Find counterfeit NFTs w/file upload

Analyzes the input image passed with file and returns duplicates (i.e. counterfeits) against it. Uses state of the art computer vision AI to match the input image against all ETH & Polygon NFT images in our database and returns duplicates which pass the threshold.

Supported file formats: JPG, JPEG, PNG, PPM, BMP, PGM, TIF, TIFF, WebP.

Useful for:

  • Increase customer trust and lower fraud - enable users to see if an NFT is unique or already minted/sold somewhere else by showing information on existing duplicate NFTs.
  • Credit and protect creators - build processes that defend against IP theft and/or credit the original authors when their work has been used in similar NFTs.
  • Enable and attract large IP holders (e.g. Disney) to upload content as NFTs by ensuring automatic copyright protection (similar to YouTube's Content ID).
  • Finding original owner - find the NFT owner simply with the NFT image.

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Query Params
integer
≥ 1
Defaults to 1

The page number of the results to return. The first page is 1.

integer
1 to 50
Defaults to 50

The number of results returned per page. Limit can range between 1 and 50, and the default is 50.

number
0.1 to 1
Defaults to 0.9

Threshold for classifying an NFT as a counterfeit.

string

NFTs from this contract address will be filtered out. Useful for examples where the whole NFT collection is visually very similar e.g. CryptoPunks.

Body Params
file
required

Input image which will be analyzed to find duplicates. Supports .JPG, .JPEG, .PNG, .WebP, .PPM, .BMP, .PGM, .TIF, .TIFF, file formats.

Response

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