There are dozens of tools on the market today that enable NFT traders, investors, creators, collectors and enthusiasts to track data about projects. In this list, we’ve compiled the top tools to understand NFT pricing, trading activity, overall market conditions and portfolio management. By using a combination of tools, you can make data-informed decisions to mitigate some of the risk in this volatile market.
1. Etherscan
Etherscan is a blockchain browser that allows users to view the details of any transaction on Ethereum in real time. It also provides a token tracker for any Ethereum-based token and provides access to all ERC-721 token contracts.
Token tracker is an important entry point to understand the blockchain and all token transactions happening in real time and all historical transactions.
ERC-721 is a standard for building NFTs on Ethereum. As of November 17, Etherscan has 170,681 ERC-721-compatible token records. More information is available on the Etherscan page, including links to the official website, links to the protocol, and the ability to track the full history of NFT transactions, allocations, transfers, and prices.
Main features:
Several common use cases:
2. Footprint Analytics
Footprint Analytics is an analytics tool that covers 14 major NFT trading markets on EVM-compatible public chains such as Ethereum, Polygon and BNB Chain. It also parses non-EVM compatible public chains such as Solana, Flow, Immutable, and WAX.
In addition, it also provides wash trade filtering, making it easy for developers and traders to filter suspicious trades from NFT trades and get accurate trade data to analyze the organic market.
Previously, developers had to integrate as well as process data from several vendors and convert all these different sources of transaction information into meaningful data. Now, Footprint Analytics categorizes millions of daily transactions across chains into logical categories that can be further aggregated into cross-chain metrics, such as user portrait, NFT floor prices, and market cap.
Main features:
Use Cases:
Here is an example of how these metrics can help NFT traders make more intelligent decisions. (Note: All these metrics are available for developers to plug into their platforms and UI with the Footprint Data API.)
3. Dune
Dune indexes 4 blockchains and 12 NFT marketplaces, and it allows non-technical people to easily query dashboards created by different analysts.
The project runs on PostgreSQL 12.2 and requires some SQL experience to convert the data on the chain you want to access into easy-to-read charts.
Main features:
Use Cases:
4. Nansen
Nansen analyzes more than 50 million wallets marked as Ethereum and their activity. It is a general-purpose analytics tool aimed directly at professional investors and traders.
The main modules of its NFT analysis tool are: NFT Index, Smart Money, Project Analyzer, Rarity Analyzer, GOD Mode, and NFT Paradise.
Main features:
Use Cases:
5. NFTGo
NFTGo is a data aggregation platform for Web3, NFT and gaming with real time global NFT market data. There are 4,231 collections listed and 36,948,157 NFTs in total.
The main functions are:
It wants users to improve the NFT ecosystem in terms of assessing the value of NFT projects and assets, helping to make informed investment decisions, tracking and identifying and screening quality projects, etc. It provides users with a variety of data services to help them gain more advantages in the market.
Main features:
Use Cases:
6. DappRadar
DappRadar is a feature-rich analytics tool that is perfect for experienced and new NFT investors. It has a ranked list of dApps that can be accessed for free. And a segmented display shows key features such as Hot Topics, NFT, DeFi, Games, Exchanges, etc.
Users can seamlessly analyze, track and discover new items in the NFT sector and monitor the assets they acquire through the portfolio tracker. The feature includes NFT Hot Sells, Top Collections, Marketplace, Top Score NFTs and more, guiding users through the number of trades, volume and price changes in the market for more than 15 minutes.
Main features:
Use Cases:
7. rarity.tools
rarity.tools is a tool that ranks and scores information about the rarity of NFTs. With this information, NFT collectors can more easily evaluate and compare the relative value of individual NFTs. Each feature of an individual NFT is assigned a rarity score, and the rarity scores for all features are then added together to calculate a digital asset’s overall rarity score.
Main features:
Use Cases:
Rarity.tools can be used to see which features and elements are the most valuable in a collection. For example, CryptoPunks places a lot of emphasis on the "attribute count" of each NFT, which is why the only CryptoPunk with 7 attributes is listed as the rarest.
Summary
While not every analysis tool on the list is specifically built for NFT trading, each provides its own indispensable use case for those in the NFT space. Together, they can help traders get a complete, data-informed picture of digital assets.
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