Learn how OpenScan.AI redefines blockchain exploration with AI-powered smart contract decoding, behavior analysis, and predictive insights across multiple EVM chains. Discover the Explorer-as-a-Service model for networks, developers, and users.
High level overview of OpenScan.AI
OpenScan.AI comprises key components: the AI analysis engine, which decodes smart contracts, analyzes on-chain behavior, and surfaces predictive insights; the multi-chain indexing layer, which ingests and normalizes data from EVM-compatible L1s, rollups, testnets, and sidechains; and the explorer interface, a fast, localized front end backed by a Blockscout-compatible REST API v2 that developers can query without an API key. Together, they form the foundation of the OpenScan.AI explorer — already live in production for XDC Network at xdcscan.io, and supporting networks such as EVS, Wanchain, and Velas.
How traditional blockchain explorers operate today
Traditional block explorers, such as Blockscout and Routescan, present raw on-chain data as-is: transactions, addresses, and logs rendered with limited context. Interpreting what a contract actually does is left to the user, which demands deep technical expertise and slows down research, debugging, and due diligence. In comparison, OpenScan.AI layers AI-powered decoding and behavior analysis on top of the same data, turning raw transactions into understandable, actionable insight.
Challenges of multi-chain explorer infrastructure
Every new network that wants a quality explorer faces the same challenges: standing up indexing infrastructure, maintaining custom front ends, and keeping up with protocol upgrades — a costly, non-standardized process with a steep learning curve. OpenScan.AI addresses these challenges with its Explorer-as-a-Service (EaaS) model: a modular, open-source stack that can be deployed for any EVM-compatible chain, delivering a production-grade explorer with advanced analytics and multi-language localization in a fraction of the time and cost.