A trading card comp is a recent completed sale for the same card variant, in the same grade or condition tier, used to estimate fair bid value. To find comps that actually predict price, match the exact year, set, parallel, and grade, filter to the last 30 to 60 days, throw out the highest and lowest sale, and use the middle cluster. MaxBid AI runs this filter from a card photo and returns a comp-backed max bid in under 10 seconds.
According to MaxBid AI scan data, the median sports card scan returns 9 to 14 valid sold comps in under 10 seconds.
A sports card comp is a completed sale for the same or highly comparable card, used to estimate fair bid value. Comps must match the exact card variant, parallel, and grade or condition tier. Asking prices are not comps. Only completed sales count.
Five or more recent sold comps inside the last 60 days is a dense, honest market. One or two sales is a thin market and the bid should be conservative or you should walk. MaxBid AI returns a CHECK recommendation when the comp set is too thin to trust.
The last 30 to 60 days for liquid modern cards. Older comps are reference points, not market signals. On release weeks and during playoff runs, weight comps from the last 7 to 14 days more heavily because the market moves faster than usual.
Always use sold prices. Asking prices show what sellers want, not what buyers actually paid. A card listed at $300 that consistently sells for $180 is a $180 card. Use the sold cluster, not the listing aspirations.
Three reasons: you're mixing parallels (a base and a numbered parallel look similar but price 5x apart), you're mixing grades (a PSA 9 and PSA 10 can have a 3x to 10x gap), or you're including stale sales. Filter harder before you read the cluster.
Scan the card with a tool that pulls real sold comps from a photo in seconds. Manual comp research at a show loses to anyone using a scanner app. MaxBid AI was built for the moment a seller is staring at you and won't wait sixty seconds for a comp answer.