A pretrained magic the gathering card type classifier that sorts an image into one of 10 categories — the type of Magic The Gathering card it is. Use the magic the gathering card type API immediately, no training required, then adapt it to your own data when you need more.
Drop in a photo and get the prediction back. No signup, no setup.
A sample of the 12 labels this pretrained classifier chooses between.
Need a label that isn't here? Clone the classifier into your Nyckel console and edit the label set to fit your data.
Once you've added this classifier to your console, you get your own copy of it behind your own endpoint. Invoke it with any HTTP client:
curl
curl -X POST "https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke" \
-H "Authorization: Bearer $NYCKEL_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"data": "https://example.com/photo.jpg"}'Python
import requests
# Get an access token: https://www.nyckel.com/docs/api/overview/authentication/
token = "YOUR_ACCESS_TOKEN"
response = requests.post(
"https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke",
headers={"Authorization": "Bearer " + token},
json={"data": "https://example.com/photo.jpg"},
)
print(response.json())Example response
{
"labelName": "Artifact",
"labelId": "label_...",
"confidence": 0.92
}Trained on a Nyckel-curated dataset covering 10 magic the gathering card type categories, served on Nyckel's own infrastructure — your image stays on Nyckel.
Send an image URL or file to the invoke endpoint; the response is a label with a confidence score.
Clone it, then correct predictions and add your own samples in the console — Nyckel retrains automatically, turning this into a custom model tuned to your data.
An online platform can incorporate the 'magic the gathering card type' identifier to help users build their decks more efficiently. The system can automatically categorize the cards as players add them to their collection, making it easier to manage and optimize deck strategies based on card synergies and types.
Retailers can use the identifier to streamline their inventory management process. By categorizing cards by type, they can quickly assess stock levels, reorder specific cards, and analyze sales data to make informed purchasing decisions.
Gaming platforms can integrate the identifier to offer players detailed game analyses based on the types of cards used in their matches. This would enable players to receive tailored feedback on their strategies and suggest ways to improve their deck composition over time.
A card trading app can utilize the identifier to allow users to filter and sort cards based on type easily. This will enhance user experience by simplifying the process of finding wanted cards and assessing their value based on type-driven demand trends.
An AI chatbot designed for Magic The Gathering can use the identifier to answer questions about card types, rules, and strategies in real-time. This feature enhances user engagement and provides quick assistance to both new and seasoned players about game mechanics.
Organizers of Magic The Gathering events can leverage the identifier to facilitate better tournament setup and management. By categorizing cards, they can create type-specific tournaments and manage player pairings, ensuring balanced matches and enhancing the competitive experience.
Educational platforms can employ the identifier to create interactive tutorials for new players. By categorizing cards and explaining their types, players can learn the various mechanics of gameplay more effectively, improving their understanding and enjoyment of the game.
A zero-shot classifier uses a large foundation model's general knowledge to pick between your labels — no task-specific training, so new or edited labels work immediately. A Nyckel-trained classifier has been trained on labeled examples and runs on Nyckel's own infrastructure, which typically makes it faster, cheaper per call, and more accurate on data that resembles its training set. The "Under the hood" section on this page shows which kind this classifier is, and any classifier can be adapted into a trained one by adding your own examples.
Honestly: we can't know in advance — it depends on your data stream and how closely it resembles what this classifier has seen. The reliable way to find out is to measure it on your own data: start invoking the classifier with real traffic, or upload and annotate a set of images in the console — make sure they look like your production data, not idealized examples. Nyckel's evaluation metrics then show you exactly how it performs on that data before you rely on it.
No classifier is perfect, so Nyckel is built around the correction loop: invokes can be captured for review, you confirm or correct predictions in the console, and corrections become training data. Over time the model adapts to your data distribution — accuracy on your traffic improves with use rather than staying fixed.
No. This magic the gathering card type classifier works out of the box — clone it into your console and you'll have your own API endpoint in under a minute. Training data only enters the picture when you want to adapt it: your corrected predictions and uploaded samples improve the model, and you can also edit the label set to match your needs.
Trying the classifier on this page is free with no signup. Cloning it requires a free account, and the free tier covers your first API calls each month — see nyckel.com/pricing for current limits and paid tiers.
Add this pretrained classifier to your Nyckel console — you'll get a live API endpoint in under a minute, and a path to a custom model when you need one.