One valuation engine for the world's card games

What's any card really worth?

Pokémon, Magic, Yu-Gi-Oh!, Disney Lorcana, One Piece, Digimon and more. Type a card name and we fuse every live market signal into one trustworthy value — then tell you the optimal price to buy and to sell.

1

Find your card

Pick a game (or search all), then start typing — every match appears, most valuable first.

Try:
2

Condition & grade

Refines the value for your exact copy.

Optional

Moving now

Biggest price changes across 15 card games · last 30 daysAll movers →

How SplitShot works

Every value is a transparent consensus of real marketplace data — never a single number we made up.

Real data sources

We pull prices from the open card-data sources that aggregate the major marketplaces: TCGdex (Pokémon), Scryfall (Magic), YGOPRODeck (Yu-Gi-Oh!), Lorcast (Disney Lorcana) and TCGCSV (One Piece, Digimon, Star Wars Unlimited, Dragon Ball, Gundam, Sorcery, Flesh and Blood, Weiss Schwarz, Grand Archive, Union Arena and Riftbound — TCGplayer's daily catalog) — sourcing TCGplayer, Cardmarket and more.

Update cadence

Prices are fetched live on every lookup and reflect each source's most recent published market data — typically refreshed daily. Snapshot-backed games (One Piece, Digimon, Star Wars Unlimited, Dragon Ball, Gundam, Sorcery, Flesh and Blood, Weiss Schwarz, Grand Archive, Union Arena and Riftbound) use a daily TCGplayer snapshot, dated right on the quote. Nothing is hard-coded or hidden-stale.

The fusion algorithm

For each card we gather every available price signal, drop the outliers, and blend the rest with an outlier-resistant weighted consensus (a robust median anchor). That fused figure is your fair market value.

Confidence score

Each valuation carries a 0–100% confidence based on how many sources agree and how tightly. It drops when sources diverge, data is sparse, or a grade is estimated — so you always know how much to trust the number.

SplitShot reports estimates for guidance, not formal appraisals. We don't have per-sale auction history on the free data we use, so values reflect current market consensus rather than individual recent sales.