Nov. 2022, Vincy
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.
Etherscan — Trading Information
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.
Etherscan — Project Information
Main features:
Free access and ease of use
The ability to view any wallet, transaction, token or smart contract.
Support for all ERC-721 tokens.
Several common use cases:
Users can check the gas fees paid by yourself or other NFT buyers.
Etherscan
Verified official projects can be looked up through Etherscan. If you enter BAYC on the page, it will be identified by a blue marker.
The metadata of the token can also be looked up via Etherscan to ensure that the image associated with the NFT is stored on the chain. We need to get the link to the tokenURI on the contract’s page and convert it to metadata and NFT images using https://gateway.pinata.cloud/ipfs/.
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.
Footprint Analytics
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:
The ability to create NFT data indicator analysis templates without coding or technical requirements.
Freedom to switch tracking wallet addresses to view user portfolios and analyze the behavior of megawhale users.
Zero cost to embed NFT data to enrich your website content.
Quickly filter wash trade transactions to obtain organic data to accurately assess the authenticity of blue-chip projects.
Use Cases:
For quickly analyzing and comparing NFT projects, the Bingo NFT platform includes metrics like:
Total market cap
Trading volume
Buyer-seller volume
Market sentiment
Blue chip index
Potential NFT index
Wash trade index
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.)
In addition to being able to query dashboards from NFTs created by different analysts, you can also create your own NFT data tables or dashboards to continuously track more NFT behavioral activity.
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:
Open-source data, with user-created dashboards, query results, and editing code open to the public.
Allows users to build models according to their needs.
Unique embedding function to display the data results generated by Dune across platforms.
Use Cases:
Many analysts collect their own data and upload it to the Dune platform for analysis. As shown below, there are many types of NFT dashboards.
Taking “OpenSea Data” as an example, you can access real-time data and OpenSea daily on-chain data. However, to access the data at the bottom of each table, you need some to know SQL.
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:
More expensive, enterprise-focused tool
Extensive, pre-built data displays which allow fast, easy access but a lack of customization
Use Cases:
One common use case is to find which addresses have been active in the last 24 hours. You can do this by going to the Smart Money data panel and filtering First Mover LP and Staking. Using the Wallet Profiler, you can research the addresses and set up an on-chain smart alert for the active addresses in your time zone.
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:
Popular Collections
Data Analysis
Giant Whale Wallet Monitoring
Airdrop Information
NFT Category Breakdown
Research Reports
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:
Real-time data updates that help users to quickly capture target projects.
Currently supports access to Ethereum projects only.
A multi-dimensional ranking list of NFT-related metrics.
Use Cases:
A wide range of indicators can be viewed at NFTGo, a platform where you can quickly find the highest priced sold, recently sold, and recently pending NFT orders.
NFTGo marks addresses with $1 million or more in assets as whales. Trends in sales, transfers, minting and destruction of NFT can be observed on the following pages for the whales.
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:
Ranking dApp List
Portfolio and Wallet Tracker
NFT Value Estimator
No more granular metrics and fancy dashboards
Use Cases:
An intuitive interface for NFT rankings allows for a horizontal and vertical comparison of various indicators of traders, trading volume and prices.
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:
Rarity component scores provide a reference for NFT traders
Includes calculation formulas to compare the rarest features of different NFTs
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.
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.
Etherscan: Read smart contracts and metadata
Footprint Analytics: Create your own dashboards and analyze various NFT metrics
Dune: Create your own own dashboards with SQL
Nansen: Track wallets and set up on-chain smart alerts
NFTGo: Querying whale user activity and overall NFT market dashboards
DappRadar: Access real-time NFT charts easily
rarity.tools: Assess rarity scores for NFTs
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