
Walrus current market price is $0.140 with a 24 hour trading volume of $8,661.49K. The total available supply of Walrus is 5.00B WAL with a maximum supply of 5.00B WAL. It has secured Rank 264 in the cryptocurrency market with a marketcap of $216.37M. The WAL price is 0.66% down in the last one hour.
The high price of the Walrus is $0.150 and low price is $0.140 in the last 24 hours. Live prices from all markets and coin market Capitalization. Stay up to date with the latest price movements. Check our coin stats data and see when there is an opportunity to buy or sell at best price in the market.
264
$0.140
$216.37M 5.26%
$700.51M
$8,661.49K
1.54B WAL
5.00B WAL
5.00B WAL
$0.150
$0.140
$0.759 81.55%
14 May 2025
$0.131 7.31%
02 Dec 2025
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0.66%
5.25%
13.28%
4.21%
30.92%
41.43%
74.86%
0%
No historical data available for .
Compare live prices of Walrus on top exchanges.
Walrus is a developer platform enabling data markets for the AI era, making data across all industries trustworthy, provable, monetizable, and secure. From AI agents to data markets and decentralized finance, Walrus empowers builders, users, and intelligent systems to control, verify, and create value from the world’s data.Most of today’s data sits unused or untrusted, limiting the full potential of AI and digital economies. On Walrus, data isn’t just stored — it’s activated, powering new markets across every industry.Developers can build efficient and resilient data markets where trust and value-creation are the norm. It provides developers with the essential tools needed to power a more trustworthy data economy, giving users and organizations the peace of mind to trust the accuracy of AI outputs and giving builders the power to create apps where sensitive data is safe.As a result, data becomes more than just information, but the basis of new markets powered by Walrus. Users, as well as publishers and content creators, can monetize any kind of data. Researchers gain access to quality datasets to power discoveries. Companies can turn their data into new revenue streams, offset operational costs, and purchase new data to train the next generation of AI models

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