API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("level-type", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/level-type/invoke', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
        'Content-Type': 'application/json',
    },
    body: JSON.stringify(
        {"data": "your_image_url"}
    )
})
.then(response => response.json())
.then(data => console.log(data));


curl -X POST \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
    -d '{"data": "your_image_url"}' \
    https://www.nyckel.com/v1/functions/level-type/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict what level type it is.

This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Armor, Beam, Blastwave, Countermeasure, Drone, Energy, Explosive, Forcefield, Ion and Laser.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what level type it is).

Whether you're just curious or building level type detection into your application, we hope our classifier proves helpful.

Need to identify level type at scale?

Get API or Zapier access to this classifier for free. It's perfect for:

Fraud Detection in Financial Transactions: This use case involves identifying false images of financial documents that may be submitted during loan applications or account verifications. By accurately classifying these images as genuine or false, financial institutions can mitigate the risk of fraud and protect their assets.

E-commerce Product Verification: E-commerce platforms can utilize the image classification function to verify the authenticity of product images uploaded by sellers. This helps maintain quality standards and prevents counterfeit items from being listed, enhancing buyer trust and reducing returns.

Social Media Content Moderation: Social media companies can implement this function to review user-uploaded images and detect manipulated or misleading content. By classifying these images, platforms can enforce community guidelines and reduce the spread of misinformation or harmful content.

Insurance Claim Validation: Insurance companies can use the image classification function to verify images submitted with claims, ensuring they are not altered or fabricated. This can improve the claims process's efficiency and reduce fraudulent payouts, benefitting both the insurer and the insured.

Academic Integrity Monitoring: Educational institutions can leverage this technology to detect false image submissions in assignments and examinations, like edited verification documents or altered test papers. This helps uphold academic integrity and ensures fair evaluation among students.

Art Authenticity Assessment: Art galleries and auction houses can utilize this classification function to ascertain the authenticity of images associated with artworks. This safeguards against forgery and enhances the credibility of the artworks being sold, ultimately protecting both buyers and sellers.

Automotive Industry Vehicle History Validation: Car dealerships and buyers can implement this technology to verify the authenticity of vehicle history documents that include images of odometers and service records. This helps prevent odometer fraud and misrepresentation, fostering trust in the vehicle purchasing process.

Identify level type using AI

API Access

How this classifier works

Need to identify level type at scale?