Search for any print. Build your binder.
Every card a Pokémon has appeared on, from Base Set 1999 to today. Find it by species, illustrator, type or rarity, then mark what you own and see the gaps.
Browse Pokémon TCG by set, by Pokémon or by illustrator. Open any card for its rarity and market price, add it to a binder, and the binder shows what you still need.
Frequently asked questions
Is it free to use?
Yes, today. The core collection-tracking experience (auto-discovery, binder planning, market pricing) is free with no limits on the number of binders or cards you track. We may add premium tiers later for power-user tools like bulk imports, advanced analytics, and API access.
Which games are supported today?
Pokémon TCG (every set, every era, every reprint, every language) is fully supported. Riftbound launched in 2025 and is fully supported including Overnumbered chase variants. Magic: The Gathering, Disney Lorcana, One Piece, and Flesh and Blood are on the roadmap with no firm dates yet.
Can I export my collection data?
Always. CSV export is one click from any binder page — your data is yours, portable to any other tool. JSON export with full metadata is also available for collectors who maintain bespoke Notion or Coda systems alongside the Foundry.
How does auto-discovery actually work?
When you search a Pokémon, set, or evolution chain, the Foundry cross-references the entire card database to find every related print — including reprints, alternate arts, parallels, language variants, and cards mechanically linked to the same character. The result is a complete binder blueprint, not a checklist you assemble manually.
Do I need to scan my cards?
No. You mark cards as owned or unowned with one click — no camera, no OCR, no misidentified Enchanted variants. We chose this path deliberately because existing scanning tools are unreliable on the visual nuances that matter most to serious collectors.
How accurate are the prices?
We pull live Cardmarket EUR averages and TCGplayer USD market prices, refreshed every 6 hours. For investment-grade decisions on graded vintage, we recommend cross-referencing with raw sold-listings — algorithmic averages are directional, not authoritative.