RateXAI Labs, a leading AI-driven Web3 analytics firm, has introduced its Meta Scoring Engine, a platform designed to offer institutional-grade intelligence. The launch is aimed at providing traders, centralized exchanges (CEXs), venture capital firms (VCs), data engineers, and Web3 developers with actionable insights derived from blockchain and social data. By utilizing autonomous AI agents and conversational interfaces, the platform simplifies the analysis of vast data sets, streamlining decision-making processes in real time.
The company stated that the Meta Scoring Engine processes data from over 3 billion on-chain transactions, alongside the activities of 200 million wallets and billions of social media posts across major blockchain ecosystems like Ethereum, BNB Chain, TON, Solana, and Base. With more than 70 advanced metrics integrated into a single interface, users gain access to comprehensive evaluations of token performance, liquidity shifts, and significant wallet movements.
Bridging the Data Gap with AI
RateXAI Labs emphasized that the platform redefines how institutions and developers interact with blockchain data by introducing autonomous AI agents capable of delivering real-time insights. Without requiring specialized coding or engineering skills, users can derive actionable strategies as if supported by an around-the-clock research team. This development is expected to provide a substantial advantage in navigating the volatile digital asset market.
The company also highlighted the transparency, speed, and user-centric design of the Meta Scoring Engine. By incorporating natural language capabilities, users can pose queries regarding liquidity pools or assess risk exposure, receiving instant, data-backed responses. This approach is anticipated to lower entry barriers for organizations seeking to leverage blockchain intelligence without extensive technical expertise.
Flexible Access for Diverse Needs
RateXAI Labs has made the Meta Scoring Engine available under flexible software-as-a-service (SaaS) pricing models. Additionally, enterprise-level integration options are provided for large-scale projects, ensuring the platform can cater to varying business needs. Prospective users interested in exploring AI-powered analytics can schedule demos or arrange tailored consultations to experience the engine’s capabilities firsthand.
The initiative from RateXAI Labs is positioned to democratize blockchain intelligence, making sophisticated analytical tools accessible to a broader range of users. As the digital asset landscape evolves, solutions like the Meta Scoring Engine are likely to play a critical role in empowering informed decision-making across the Web3 ecosystem.
