TL;DR
- Astros and Walrus introduced the Walrus Verifiable Trading Standard (WVTS), an open standard for publishing verifiable trading records.
- The standard incorporates an MCP layer and AI-readable context objects, allowing agents to consume verified market data directly.
- Astros Scan, the first product built on WVTS, has already accumulated over 22 million records written to Walrus since April 2026.
Astros, one of the leading perpetuals DEXs on the Sui network, announced a collaboration with Walrus to introduce the Walrus Verifiable Trading Standard (WVTS).
WVTS is an open standard designed to turn trading activity into verifiable records that traders, developers, and artificial intelligence agents can use with confidence. The initiative aims to solve a structural problem in agentic trading: the current inability to verify the data on which AI agents operate.
The starting diagnosis is that onchain markets generate detailed records of every execution, position, and liquidation, but that information is fragmented across exchanges, wallets, analytics platforms, and indexers, with no common structure.
WVTS will be released open source enabling any venue, on any chain, to adopt the standard.
Read the full announcement ⤵️https://t.co/8t2Htig34A
— Walrus 🦭/acc (@WalrusProtocol) August 6, 2026
For users, this means that performance history cannot be transferred across platforms. For developers, it means allocating engineering resources to rebuilding indexing pipelines instead of launching new products. And for AI agents, it means operating on data they cannot audit or verify independently.
An Open Standard to Change the Rules of Walrus
WVTS defines a common way to publish trading activity on Walrus. Each record is independently verifiable, without needing to go through the venue that generated it. The data is publicly readable, allowing wallets, analytics platforms, and trading tools to use it without requiring special permissions. The specification, reference implementation, and development kit will be published as open source under the Apache 2.0 license, allowing adoption across any network.
Astros Scan, launched this week as the first product built on the standard, already demonstrates its scope: since April, Astros has written over 22 million records to Walrus asynchronously and without additional latency. The platform allows users to visualize account activity, positions, execution history, and liquidations in a single dashboard. It also incorporates Trading DNA, an AI-generated profile of each user’s trading behavior, built from their own onchain history.
Trustless Verification
“Every fill on Astros can now be verified by someone who doesn’t trust us,” said Jerry Liu, founder and CEO of Astros. For his part, Kostas Chalkias, co-founder and Chief Cryptographer of Mysten Labs, original contributor to Sui and Walrus, stressed that agentic trading needs a shared and verifiable standard, given that AI agents cannot audit those who operate the market.
