User experience optimization for The Graph, from The browser and The subgraph studio

The data economy, today's largest economy, is responsible for the export of value. However, the data economy now faces a serious risk of centralisation. A series of work such as data collection and collation are processed by the centralized platform, which leads to the non-openness, opacity and unfairness of the data, and also makes the users at the receiving end of the data bear a high risk of information deviation.

Blockchain technology solves the risk of centralization. Although the data is open, transparent and fair, it is indispensable to filter, process and present the data in order to produce higher value.

The Graph, as an on-chain data middleware, enhances The availability of on-chain data by several dimensions, and its curation of data in The form of a free market is a key step towards The decentralized data economy of Web3.0.

Token Curated Registries using Game Theory

In the Web2.0 world, everything that information recipients see is filtered by centralized organizations, such as recommendation rankings, search engine ranking, which we often use, you don't know the fairness of the rankings, and users are forced to trust the fairness of the information curated by organizations. At the same time, organizations have the right to add and subtract information at will and control the use of various algorithms, leaving users with no control over the fairness of the information they receive.

On The Graph's network, anyone can publish open data apis called subgraphs, which can be accessed by developers or decentralized applications using The GRAPHQL language.

So how to screen and present the best quality data in the most efficient and transparent way? The Token Curated Registries scheme, which makes good use of game theory, solves this problem perfectly. In short, it ensures that individual interests are aligned with those of the majority of individuals in the system. As with bitcoin, the optimal strategy for miners is to be honest.

To make it easier to understand the token curation book, let's take a more specific example. Almost everyone pays attention to the ranking of the world's top universities, but the centralized institutions only choose the ranking that maximizes their own interests. For example, a British institution might favor Oxford and Cambridge from Britain, while an American institution might favor Harvard and Stanford. So how can token curation be used to optimize the quality and fairness of the list?

First, the token curatorial mechanism will include the curator and the respondent, who can be understood as the judge of the list, and the respondent, in this case, is a different school. Both the judges and the school are required to pledge a portion of their assets before the selection. Different judges can vote for or against a school's inclusion in the list. If a school does make the list, the assets pledged by the "no" voters are divided equally between the "no" and the "no" judges, but if the school does not make the list, the assets of the school and its supporters are divided equally between the "no" voters.

Thus, in the form of token thinning, we can solve the "Nothing at Stake" problem caused by the fact that participants are not responsible for their own actions in the information market, and at the same time motivate participants to screen out the best quality information.

In The Graph protocol, The curators pledge The Graph native token GRT to support The subgraph (which can be understood as The school in The example) that they believe will provide The highest quality and most reliable data. When these subgraphs are invoked, the curator will receive a percentage of the cost of using the subgraphs, while the curator will receive no income if they are not used.

To make it easier for curators, indexers, Subgraph developers, and other participants to interact with The Graph protocol, The Graph launched The Graph Browser and The Subgraph Studio.

Take you deeper into The Graph

Go to the Graph browser page and you can see different subgraphs of different protocols deployed by different developers. For curators or indexers, the Graph browser will tell you which subgraphs are the most popular and used, giving you a full view of the details of the different subgraphs before you pledge them. As a decentralized developer, the Graph browser provides subgraph information for different applications, and you can pull the subgraph data into the application protocol according to the requirements of the development function. As a principal, you can see information about different indexers in the Graph browser so that you can make delegating decisions.

We take the SushiSwap subgraph, which has been curated the most, as an example. Entering the subgraph, users can see all the detailed information about the subgraph, including: subgraph introduction, subgraph developer information, subgraph project link, query cost, and metadata such as deployment ID, API endpoint. The Graph browser provides users with a visual approach to The depths of The protocol, allowing users to understand everything about The Graph protocol more clearly, completely, and efficiently. SushiSwap's main network protocol subgraph, as shown above, was curated by 885 people, who pledged a total of 473,600 GRTS to it.

As of The time of writing, The Graph has 159 surveyors, 2,171 curators, and 7,147 trustees, a total of 18,000 subgraphs, and a total pledge of 3 billion GRT tokens.

Build your own subgraph seamlessly

Subgraph Studio is created for subgraph developers to test, create, and publish protocol subgraphs and to provide a user-friendly interface. As you can see, once in The Subgraph Studio, developers simply type in The relevant information to deploy The subgraph directly to The Graph protocol main network, and all subgraphs published through The subgraph Studio will appear in The Graph browser. Meanwhile, developers who need to query using subgraphs can recharge GRT tokens through gateways and payment channels and pay for subgraph queries.

Subgraph main network migration, complete decentralization of the protocol

Before The Graph mainnet went live, all The subgraphs were deployed on servers hosted by The founding team, and while this did not affect The normal query use of The subgraphs, moving The subgraphs to The decentralized mainnet had additional advantages. Needless to say, the main advantage of a decentralized network is that it avoids the risk of "single point of failure" when using data provided by the indexed network. When using open source apis, developers can experiment with innovation more efficiently. From a cost perspective, in The Graph mainnet, you only have to pay for The data queries you consume, while reducing The engineering overhead from redundant backend and retrieval work.

To reward early participants in The network, The Graph Foundation will award 685 GRT tokens and a developers-only POAP (Proof of Participation) NFT to developers who deploy subgraphs prior to The launch of The main network. Winners are encouraged to use their GRTS for subgraph curation.

As The Graph ecology has matured and grown, more and more teams have joined The Graph ecology. Streamingfast (formerly Dfuse) and Figment have recently joined The Graph ecosystem as separate core development teams, along with founding team Edge& Node, The Graph now has three core development teams, and strong technical support will make for a more successful protocol. In addition, with the launch of the Decentralized curation and the new Graph browser and subgraph Studio, the components of the decentralized web are now fully equipped to allow users to interact with the web openly and transparently. Fully decentralized protocols exhibit stronger network effects with the support of multiple technical teams. At The same time, The Graph is growing rapidly on its multi-link strategy, and now supports 24 underlying networks. We are looking forward to The wonderful performance of The Graph protocol in The blockchain universe.

On The Graph  

The Graph is The index and query layer for a decentralized network (Web3). Developers build and publish open apis, called subgraphs, that applications can query using GraphQL. The Graph currently supports indexing of data from 24 different networks, including Ethereum, Arbitrium, Avalanche, Celo, Fantom, Moonbeam, IPFS, and PoAa, with more to come. More than 18,000 subgraphs have been deployed on hosted services to date, and now subgraphs can be deployed directly on decentralized networks! Approximately 20,000 developers have built subgraphs for various applications such as Uniswap, Synthetix, Aragon, Gnosis, Balancer, Livepeer, DAOstack, AAVE, Decentraland, and more.

If you are an application or Web3 application developer, you can use subgraphs to index and query on-chain data. The Graph allows applications to efficiently present data in The UI, and allows other developers to use your subgraphs as well! You can deploy subgraphs or query existing subgraphs in the Graph Indexer. The Graph would like to welcome you as an indexer, curator, and/or trustee on The Graph's main web site. Join The Graph community by introducing yourself in The Graph Discord for technical discussions, join The Graph's Telegraph chat, or follow The Graph on Twitter. The Graph's developers and community members are always looking forward to chatting with you, and The Graph ecosystem has a growing community of developers who continue to support each other.                

The Graph Foundation oversees The Graph network. The Graph Foundation is overseen by The Technical committee. Edge&Node is one of many organizations within The Graph ecosystem.

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