Midpoint analyzes trading card photos – sports, Pokemon, and other TCG cards – to produce an instant pre-grading estimate: subgrades for corners, edges, surface and centering (measured to the millimeter with exact ratios and offsets), a predicted grade mapped to PSA, BGS, CGC and TAG standards, and a market valuation pulled from real eBay sales data. A portfolio layer tracks an entire collection’s cost basis, profit/loss, and price history over time.
Pre-grading before paying a real grading company’s fee is the actual use case that matters here, and millimeter-precision centering measurement is a meaningfully harder technical problem than a rough visual estimate – centering is one of the most disputed subgrades in professional card grading, and a numeric ratio removes the guesswork a collector would otherwise be doing by eye. Real eBay sales data for valuation, rather than a static price guide, also keeps portfolio values honest against what cards are actually selling for.
An AI pre-grade is a decision-support estimate, not a guarantee of what a card will actually grade once professionally submitted – centering, lighting and photo angle can all shift the read, and this is best used to decide whether a card is worth submitting at all, not as a substitute for the real grading company’s verdict.
