Blockchains are now a crucial part of our digital infrastructure. They are the place to create new financial assets, companies, and communities. However, to understand this new financial infrastructure we need blockchain data analytics.
Analysts and blockchain enthusiasts are now analyzing blockchain data and visualizing it to understand DApp and DeFi applications, but it’s not that straight forward.
Many companies in the market provide SQL-based query platforms that are difficult to start with because SQL is not easy. You need to join multiple tables, and understanding schema scattered across hundreds of tables is also challenging.
Sometimes these queries become so big; it’s difficult to understand, track and change them.
We already have GraphQL APIs, which are easy to understand and covers more than 30 blockchains. And you can try these APIs through our Bitquery IDE.
Our IDE is helpful for our users as they can create, save and share their queries quickly. Today, we have added another feature (in Beta), which will allow our users to visualize our API data on our IDE directly.
Introducing GraphQL Charting
Now you can write GraphQL queries and use charts to visualize the query result in our IDE directly. For example, check out this query, which is pulling Ethereum transactions since its inception and showing it in the charts.
Visualize more than 30 blockchains
Currently, we support more than 30 blockchains (Mainnet and testnets). With our charting feature, you can now visualize data for all of them. This will help many blockchain ecosystems that lack sophisticated tooling support like Etheruem or Bitcoin. For example, check this query, which helps visualize active addresses on the Conflux blockchain.
You can check more graphs here, here, and here.
Easy Query, Easy Charting
We have build Bitquery from scratch to pursue simplicity and scalability. If you never tried our APIs, please check it out. You will find them simple and easy to understand. This is also true when we are enabling charting for our users.
Our system automatically identifies the result data set and shows you only those charts possible with that result data set. Because of this, you will know ways data can be visualized and won’t miss anything.
This is just a beginning; we will introduce more charts and features and make Bitquery IDE one stop solution to query blockchain data for developers and data analysts.
Our IDE and the charting library is open source; you can find them here.
If you are a developer and want to help us build the most powerful blockchain query data infrastructure and tooling, join us, we are hiring.
If you have any questions or need help with your blockchain investigation, just hop on our Telegram channel. Also, let us know if you are looking for blockchain data APIs.
You might also be interested in:
- Create your first Blockchain GraphQL query
- Building a Blockchain Intelligence System
- Conditional Aggregation in GraphQL APIs
- How to use GraphQL Alias and Aggregation?
- Offline Dashboards | Client only Blockchain data visualization and tools
- Analyzing Decentralized Exchange using Bitquery Blockchain Explorer
Bitquery is a set of software tools that parse, index, access, search, and use information across blockchain networks in a unified way. Our products are:
- Coinpath® APIs provide blockchain money flow analysis for more than 24 blockchains. With Coinpath’s APIs, you can monitor blockchain transactions, investigate crypto crimes such as bitcoin money laundering, and create crypto forensics tools. Read this to get started with Coinpath®.
- Digital Assets API provides index information related to all major cryptocurrencies, coins, and tokens.
- DEX API provides real-time deposits and transactions, trades, and other related data on different DEX protocols like Uniswap, Kyber Network, Airswap, Matching Network, etc.
If you have any questions about our products, ask them on our Telegram channel or email us at email@example.com. Also, subscribe to our newsletter below, we will keep you updated with the latest in the cryptocurrency world.