How does Tensor estimate prices for an NFT?
As a NFT junkie, hodler, or trader, knowing roughly how much a particular NFT mint is super important.
We do this implicitly when we go to our favorite marketplace and look at what's listed: we take into account the current floor price, the recent sales transactions, the attributes/traits, and the rarity of the NFT to come up with our magic number.
Another heuristic is to assume all NFTs of a collection is at least the current floor price: but what if you'd like to know the approximate price of non-floor mints?
You could then use these prices to determine the value of collateral in NFT loans (as a lender or borrower), if listings are underpriced/overpriced, or the true value of your NFT portfolio.
Introducing Tensor's NFT price estimates & appraisals. We use state-of-the-art ML/AI models to estimate NFT prices in real-time. We've done this professionally for years in the traditional equity & stock space, and are now applying our data science & modeling know-how to NFT pricing.
We take into account many data points, including (but not limited to) the NFT's traits, rarity, and historical bids, listings & sales transactions from the vast majority of secondary marketplaces.
You can see how our models compare with other price estimators on our performance page:
We're constantly refining our models: expect that our performance & accuracy will only improve over time!
Check out our REST API endpoint to retrieve both historical and recent estimated prices for the collections we track both on Solana and Ethereum: