@Walrus 🦭/acc #Walrus In a significant development for onchain infrastructure and data transparency, Space and Time, a blockchain designed to bring verifiable SQL-powered analytics to decentralized systems, has partnered with decentralized storage protocol Walrus to launch Walrus Explorer — a real-time insights dashboard aimed at developers and operators building on Web3 stacks. This collaboration enhances the visibility, reliability and performance monitoring of the Walrus data layer, providing tools that were previously unavailable in decentralized storage environments.
The announcement, made on August 20, 2025, outlines how Walrus Explorer combines Space and Time’s zero-knowledge (ZK)-verified query technology with Walrus’s decentralized data infrastructure to produce a trustless, transparent monitoring platform for decentralized data operations. The dashboard surfaces granular real-time analytics, including upload, read and write activity for individual data blobs, node reliability, operator behavior, shard distribution, latency and more — effectively functioning as a network operations center for the Walrus ecosystem.
A New Layer of Transparency for Decentralized Data
Traditionally, decentralized storage systems, while resilient and censorship-resistant, have lacked robust dashboards that allow network participants to observe operational metrics in real time. The partnership between Space and Time and Walrus fills this gap by enabling:
Trustless query and analytics: Developers can run verifiable SQL-style queries against live Walrus network data with cryptographic guarantees.
Usage insights: Metrics on how storage operators are performing, trends in data usage, and system health are now accessible in an easy-to-navigate interface.
Protocol monitoring: From latency measurements to data availability checks, the Explorer offers critical diagnostics that help developers optimize decentralized storage infrastructure.
According to the press release, this collaborative tool helps developers verify and optimize their decentralized data infrastructure without having to rely on external centralized monitoring services — a key advantage in Web3 where trust minimization remains paramount.
A Broader Vision for Onchain Data Pipelines
Beyond real-time insights, Space and Time and Walrus are also working together to build an integrated solution for onchain builders that unifies scalable decentralized storage with ZK-verified analytics. This combination allows developers to store large volumes of structured and unstructured data on Walrus while using Space and Time’s proof-based query engine to run verifiable aggregations, analytics and compliance checks — even enabling use cases such as DeFi compliance and tokenized real-world asset tracking.
Rebecca Simmonds, Managing Executive at the Walrus Foundation, highlighted that as onchain applications become more data intensive and complex, developers require visibility they can trust — a challenge this collaboration directly addresses. Scott Dykstra, CTO of the Space and Time Foundation, echoed this, emphasizing that combining Walrus’s storage layer with Space and Time’s verifiable database creates a comprehensive suite of data tools for developers to build next-generation, data-driven decentralized applications.
Strengthening the Web3 Ecosystem
This partnership builds upon recent integrations that aim to expand Walrus’s role as a foundational decentralized data layer in the emerging Web3 ecosystem, which includes collaborations with platforms like Nami Cloud and Pipe Network. By providing real-time monitoring, ZK-verified data querying and analytics, the Space and Time–Walrus alliance boosts confidence in decentralized storage networks while enabling developers to build more sophisticated, data-intensive applications onchain.
As decentralized networks continue to evolve, the need for trustless, transparent, scalable data tools will only grow — and this partnership represents an important step toward meeting that demand across sectors including decentralized finance, onchain compliance, and tokenized asset ecosystems.
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