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Astar Fi Opens Public Beta to Turn Wallet Trackers Into Something You Can Act On

Astar Fi, incubated by Astar Foundation, opens its public beta with net-worth tracking plus 848 rated DeFi vaults and tokenized assets.

Astar Fi Opens Public Beta to Turn Wallet Trackers Into Something You Can Act On

Astar Fi, a new platform launched in Tokyo today, aims to transform wallet trackers into actionable tools for managing tokenized real-world assets. As of July, $33.5 billion worth of such assets were sitting on public blockchains, up from $5.4 billion at the start of 2025. However, these assets are largely inaccessible through typical crypto wallets.

Astar Fi addresses this gap by providing a curated, risk-rated set of actions for users, while keeping their assets in their own wallets. The platform, incubated by the Astar Foundation, has been running invite-only since August 17th. It offers three main functionalities: Save, which displays balances, allocations, trends, and transaction history; Earn, which presents a selection of DeFi vaults; and Invest, which integrates crypto assets with tokenized investment products.

The platform's menu is intentionally small, focusing on a curated selection of 140 Morpho vaults, 31 Aave markets, and 16 Midas products. These offerings come from firms like Gauntlet, Steakhouse, Hyperithm, Wintermute, and Galaxy. Astar Fi does not issue or hold any assets, but rather acts as a window and set of buttons to manage the user's existing wallet.

The timing of Astar Fi's launch is well-suited to the growth of tokenized assets. The value of these assets surged from $5.42 billion in January 2025 to $33.5 billion by July. This growth includes tokenized US Treasuries, BlackRock's BUIDL, Ondo's USDY and OUSG, and Franklin Templeton's BENJI. The platform aims to provide a more comprehensive and user-friendly way to manage these diverse assets, catering to crypto-savvy users in Japan who are now subject to stricter financial regulations.

Written by urgent.news from HackerNoon's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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