Who Identifies High Quality Useful Data on the Graph?

Who Identifies High Quality Useful Data on the Graph?

Who Identifies High Quality Useful Data on the Graph?

Curators identify high-quality, useful data on the graph. GRT holders can now delegate their tokens to an indexer to help secure the network. For doing so, they receive a portion of query fees and indexing rewards.

Identifying high-quality, valuable data on the Graph is a difficult task. Several roles may be responsible for this. These roles include Network participants, Indexers, and Curators. Indexers identify and categorize high-quality data, whereas Curators create and curate relevant and valuable data to the community.


Graph curation increases the quantity of good data on a graph. By signaling on a subgraph that contains high-quality data, curators can increase the probability that their curation signal will be acted upon. In addition to signaling, curators can also choose to signal on a subgraph based on its network stats. This can be useful in determining the size of query fees as well.

Curators are community members who identify high-quality, valuable data on a graph. Curators are rewarded with GRT tokens that they deposit on the Graph’s bonding curve. Graph curation has several essential benefits. First, it encourages people to share information and participate in curation. This mechanism encourages the creation of high-quality subgraphs, which will be useful to the network.

To contribute to the success of the Graph, curators must understand the metrics available in The Graph Explorer. Then, they should assess if a subgraph is worth signaling. For example, curators can check if there are any changes made in the Graph since the last signal. A successful signal may result in a curation tax of up to 1%. Curators can also subscribe to the latest version of a subgraph. Performing this action on the Graph is an on-chain action and requires gas.

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Data curators monitor the data sets they curate. They make sure that data is accurate and valuable and used for the intended purpose. Data curators must constantly be aware of what their data is doing, and they must document their activities with metadata. They are similar to museum curators, except that they are more concerned with the overall domain of information than individual pieces. The work of data curators is significant, so finding a job you love is crucial.

The Graph introduced ten billion GRT in 2020. The first few curators made massive profits, but those who were later could create more valuable data and thus increase the quality of the Graph. Curators should be wary of upgrading the subgraph too often because the data quality is essential. In addition to improving the graph quality, they can earn indexer fees by lending or burning GRT.

Network participants

Graph uses a bonding curve to issue shares of “curation.” The Graph’s Curators identify subgraphs of high-quality, helpful information and signal them to Indexers. Indexers then make these subgraphs more attractive to other users by highlighting them. This mechanism encourages the community to identify high-quality subgraphs and reward the Curators accordingly. After the indexers have identified valuable subgraphs, the Curators can share their reward with other community members.


A successful Indexer will have a high percentage of high-quality valuable data on the Graph. This is called a reward cut. This will also be the percentage indexers take from every delegator’s reward. This is very important because not all Indexers are equally profitable. To choose the most profitable Indexer, you should understand the reward cut and how it is calculated. Moreover, you should know how to identify a dubious Indexer.

An Indexer can only be selected once a Consumer has approved the contract on Metamask. Consumers can query data within a subgraph and pay for it in GRT. The Graph uses payment channels for transactions, ensuring that consumers can dispute the results of an Indexer. The Graph also allows consumers to manage delegations within the network. There are several ways to delegate tasks. You can choose to delegate a particular task or data to another Indexer.

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An indexer is a node operator on The Graph. An indexer earns GRT tokens by operating a Graph node. Indexers earn rewards for indexing subgraphs and fees for serving queries. They compete with other indexers in the network and charge customers based on their services. This system ensures data integrity and makes data querying fast and efficient. It relies on the various roles of the participants on the network – Indexers, Curators, and Delegators.

The Graph Explorer is an open-source network analysis tool. The community of indexers and delegates has grown to over 8091 delegators, 157 indexers, and 2322 Curators. Additionally, over 23,000 developers have built subgraphs to use with applications. With the help of Graph Explorer, we can discover the value of a network. And with the help of this tool, we can create better tools for our users.

Delegators contribute to the network’s security by signaling subgraphs for indexing. They earn a share of the reward and the queries from other indexers proportionate to their popularity. Delegators are the ones who delegate GRT tokens to Indexers. They do not have to be technical or have a deep knowledge of graph algorithms to become an indexer. They can also unsubscribe from the indexers’ Graph Nodes with a single click.


Graph curation is an essential tool for graph creators. Users can use internal graph links to identify high-quality, valuable data. These links indicate that a user knows a lot about a topic and can significantly help other graph creators. In addition, curation can also be done with the help of other APIs. Using this tool, graph creators can build a graph of data that is useful to the world.

The Graph is a decentralized data layer on top of Ethereum that makes blockchains searchable and accessible to all. It has made it easy for developers to build Decentralized Applications (dApps) on Ethereum and other networks. GraphIn addition, graphlopers can use it to make their applications more useful and efficient. Once a user has identified a graph with useful data, they can add the information they want to it with a few clicks of their mouse.

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