</>TCG Price Lookup
CatalogAPIPricingFAQDocsBlog
CatalogAPIPricingFAQDocsBlog
</>TCG Price Lookup

Free trading card game price checker. Live prices from TCGPlayer and eBay for Pokemon, Pokemon Japan, Magic: The Gathering, Yu-Gi-Oh!, One Piece, Disney Lorcana, Star Wars: Unlimited, and Flesh and Blood.

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Product

  • Card Price Checker
  • Price Guide
  • API for Developers
  • Pricing

Games

  • Pokemon
  • Pokemon Japan
  • Magic: The Gathering
  • Yu-Gi-Oh!
  • One Piece
  • Disney Lorcana
  • Star Wars: Unlimited
  • Flesh and Blood

Resources

  • Blog
  • FAQ
  • Documentation

Legal

  • Privacy Policy
  • Terms of Service

© 2026 TCG Price Lookup. All rights reserved.

TCG Price Lookup is not affiliated with or endorsed by TCGPlayer, eBay, or any trading card game publisher.

All trading card game names, logos, and card imagery are trademarks and © of their respective owners. Pokemon is © Nintendo / Creatures Inc. / GAME FREAK Inc. Magic: The Gathering is © Wizards of the Coast LLC. Yu-Gi-Oh! is © Konami Digital Entertainment. One Piece Card Game is © Bandai / Shueisha / Toei Animation. Disney Lorcana is © Disney / Ravensburger. TCG Price Lookup is an independent card price tracking service and is not affiliated with, endorsed by, or sponsored by any of the above companies, PSA, BGS, CGC, or any grading service. All card names and imagery are used solely for identification and price tracking purposes.

Markets and Pricing Tiers

Field-level guide for interpreting raw and graded pricing data across marketplaces.

Raw Conditions

near_mint - strongest raw premium baseline

lightly_played - minor wear, active liquidity

moderately_played - visible wear, broader spread

heavily_played / damaged - high variance, low ceiling

Graded Buckets

Graded pricing is grouped by grader (`psa`, `bgs`, `cgc`, etc.) and grade value (`10`, `9.5`, `9`). Compare spreads by grade, not only by card.

Market Source Notes

  • Use `tcgplayer.market` for raw-market baseline in supported games.
  • Use eBay rolling averages to smooth auction/listing noise.
  • Prefer combining sources before making automated buy/sell decisions.