Baselight Integrates Walrus to Monetize On-Chain Data
Baselight, built by Finisterra Labs, has partnered with Walrus to activate permissionless data stored on-chain. The integration converts Walrus-hosted blobs into structured, queryable, and monetizable datasets within Baselight’s unified platform, eliminating silos and fragmented analytics tools. Baselight’s SQL engine supports over 120 billion rows across 281,000 tables and 51,000 indexed datasets, spanning finance, AI, machine learning, research and sports analytics. Users can deploy AI agents and custom models for autonomous workflows and real-time analysis. By streamlining permissionless data discovery, analytics and monetization, the integration paves the way for a new data economy. With Walrus’s decentralized data layer and Quilt batching system, large and small files gain cost-efficient availability, while features like token-gated queries, time-locked permissions and DAO-controlled licensing enable dynamic access models. Rebecca Simmonds from Walrus Foundation highlights that “datasets stored on Walrus can become active, mixable, and monetizable assets.” Henrique Moniz, CEO of Finisterra Labs, adds that “this partnership lays the groundwork for intelligent systems and global-scale collaboration powered by open data.” The collaboration follows Walrus’s recent integrations with OpenGradient and Space and Time, advancing its role in decentralized AI infrastructure.
Bullish
The Baselight–Walrus partnership strengthens on-chain data infrastructure by transforming raw blobs into structured, queryable and monetizable datasets. Similar to Chainlink’s oracle integrations and Covalent’s indexing expansions, this collaboration enhances utility and drives adoption of decentralized data solutions. Traders may see minimal short-term price movement, but the innovation supports long-term growth in data-driven DeFi and AI applications, likely increasing demand for underlying infrastructure tokens such as SUI. Overall, the integration signals a bullish outlook by fostering a permissionless data economy and improving market efficiency.