise stripped out first — not asking prices, not wishful listings. A sample you can defend, not just assert.
Learn more →For estate sales
Price a 1,000-item estate in hours, not days
Run each item through cleaned sold comps instead of hand-checking noisy eBay searches one by one. A week of spreadsheet work becomes a single batch job.
Learn more →