Get an AI-Powered Trading Card Price Checker via API

Our AI price guide can be used for value tracking of cards and comic books, offering accurate pricing data and their history.

Michal Lukáč, Ximilar
Michal Lukáč December 11, 2024
11 minutes of reading
Ximilar's AI price guide can be used for value tracking of cards and comic books, offering accurate, real-time pricing data. Image credit: Laurie Byrne and Mick Haupt, Unsplash.

Each week, customers asked, “Can your Collectibles Recognition service determine market values?” It became clear that the demand for card price search API and AI price guides, in general, is strong. Collectors, small shops, and marketplaces need more than identification – they want to track value trends to decide whether to hold, grade, or sell their items.

We knew building such a tool for collectibles wouldn’t be easy. Gathering enough data to ensure accuracy and reliability took months of development, testing, and fine-tuning. Now, we’re thrilled to introduce a major update: an AI-powered price checker for trading cards and comic books. With this tool, collectors can easily identify their most valued Pokémon cards, learn their baseball card values, or follow the evolving prices of comics and manga.

Visual AI for Collector Websites

Our Existing Solutions

As a tech-driven company, we’re dedicated to delivering top-tier visual search and image recognition technology through our API. Marketplaces, communities, and apps for collectors utilize the following solutions:

  • AI Recognition of Collectibles – The core service can detect and identify collectible items in photos, such as trading cards, sports cards, comic books, manga, stamps, banknotes, and coins, with more categories added on demand.
  • Collectibles Identifiers – After initial recognition, our system provides detailed identification of collectibles like trading cards, sports cards and comic books. This service delivers all the necessary metadata for listing, cataloguing, and text-based searches.
  • AI-Powered Grading Services – We offer tools for evaluating the condition of collectible cards, including:
    • AI Card Grader provides individual and overall grades based on standards like PSA or Beckett.
    • Card Condition assessments for an overall quick evaluation without detailed grading.
    • Card Centering analysis for precise alignment evaluations.
A demonstration of Ximilar’s visual AI capabilities: precise detection of a Pokémon card and its graded slab label, categorization of the card, detailed description of its features, full identification, and direct links to relevant websites. The Pokémon card price checker then compares the Pokémon card’s cost with data retrieved from Mercari and eBay listings.
  • OCR System – Specialized optical character recognition for trading cards, comic books, manga, and slab labels.
  • Reverse Image Search for Collectibles – Widely used for finding matches in databases, such as coins, or identifying similar antique furniture and home décor items. For instance, we built a Pokémon search engine!
  • Image Enhancement Tools – Features like an image upscaler for improving photo quality and a background removal model for clean, professional visuals.
  • AI Price Guide – This latest addition to our portfolio offers pricing insights for trading cards, comic books, and other collectibles.

Our Customers

Our AI is widely used by diverse customers in the collectibles’ industry, including:

  • Smartphone app developers who use our technology for visual identification. For instance, apps allow users to upload scans or photos of collectibles to instantly identify them and access market values.
  • Large online marketplaces that integrate our tools to help buyers and sellers identify items in bulk and also track price trends over time for informed pricing decisions.
  • Offline stores and warehouses that leverage our AI for efficient inventory management of large collections of items such as cards, books, and memorabilia.
  • Social networks and niche websites using our tools to boost community engagement, enabling collectors to share, discuss, and trade items with instant identification and pricing data.
  • Antique sellers and price comparison websites that rely on image recognition and reverse image search to provide visitors with similar alternatives to their search queries and interests.

Interested to know more about the collectibles’ industry, marketplaces, technologies and apps? Check out our articles The Best Online Tools, Apps, and Services for Card Collectors and How To Scan And Identify Your Trading Cards With Ximilar AI.

Introducing Online Collectibles’ Price Guide Based on Computer Vision

Our API provides specialized tools for price tracking, offering comprehensive data such as card grades, pricing history, and marketplace trends.

By sourcing pricing information from platforms like eBay and Rakuten, it equips collectors with the insights needed to make informed buying or selling decisions based on market dynamics.

We combine marketplace insights with advanced AI to create a reliable online price guide. This approach minimizes errors and delivers highly accurate pricing data for trading cards stores, as well as sports cards, comics, and manga enthusiasts.

AI Card Price Guide Specifics

The pricing listings we gather include information on parallel variations. For instance, limited editions, special foil versions, or other design differences that collectors often seek.

Unlike competitors relying solely on text-based analysis, our system uses advanced visual search to correctly identify each item before adding it to our database.

The data specifies:

  • Whether a card, comic book, or manga has a grade from services like PSA, Beckett, CCG, and others.
  • The actual grade number (e.g., on a 1–10 scale for cards).
  • Details about parallel variations (e.g., special editions) or direct sales vs. newsstand editions for comics.

Analyzing Marketplaces From the USA, Europe, and Japan

To deliver accurate pricing data, we gather listings from major marketplaces like eBay, Rakuten, Mercari, and others, cross-analyzing them with advanced AI.

Our data system analyzes top marketplaces to provide up-to-date pricing for sports cards (e.g., baseball) and TCGs such as Magic The Gathering (MTG), Lorcana, and others. Trading platforms vary by country, each serving as a key source for card pricing data:

  • In the United States, eBay stands out as a key source, given its vast number of listings and active collectors who sell on eBay daily.
  • In Japan, platforms like Rakuten play a similar role. They serve as hubs for trading card games, manga, and comics in one of the most vibrant collectibles markets globally. By analyzing these platforms, we ensure our pricing system will return data from multiple sources and are relevant globally.

You can find the taxonomy of all the games we support in our developer documentation. We’ll soon integrate data from additional trading card stores and markets like Rakuma, Mercari, and TCG Player, enabling you to build unique applications with rich options for collectors. This is a long-term project with big plans ahead, so stay tuned!

How We Monitor the Market Trends and Price Changes

With each update, we expand our database to include new sets of cards and comics, offering a global view of pricing trends.

Our system prioritizes the most frequently searched or traded items, automatically updating the prices of popular collectibles. The criterium is the search frequency via our Collectibles Recognition API. This ensures users always have access to the most relevant and up-to-date market insights.

The system offers diverse functionalities, from card price checker to retrieving historical pricing data. Developers can use these tools to create personalized apps for card valuation, cataloguing, as well as market analysis.

Test the Card Price Search API

Since transparency is one of our key values, our API’s pricing is public, and we allow you to test the technology for free. There are several ways to do so: via live interactive demos, via Ximilar App, and, of course, via API.

Public Demos

To try a light version of our card price search system, visit our public demos. Go to the service page and select a demo. Then click on any sample image of a card or comic book, or upload your own photo.

The main demo at the top allows general recognition of collectibles. The demos further down showcase card grading, condition evaluation, and centering analysis.

Card Pricing & Identification Demo
Ximilar trading card recognition and price search demo. You can test it on your own photos of Pokémon and other collectible cards as well.

As mentioned, our system also includes data from Japanese markets, covering the most popular manga such as One Piece or trading card games such as Pokémon and Union Arena on Japanese marketplaces like Rakuten, Mercari, or Rakuma.

For example, look at how our system processed One Piece Vol. 107 by Shueisha, the most popular manga in Japan, with prices available from online sources.

To learn more about the functionalities of our comic book & manga recognition and search system, check out our article on how to Identify Comic Books & Manga Via Online API.

Cover of One Piece manga analyzed by Ximilar comic price guide: first, the item is classified into “comics”, followed by a detailed identification and last, our AI price guide compares comic book values on various marketplaces.

Ximilar App

For registered users with a subscription plan, simply login to the Ximilar App to access card pricing via our test forms under Collectibles Recognition in the sidebar.

Select either TCG Card Identification or Sports Card Identification, then click the toggle to enable “Pricing Information.”

Testing AI-powered sports card price search in Ximilar App: in the Sports Card Identification form, select “Pricing information” to see the price comparison for marketplaces such as eBay.

For example, here’s the result for Shohei Ohtani’s Baseball card from Topps 2023. Our system found two listings on eBay, both priced at $10. The output includes the baseball card prices along with information on whether the card is graded and a link to the marketplace.

Ximilar Platform form for testing card and comics pricing.
Ximilar App provides a form for the testing of the card and comics price search system.

Connect to the Comics & Card Price Search API

Accessing the pricing data of cards, comics or manga is simple with our API. Whether you’re building a mobile app or integrating with an online marketplace.

Our price guide is integrated with our AI Recognition of Collectibles service. This allows you to identify cards or comics from photos and instantly retrieve their prices in JSON format.

For full integration, our primary focus is seamless connectivity via our REST API. We provide several endpoints for collectibles identification, each of them with a different use case, such as:

https://api.ximilar.com/collectibles/v2/sport_id       - sports cards 
https://api.ximilar.com/collectibles/v2/tcg_id         - trading cards
https://api.ximilar.com/collectibles/v2/comics_id      - comic books + manga
https://api.ximilar.com/collectibles/v2/analyze        - general

Here’s an example curl request that returns sports card prices:

$ curl https://api.ximilar.com/collectibles/v2/sport_id -H "Content-Type: application/json" -H "Authorization: Token API_TOKEN" -d '{
   "records": [{ "_url": "PATH_TO_IMAGE_URL"}],
   "pricing": true
}'

How the Typical Response Looks

Here’s an example of how the response from our card value finder might look:

{
  "item_id": "v1|XYZ|0",
  "item_link": null,
  "name": "2021 Panini Chronicles ...",
  "price": 20.0,
  "currency": "USD",
  "country_code": "US",
  "source": "eBay",
  "date_of_creation": "2024-11-11",
  "date_of_sale": "2024-11-17",
  "grade_company": "PSA",
  "grade_value": 10
}

Explanation of the Data Fields

Here is a detailed explanation of individual fields:

  • item_id: A unique identifier for the product item on the marketplace.
  • item_link: The URL link to the item’s product page.
  • name: The name of the submission on the marketplace (e.g., “2021 Panini Chronicles Shohei Ohtani”).
  • date_of_creation: The date the item was posted on the marketplace (formatted as YYYY-MM-DD).
  • price: The item’s price at the time of creation.
  • currency: The currency of listing (typically USD, EUR, or YEN).
  • country_code: A Two-letter country code based on ISO 3166-1 standard.
  • grade_company: The company that graded the item (such as PSA or BECKETT).
  • grade_value: The numerical grade of the item (if it has a grade).
  • date_of_sale: The date the item was sold (formatted ad YYYY-MM-DD, can be null).

Get Historical Pricing Data for Your Collectibles

For deeper insights into collectible pricing trends, we offer the option to download historical data. It is great for collectors, shops, as well as marketplaces, who want to track their pieces’ prices for longer periods.

This data allows you to analyze price movements, compare values over time, and make informed decisions about buying, selling, or grading collectibles. That is why it can even serve as the foundation for building your own online price guide. If you’re interested, contact us.

Continuous Improvements: Enhancing Card Pricing Accuracy

Our API allows you to build your own comics and manga price checkers. Moreover, it helps to analyze card prices history or check values based on PSA and other grading standards. With this service, you can identify collectibles and quickly access detailed pricing data in listing-compatible formats automatically and at the same time.

We continually refine our system by updating databases, enhancing AI models, and integrating data from more platforms and marketplaces to ensure reliable and accurate results.

Whether you’re evaluating football cards or assessing Pokémon card values, our technology supports collectors and businesses alike. This is just the start. As we expand functionality, our mission is clear: to deliver top-tier AI-powered API solutions for collectors worldwide.

Whether you’re a hobbyist or a professional, we’re here to help with cutting-edge tools and data-driven insights. Need assistance with setup or want to discuss a custom solution for your app or website? Contact us to explore your needs and find the best solution together.

Michal Lukáč, Ximilar

Michal Lukáč

CEO, ML Expert & Co-founder

Michal is a CEO of Ximilar and a machine learning expert focusing mainly on image recognition, visual search and computer vision. He is interested in science, loves reading books and Brazillian Jiu-Jitsu.

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