Stolen Art Search
Search for NFT images and receive an authenticity report based on 93.4% assertive algorithms.
Last updated
Search for NFT images and receive an authenticity report based on 93.4% assertive algorithms.
Last updated
One of the main challenges in investing in NFT art is ensuring its authenticity. Often, new collections follow popular market trends, such as the walking GIF format of Invisible Friends, the pixelation used by Moonbirds, or the quirky style of goblintown.wtf. Moreover, some NFT art may reference WEB2, which reduces its exclusivity. Unfortunately, many investors fall prey to scams and unknowingly purchase stolen art.
To address this problem, Plenty Tools has developed an AI-powered research robot that can compare an image with thousands of entries in Internet databases, helping users verify the legitimacy of an NFT art piece.
For instance, imagine a scenario where a new NFT project with an attractive artwork is launched, and everyone is excited about investing in it. However, upon closer inspection, it turns out that the artwork was copied from an existing NFT collection on the Solana network. To avoid such scams, users can upload the image to Plenty Tools and receive a comprehensive report on its authenticity, as well as any similar references found on the web.