Watchers is Live Now!

Abstract

Watchers is the first application supported by the 0xScope Knowledge Graph protocol: A on-chain Crunchbase.Unlike other data analytics platforms, we extract the entities behind the address and analyze them on this new data layer. As a result, Watchers will have full information and powerful address penetration capabilities to clearly delineate the deeper structure, behavior, and relationships of the web3 network.

Over the past six months, we’ve worked with over 1,000 investment managers and over 40 investment institutions to continue refining and iterative our product, introducing a number of exciting features such as address clustering, token/project penetration, and thematic data dashboard.

Today, we are excited to announce the official launch of Watchers! Three important new features are also introduced: Customizing Entities, Check Entity Dashboard and Watchlist, and Customizing Entities Alerts.

From 08-22-2022 to 09-07-2022, all features will be completely free. Click on the link below to quickly onboarding our product features and community:
https://linktr.ee/scopeprotocol
Connect your wallet and start exploring Watchers!

This article will introduce Watchers from the following aspects:

  • Technical Logic and Business Architecture

A brief review of 0xScope’s technology roadmap will help you better understand Watchers’ product architecture and implementation logic.

  • Core features and User tutorial

We have prepared a series of how-to tutorials to help you quickly understand how to use each feature and what makes it unique from other data analytics platforms. We will continue to update this section and look forward to your contributions!

  • Specific use cases and scenarios

We’ll choose three scenarios to show you how to use Watchers to better seek the truth from a physical level, including Enhanced Due Diligence, Industry Analysis, Market and User Insights, Transaction Data Monitoring, Hacker Tracking, and Risk Control……

Technical logic and business architecture

The 0xScope Protocol consists of these aspects:

Data source: 0xScope Protocol is the first Web3 Knowledge Graph protocol, which integrates Web3/Web2 data into a new data layer based on semantic structure, and provides a powerful data source for Web3 applications through distributed nodes and databases.

Data governance layer: We use a set of weight clustering algorithms based on graphs processing and deep learning to group addresses that are highly related to a specific address (EOA) into an entity to form an address cluster map. Multiple entities build user portrait diagrams and project relationship diagrams. Together, these three diagrams form our unique, new data layer.

Application layer: Watchers is our first product developed based on 0xScope. We are first based on a new dimension of data analytics — entities, providing tools such as address collection, project entity data analytics, personalized entity behavior monitoring, etc.; and based on user portrait diagrams, selected different tags and scenarios, providing a powerful on-chain data panel (including VC/whale/risk entity tracking).

Algorithm layer: Based on semantic data sets such as user portraits, we can develop various algorithms more efficiently including address monitoring, anti-money laundering, accurate user recommendation, and other scenarios.

I believe that through a brief review of the technology map, you have understood Watchers from a high level, which is the basis for our further in-depth exploration. Next, we will follow the corresponding logic, introduce you to the core functions of the project, and use a series of cases to show you how we use Watchers to better “search for truth”.

Core Feature and what can you get from them?

Why Address Clustering?

Address clustering is the starting point for all of Watchers’ capabilities: Using the weight clustering algorithm based on graph processing and deep learning, 0xScope groups a set of addresses that are highly correlated with a particular address (EOA) into an entity. The rich identity data and behavioral data of the addresses are used to develop several user portraits based on the address clustering graph. All features all based on this powerful application.

Watchers has two major features:

  • Dashboard
  • Tools

Tools based on Entity

Address Clustering: Watchers support clustering different addresses into one entity based on inputs and confidence levels. Thus serve the data analysis based on Entity.

Token/Project Analysis: Watchers have two strong weapons for their project and token dashboard: analyze user data based on entity and the most accurate token distribution data based on the address penetration graph.

Flash Research: Support users search address/project/token at one-stop, and automatically fill the related entity information based on the address clustering algorithm.

Entity Data Dashboard

VC Watch: A dashboard dedicated to analyzing entity data related to venture capital, investment funds, and other investment institutions.

Token Whale Watch: A dashboard dedicated to analyzing the data of the top holders of a particular Token. A single address/a single entity/all addresses that can monitor a token (currently supporting the top 100 Ethereum tokens) holding more than 0.1% of the circulating supply

Notable Entity Tracker: Centrally display the Notable organization, developer, or investor’s Entity information, including all the controlled addresses and the latest transactions.

High-risk Entities Watch: It integrates the stolen funds and rug pull addresses of historical hacking events to make it easier for users to view the relevant Entities.

Custom Entity Monitor Setup

We bring you 3 new features this time, users can customize monitoring entities to a maximum, including creating an Entity Group, Entity Dashboard, and Entity Custom Alert (such as Transaction and Positions).

Click here on how to use this:

https://medium.com/@0xscope_labs/watchers-guide-entity-dashboard-alerts-71bf401afc5f

Specific use cases and usage scenarios

With 0xScope’s toolbox and data dashboard based on entity analysis capabilities, what features can industry practitioners and analysts use to achieve what was once impossible?

We’ll show you how to use Watchers to better seek the truth on an entity level in the following scenarios, including:

1. User insights: What is the real user portrait behind multiple addresses?

As shown in the figure, A has three addresses. Address 1 is bound to its social relationship on A Web3 product, address 2 is the Treasury multi-signature administrator of an NFT DAO, and address 3 is marked as A Mask owner. The 0xScope protocol associates the relationships between the three addresses and displays them clearly on Watchers. When users query such data, they can build A more complete user portrait of user A, based on which we can develop social recommendation algorithms and truly release the amazing potential of the Web3 open source paradigm.

2. Enhanced Due Diligence: What other projects have the project founders done? Which contracts have been deployed? Which entities are closely related?

Based on Watchers, you can observe how it relates to other projects by looking up the project founder or project contract deployer. Take the famous Defi OG AC as an example:

Here we can clearly see that as the founder and deployer of Yearn, AC has also deployed many Yearn Vaults. We can also see that there are no other EOA addresses in the AC address entity graph, indicating that what AC did on Ethereum is very open and transparent.

Next, let’s explore the well-known DEX project UNI. When we are in the UNI token interface, we can easily search for the address of its deployer: 0x41653c7d61609d856f29355e404f310ec4142cfb

Click the Deployer link in the upper right corner and Watchers will automatically jump to the detailed page of the UNI deployer address.

Entering the Address Entity Graph interface of the address details page, we can see that UNI Token Deployer is also associated with a large number of addresses, and we can further explore other behaviors of these first-level penetration addresses by clicking…

Go and try it! You can share any of your findings with us! (recruit)

3. Market Insights: How to calculate the real number of users of a project? How to check if the NFT project has a large number of Wash Trading?

We all know that since on-chain addresses are created without thresholds and permissions, the number of addresses interacting with the project contract does not actually reflect the real “number of users” of the project, and Scope’s entity-based analysis solves this problem. For each project, we first calculate the number of addresses it interacts with and then performs entity clustering on all addresses to calculate how many entities control these addresses.

Take Uniswap and Suhiswap for example:

In our project dashboard, you can clearly see the number of users and entities of the project, and in general, the difference between the addresses interacting with Uniswap and Sushiswap and the number of actual users is not large — about 85% of the addresses are behind a real user.

However, this is not the norm. An important application of Watchers is to screen the Wash Trading behavior of NFT projects. At present, our monitoring of NFT projects is still under development. Soon users will be able to view on Watchers’ platform: how much of an NFT project transaction volume is purchased spontaneously by users, and how much is wash-trading by devs. Real and reliable transaction data will allow us to touch on the real potential of the project and make the most informed investment decisions.

4. Whale’s false identity: Is big volume trade really what it looks like? If monitored as a whole, what’s their complete operation logic?

In trading markets, the on-chain behavior of institutions is a real gold mine. However, organizations often fight in groups, and almost all blockchain browsers do data statistics based on a single address: for example, here is a map of the related address of an LDO whale, with some of the other tools such as unusual activity analysis, we can easily track whales, imagine when a whale claiming he’s buying in using the main address on Twitter and sell out using the other address.

Watchers Explorer Assemble!

I believe from the above examples, you have understood that when we master this new dimension of data analysis, it can bring about profound changes in the future of data analysis. We’re excited to invite you to explore with us!

We can also explore…

  • Hacker Tracing and Risk Control Backtracking: How to Find the Hacker’s True Identity through Secret Clues? How to quickly find other strongly related addresses with the same risk at the same time as one risky address?
  • Industry Analysis: How do you count real users within an ecosystem? How well do users of similar ecologies fit? How to predict the future course of ecological migration?
  • Market Insight: How do you calculate the true number of users for a project? How much of DEX’s trading volume is fake?
  • User Insight: What does the complete user portrait look like behind the multiple addresses? How do you cross-analyze different projects based on the complete user profile?
  • Social Network Analysis: Collusion of Interest Groups Masked by Anonymous Society? Nepotism among rookies in the program?

In the coming months, we will host multiple AMAs with the community to demonstrate how to use Watchers, showing you more scenario use cases and the amazing creativity of the community.

0xScope & Watchers are forming an army to reveal deeper crypto truths and travel through the dark forest together! If you are interested in exploring the product and discovering more use cases, please join us——Write For Us!

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0xScope Labs

0xScope Labs

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First-ever Web3 Knowledge Graph Protocol. Seek the truth from deeper facts.