The native WAL token surged roughly 46% in 24 hours and 66% over seven days, touching $0.0616 on October 15. Daily trading volume exploded past $313 million—nearly double the token's $161 million market cap.
Driving the pump is a shifting narrative around AI data infrastructure: Walrus just rolled out a new developer-friendly storage platform, while the Sui Foundation committed $30 million to migrate a major AI training-data network to its ecosystem.
It's a compelling double-catalyst, though whether WAL can sustain these price levels once the initial excitement cools remains an open question.
Walrus Is Building Storage for Data That Needs Proof

Walrus is a decentralized storage network developed by engineers associated with Mysten Labs, the original contributor to Sui. It is designed for large files—known as blobs—including images, videos, documents, application data and AI model resources.
The basic problem Walrus wants to solve is not simply where a file is stored. Conventional cloud platforms already perform that job efficiently. Walrus focuses on whether data remains available, whether it has been altered and whether applications can manage its ownership and access rules programmatically.
The network uses Sui for coordination, payments and onchain ownership. Storage nodes hold the underlying files, while cryptographic proofs allow applications to verify data availability and integrity.
WAL sits inside that system as more than a governance asset. Storage capacity is purchased with WAL, delegated staking helps secure the network, and the token is involved in adjusting protocol parameters. Its long-term value proposition therefore depends on actual demand for storage and network security—not just attention surrounding the Sui ecosystem.
Walrus Console Makes the Network Easier to Use

The first catalyst arrived on October 7 with the launch of Walrus Console. Before Console, using decentralized storage could require developers to work with command-line tools, wallets, token balances and storage-renewal schedules. That may be manageable for crypto-native teams, but it creates unnecessary friction for conventional software and AI developers.
Walrus Console packages those tasks into a managed interface. Developers can upload and encrypt files, renew storage automatically and connect data to applications through API keys or the Model Context Protocol. The platform can also connect data and agent memory to tools such as Codex, Claude Code and Cursor.
Users receive 5GB of free storage during the launch period, and they can sign in without managing a wallet, WAL tokens or gas fees directly.
That last detail is important. Removing token-related friction could help Walrus attract users who would never interact with a decentralized storage protocol directly. It also complicates the investment story.
A Console user does not necessarily need to purchase WAL. The relevant question is whether growing Console usage causes the service or its infrastructure providers to acquire and spend more WAL behind the scenes. User growth alone does not prove that token demand is increasing at the same rate.
A $30 Million Deal Brings AI Training Data to Walrus

The second catalyst is potentially larger. On October 12, Sui Foundation announced a $30 million investment in DATA Network. The investment will make Sui Foundation the network’s largest institutional stakeholder, while DATA Network retires its independent blockchain and moves its protocol to Sui.
Walrus will become the default storage layer for applications operated by DATA Foundation.
DATA Network’s Trace product records the origin, permissions and licensing rights attached to AI training data. According to the announcement, Trace has registered more than 250 million data contributions since launching in June 2026 and processes more than three million receipts per day on average.
Walrus gives Trace somewhere to store encrypted reference copies of the original files. That allows an authorized buyer to check whether a dataset matches the version originally registered, instead of trusting metadata supplied by an application.
This is a more substantial use case than a partnership that only adds two project logos to a website. Trace already has activity, and Walrus has been designated as the default storage layer for DATA Foundation applications.
Still, the migration is not complete. DATA Network will continue operating its existing chain until the upgrade is ready, and a detailed timetable has not yet been published. Until data begins moving and generating measurable storage demand, the commercial effect on Walrus remains an expectation rather than a demonstrated result.
Walrus Is Finding a Niche in AI Memory

The DATA Network agreement is part of a wider attempt to position Walrus as infrastructure for AI systems that need persistent, verifiable memory.
Most AI agents do not automatically carry complete context between sessions. Project records, conversation history, deployment details and audit results may need to be stored separately and supplied again when the agent resumes work.
Matterhorn is using Walrus Memory as the default memory backend for its AI-assisted blockchain workflows. The integration allows project context and agent activity to persist across sessions while remaining tamper-evident.
Walrus is also being used outside the AI sector. Blockticity is extending more than one million authenticated trade records to the network. Those records represent over $7.7 billion in real-world assets, with more than 15TB of supporting data expected to be mirrored onto Walrus.
These integrations strengthen the project’s credibility, but partnership totals should not be confused with protocol revenue. The dollar value of assets referenced in a document does not represent money deposited into Walrus, and the number of registered records does not reveal how much WAL will be spent.
The cleaner metric will be paid storage usage.
The Price Move Is Running Ahead of the Evidence

WAL’s current market data show how quickly expectations have changed.
The token’s 24-hour volume increased by more than 1,900% as its price moved above $0.06. A rise in both price and volume gives the breakout more weight than a thinly traded spike, but turnover approaching twice the token’s market capitalization also points to heavy speculation.
WAL remains approximately 92% below its all-time high of $0.7592. That distance may make the token look inexpensive, but previous highs do not establish fair value. WAL’s circulating supply, product adoption and market conditions have changed since that peak.
After a rally of this size, maintaining momentum will require more than repeated references to AI. Traders will want to see the price hold its breakout after short-term buyers begin taking profits. Longer-term investors will need evidence that Walrus is creating recurring demand for storage and WAL-based network resources.
What Would Make the WAL Rally More Convincing?
Walrus now has a stronger narrative than it did a week ago. Console makes the product accessible to mainstream developers, while DATA Network gives Walrus a path toward storing rights-cleared AI training data at scale.
The next stage must be measured rather than announced.
The DATA migration needs a firm timetable. Console should demonstrate sustained usage after its free launch period. Storage consumption and fees should rise, while applications should create recurring WAL demand instead of relying entirely on subsidies. The market must also absorb future token releases without a persistent decline in liquidity or price.
If those pieces come together, Walrus could develop into a meaningful data layer for the Sui ecosystem and AI applications. If they do not, the current rally may prove to have priced in adoption before it arrived.
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Frequently Asked Questions
What is WAL coin?
WAL is the native token of Walrus, a decentralized storage network connected to the Sui ecosystem. It is used for purchasing storage capacity, staking to support network security and participating in protocol governance.
Why is the WAL price rising?
The latest rally followed the launch of Walrus Console and the announcement that DATA Network will migrate to Sui with Walrus as the default storage layer for DATA Foundation applications. Sui Foundation is backing that migration with a $30 million investment.
What is Walrus Console?
Walrus Console is a managed platform for uploading, encrypting and renewing data stored on Walrus. It also allows developers to connect data and AI-agent memory to applications through APIs and MCP without handling wallets or WAL tokens directly.

