EtherScore
WebsiteAppTwitterDiscordLensSnapshot
  • Overview
  • Documentation
    • ❓What's EtherScore?
    • πŸŽ–οΈEtherScore Badges
    • πŸͺͺEtherScore Profiles
    • πŸ₯‡Reputation Tiers
    • πŸ›οΈEtherScore DAO
      • 🌱Alpha Version
      • 🌳Beta version
      • βž•Benefits of Reputation-Based Governance
      • βž–Limits of Reputation-Based Governance
    • πŸ†Badge benefits
    • 🏭EtherScore Badge Factory
    • πŸ›€οΈRoadmap
  • FAQ (FOR USERS)
    • πŸŽ–οΈHow to claim badges?
    • πŸ†How to claim Discord roles?
    • πŸ“œHow to vote in EtherScore DAO?
    • ✍️How to propose badges to the DAO?
  • FAQ (FOR BUILDERS)
    • πŸ› οΈHow to create badges?
    • πŸ—οΈHow to build on top?
      • πŸ”’Token-gate your community (Discord/Collab.land)
    • πŸ§‘β€πŸŽ¨How to integrate EtherScore Profiles?
  • Others
    • πŸ”—Useful links
    • ℹ️Contract addresses
    • 🎨Brand kit
  • More readings
    • Introduction
    • πŸ”Problem statement
      • Data analytics access
      • Absence of reputation system
    • πŸ’‘Reputations in Web3
Powered by GitBook
On this page
  1. More readings
  2. Problem statement

Data analytics access

PreviousProblem statementNextAbsence of reputation system

Last updated 10 months ago

Decentralized applications have started to flourish in many fields, however the use of on-chain data remains limited. Most is used for front-end informative purposes in wallets or websites providing stats about Dapps such as or . Other usage of analyzing on-chain data currently are market intelligence providers (, , ), and entities offering KYC/AML services (such as , , or ). Many academic researchers are also working in the blockchain analytics field, i.e. executing off-chain computations to extract information from blocks and transactions. Academic research mainly concerns specific data use cases (notably the study of blockchains’ network usage, node distribution etc.).

As the list above demonstrates, on-chain data analytics is silo-ed and underemployed. However, databases have been becoming less private thanks to data indexers like The Graph Protocol and Covalent, allowing the blockchain ecosystem to get access to well indexed, suitable data about blocks and transactions.

Numerous use cases can benefit from the availability of such data. Indeed, thanks to those indexers it is much more convenient to analyze the user activity and experience of a blockchain. Indexing is much more powerful than blockchain explorers, which can only be used to check for an address history through its own transactions. Data indexers bring the capability of querying the data while looking for specific patterns.

With the progress of many blockchains, a multi-chain ecosystem is currently surfacing in which users can have cryptocurrencies in several chains. Wallets and many Dapps are transitioning toward this path and users now have access to some aggregated views (such as ). However someone can note that there is only a small amount of accessible information such as token balances and cumbersome transaction lists. There are some existing platforms which are currently working on the social aspect of blockchains and the users identity but there is clearly a lack of usage, composability, and data. The more ledgers & wallets are appearing the more the need for user identification becomes preponderant.

πŸ”
info.Uniswap
DeFiPulse
Glassnode
Messari
Coinmetrics
CipherTrace
Chainalysis
CoinFirm
Zapper.fi