Nval

Nval has presented 1 V-Sum technical briefing. NVAL demos pricing infrastructure for illiquid assets, starting with NFTs. Using AI and on-chain data feeds, NVAL produces fair market values for NFTs in near real time — foundational for any financial workflow (lending, borrowing, insuring, trading) on non-fungible assets that have no spot price. NVAL sits as an analytics layer between blockchains (L1s, L2s, cross-chain) and the industries building on top (gaming, sports, trade finance, accounting, lending). Mark (CTO) walks through the REST API documented with OpenAPI: a "try it out" docs UI, a Postman collection, and a CLI all return the same price prediction for a specific NFT (the demo values a Doodle at 3.3 ETH with 96% confidence, sitting between the listed price of 4.2 ETH and the highest offer of 2.8 ETH). A Chrome extension surfaces NVAL prices on OpenSea pages, and the NVAL web app shows floor price, listed price, and price history against actual trade prints. The price-history endpoint returns 52 weekly data points across a year (configurable daily). Feature importance breaks down what drives price — 96% market action for a Doodle, 72% market action + 30% accessory-trait for a CryptoPunk — giving traders a way to understand why NVAL priced an NFT where it did.

Topics: Capital Markets, Investing & Trading, NFTs