Moonstream Introduces Analytics 2.0: Empowering Blockchain Game Designers, Developers, and Marketers with Self-Serve Web3 Analytics

Moonstream is thrilled to announce the debut of self-serve web3 analytics, catering to blockchain game designers, developers, and marketers. The platform enables users to create subscriptions to regular wallet addresses and smart contracts, gather actionable data, execute data queries, and export results in JSON format for further utilization.

Analytics 2.0, a highly dependable web3 analytics solution, operates on Moonstream’s proprietary nodes, rendering it more reliable than comparable tools like Etherscan or Polygonscan.

Through Analytics 2.0, users gain real-time insights into smart contract activities on both mainnets for live operations and game optimization, as well as testnets for quality assurance purposes. Notably, Moonstream includes testnet support with all its products, distinguishing it from most other tools available in the market.

Moonstream currently supports multiple EVM-based blockchains, including Ethereum, Polygon, Polygon Mumbai testnet, and the Gnosis Chain. However, the platform is flexible and can accommodate additional EVM chain integrations such as Arbitrum or Optimism upon request, with an implementation time of a few days.

Harnessing On-Chain Data to Drive Web3 Game Economies

The primary objective of Analytics 2.0 is to influence and manage web3 game economies effectively. By harnessing on-chain data, users can leverage the following capabilities:

Establish loyalty programs and reputation systems.

Anticipate changes in token supply and price within an economy.

Analyze competitors and attract high-value users from competing economies.

Enhance the security of smart contracts.

Moonstream’s analytics can be utilized without directly connecting a crypto wallet. Users can simply sign up for a Moonstream account using a username, email, and password to commence their journey. Detailed instructions on utilizing Analytics 2.0 can be found in the accompanying blog post.

During its initial launch, Analytics 2.0 is available free of charge; however, it will transition to a paid model by the end of the year.