CoinGecko acquires NFT data startup Zash
NFT data will be integrated into CoinGecko APIs in second quarter of 2024, having bought Zash for an undisclosed sum
Crypto data aggregator CoinGecko has acquired NFT data infrastructure and intelligence company Zash.
Zash is an on-chain NFT data analytics firm that collects data from over 1 million different NFT collections and marketplaces. It provides information on NFT metadata, historical trades, lending and also detects large-scale wash trades.
Originally founded by Parit Patel and Efe Surekli, London-headquartered Zash also covers information derived from 87 different blockchain networks, including Ethereum, Polygon, Binance Smart Chain and Solana, among others.
Its NFT data will be integrated into CoinGecko’s API by the second quarter of 2024. This will give users the ability to access various information on fungible and non-fungible token data.
Bobby Ong, founder and COO of Malaysia-based CoinGecko, told Blockworks that the company believes in a future where any asset that can be tokenized will be tokenized.
“On that note, we believe that NFTs will continue to innovate beyond PFPs, GameFi and unlock new opportunities and use-cases worldwide,” Ong said.
Ong noted that its acquisition of Zash will enable the company to become a one-stop comprehensive source for all cryptocurrency-related data. CoinGecko is mostly known for its price and market cap readouts.
TM Lee, the CEO and co-founder of CoinGecko, noted in a press release reviewed by Blockworks that the acquisition of Zash came after evaluating “all existing NFT data providers in the space.”
Zash stood out from the other providers for having built a marketplace product with a comprehensive data set in just three years,” Lee said.
“This acquisition aligns with our commitment and dedication to deliver exceptional value to the crypto community, starting with a unified token and NFT market data offering.”
The acquisition terms remain undisclosed.
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- CoinGecko
- data
- NFTs
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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