Compare figoca vs PriceCharting for sports card comps in 2026. See eBay sold data, AI grading, and Chrome extension features. Read which tool fits you best.
figoca vs PriceCharting: Best Card Comps Tool 2026
Table of Contents
- TL;DR
- What PriceCharting Does Well
- Where PriceCharting Falls Short
- What figoca Does Differently
- Feature Comparison: figoca vs PriceCharting
- Which Tool Fits Which Collector
- How to Use figoca to Check Comps
- FAQs
PriceCharting has been a reliable reference for collectors for years. More hobbyists now move toward tools that surface eBay sold data when a buying or selling decision is on the line.
TL;DR
- PriceCharting works for quick lookups and broad price history, but its aggregated data can lag behind what cards sell for on eBay right now.
- figoca pulls eBay sold listings, so the prices you see show what buyers paid.
- figoca's Chrome extension overlays sold comps on eBay listings while you browse, so there's no tab-switching mid-search.
- figoca also includes an AI card grader, a rookie card database, set checklists, and a portfolio tracker. PriceCharting offers none of these.
- Both tools are free to start. figoca is built around the eBay marketplace where most collectors buy and sell.
Not financial advice. Prices and availability change. Verify sold comps and card condition before you buy.
What PriceCharting Does Well
PriceCharting has a large catalog. Search sports cards, video games, or TCG products and you get a price estimate fast. For a rough ballpark on a card you haven't checked in a while, it's quick and familiar.
The site also shows historical price charts, useful for tracking longer-term movement on established cards. For a Michael Jordan rookie's trend over the past few years, PriceCharting gives you a clean visual.
It covers categories beyond sports cards too, which makes it a decent general reference for mixed collectors.
Where PriceCharting Falls Short
The issue is how PriceCharting calculates its prices. It aggregates data from multiple sources and averages them. The number you see can lag behind what a card sold for on eBay last week, or yesterday.
For active buyers and sellers, that lag matters. A card with momentum, say a player who signed a big contract or had a breakout game, can move $30 to $50 in days. An averaged estimate won't catch that.
PriceCharting also doesn't show you the individual sold listings behind its numbers. You can't drill into the last 10 sales, check the condition of each card, or see whether a recent high sale was a PSA 10 slab or a raw copy in rough shape. That context is what you need before you commit to a price.
There's no browser extension, no AI grading tool, no checklist database. Deeper research means opening multiple tabs and doing it by hand.
What figoca Does Differently
figoca is built around one idea: show collectors sold prices from eBay.
Search a card on figoca.com and you see eBay sold listings: the sales data behind the number. Filter by grade, condition, and time window. See whether recent sales are slabs or raw copies. That context changes what a fair price looks like.
The Chrome extension is where figoca separates itself from PriceCharting. Install it once and it overlays sold comps on any eBay listing you're viewing: buyer interest, no tab-switching, no separate search. Collectors who browse eBay find it cuts research time. Read the full overview of the figoca browser extension and how it surfaces trading card comps on eBay.
Beyond comps, figoca includes:
- AI card grading: snap a photo of a raw card or slab and get an instant PSA-style grade estimate
- Rookie card database: data on 60+ players across NBA, NFL, MLB, NHL, soccer, and F1
- Checklists: full set checklists with card numbers and parallels
- Portfolio tracking: log your collection and monitor values over time
PriceCharting offers none of these.
Feature Comparison: figoca vs PriceCharting
| Feature | figoca | PriceCharting |
|---|---|---|
| eBay sold listings | Yes | No (aggregated estimate) |
| Individual sale detail (grade, condition) | Yes | No |
| Chrome extension (comps on eBay) | Yes | No |
| AI card grading tool | Yes | No |
| Rookie card database | Yes | No |
| Set checklists | Yes | Limited |
| Portfolio tracker | Yes | Limited |
| Historical price charts | Limited | Yes |
| Video games / non-card categories | No | Yes |
| Free to use | Yes | Yes |
Which Tool Fits Which Collector
Use PriceCharting if you want a quick historical price reference, you collect across categories beyond cards, or you need a rough ballpark and aren't making an active buying decision.
Use figoca if you buy or sell on eBay and want to know what a card sells for right now. Sold listings, grade and condition filtering, and the Chrome extension make it the more practical tool for active collectors.
If you're building a data-backed collection, whether your budget is $250 or closer to $1,000, the sold price on a specific card matters more than a smoothed average. Guides like 5 Trading Cards Under $250 and 5 Trading Cards to Buy for a $1,000 Budget show how sold data shapes smarter buying decisions at each budget tier.
How to Use figoca to Check Comps
- Go to figoca.com/comps and search the card you want to research.
- Filter by grade (PSA 10, raw, etc.) and time window. 30 days is a solid default.
- Review the individual sold listings. Check condition notes and whether the sales are slabs or raw copies.
- Cross-reference with the eBay listing you're considering before you commit.
If you browse eBay often, install the Chrome extension. It puts sold comps on the listing page so you can verify without leaving eBay. This is the fastest way to check sold comps and card condition in the same view.
For any card where prices moved in the past 30 days, verify the most current sold listings. Averages lag; individual sales reflect what buyers paid.
FAQs
Is figoca free to use? Yes. The core comps search, AI card grader, checklists, and rookie card database are all free. The Chrome extension is also free, no credit card required.
Does PriceCharting use eBay sold data? PriceCharting aggregates data from multiple sources and displays averaged estimates. It doesn't show individual eBay sold listings or let you filter by grade and condition the way figoca does.
Can figoca replace PriceCharting? For sports card collectors who buy and sell on eBay, figoca covers more ground with more accurate real-time data. PriceCharting still has value for historical charts and non-card categories. Most active collectors use figoca for active research and PriceCharting for longer-term context.
What is the figoca Chrome extension? A free browser extension that overlays eBay sold prices and deal signals on any eBay listing you're viewing. No tab-switching, no separate search. Install it once and it runs in the background while you browse.
Does figoca cover TCG cards like Pokémon? Yes. figoca covers sports cards, Pokémon, and other TCG sets across its comps search and checklists.
How current is figoca's sold data? figoca pulls from eBay sold listings, so the data reflects recent sales rather than averaged estimates. For fast-moving cards, that difference in what price you see is meaningful.
What other tools compete with PriceCharting for card comps? Several tools exist in this space, including CardMavin, SportsCardsPro, and 130 Point. figoca differentiates itself through the Chrome extension, AI grading, and the depth of filtering on individual sold listings.
The right tool depends on what you're doing. If you buy and sell on eBay and want to verify sold comps before you commit, figoca gives you the sales data to do that. Explore the full set of tools at figoca.com.

Card enthusiast, figoca founder, and independent software developer
Nico is a card enthusiast who built figoca after running into the same problems many collectors face: uncertain pre-grading decisions, too much tab switching for comps, and no fast way to price cards on the go. He is also a big Kansas City Chiefs fan (❤️💛), follows the Kansas City Royals (💙), and enjoys Formula 1 and Golf.
- Sports Card enthusiast
- Founder of figoca
- Independent software developer with a TypeScript and AWS background