Determining whether a protocol has real value doesn't depend on how fancy it sounds, but on whether it is genuinely driven by real business needs. The most common pitfall for infrastructure projects is just talk—beautiful interfaces to die for, but data scales are virtually meaningless, and users only live within spreadsheets.

The more you look into the Walrus track, the more interesting it becomes. The core reason is straightforward: its "trustworthy data" is not just a slogan but is backed by a bunch of real projects using actual data volume and real business processes. More importantly, these projects span completely different fields—AI data pipelines, identity credentials, financial information, content socialization, and real-world device data—distributed across various tracks. Such diverse application scenarios make it hard to explain them as mere "short-term hype."

Focusing on the most fundamental infrastructure data. Projects like Chainbase are essentially doing data pipeline work: pulling raw data from over 220 blockchains, cleaning it, indexing it, and providing it for DeFi and AI applications. Their biggest challenge isn't "whether they can store it," but "whether they can ensure data integrity and traceability in a low-trust environment." Once this part fails, downstream risk control, modeling, and strategies all collapse.

The key point is that Walrus provided solid data in its official announcement on March 18, 2025: Chainbase has chosen Walrus as its storage layer to store raw data from over 220 blockchains, totaling 300TB of datasets, integrated into its data stream framework Manuscript. This is not future planning but an ongoing reality.