Astros and Walrus to Introduce Open Standard for Agentic Trading

Agentic trading is coming, and one thing stands in its way: trading data that cannot be verified. The Walrus Verifiable Trading Standard (WVTS), introduced today by Astros and Walrus, removes that barrier with a common, verifiable standard for market records.

The limitations of trading data today

Onchain markets generate detailed records of every fill, position, and liquidation, yet almost none of those records exist in a format that’s easy to interpret. Trading data is fragmented across exchanges, wallets, analytics platforms, and indexers, with no common structure for execution history, account state, or market context. 

For users, this means performance data cannot easily follow them across trading platforms, making it difficult to evaluate trading strategies. Protocols and developers use engineering resources to rebuild indexing pipelines, analytics systems, and custom integrations, instead of shipping new products. 

The largest opportunity cost is agentic trading. Without a common representation of trading activity, AI can read transactions but cannot reliably reason about trading behavior, market structure, execution quality, or historical decision making.

An open standard for verifiable trading data

WVTS defines a common way to publish trading activity to Walrus. Data published under the standard is:

• Verifiable. Anyone can check any record independently, without going through the venue that produced it.
• Open. Records are publicly readable, so developers, wallets, and analytics platforms can build on them without permission.
• Readable by AI. The standard includes an MCP layer and AI-readable context objects, so agents can consume verified market data directly.

This creates new possibilities and efficiencies at the application layer. 

Developers can create an analytics platform, a wallet feature, or a trading tool once and support every venue that adopts the standard, instead of maintaining a custom integration for each exchange. Users get a persistent, portable record of their trading activity that holds up anywhere, from a disputed fill to a track record. AI agents finally get structured data they can reliably work with.

Astros Scan: the standard in production

Since April, Astros has published its full trade flow to Walrus: more than 22 million records, written asynchronously with no added latency. Astros Scan, launched this week, shows what that data makes possible: turning fragmented trading activity into a clear, usable view of the market. Instead of looking at isolated transactions, users and builders can see account activity, positions, execution history, liquidations, and broader trading behavior in one intelligence platform.Scan also introduces Trading DNA, an AI-generated profile of how a user trades, built from users’ own onchain history. 

"We built Astros Scan on WVTS because our data is only worth what an outsider can prove about it," said Jerry Liu, Founder and CEO of Astros. "Every fill on Astros can now be checked by someone who does not trust us, and any developer or AI application can build on it. That is what trading infrastructure should look like from here on."

Why Walrus

A standard for verifiable trading data needs infrastructure that can support it today and into the future. Walrus offers a unique combination of properties:

• Verifiability. Every record is certified on Sui, enabling any party to independently verify data, without depending on a single venue or operator. Because records are stored across independent nodes, trading intelligence stays retrievable even if the venue that produced it goes offline.
• Portability. Trading intelligence built on Walrus isn't tied to the venue that produced it. It can be plugged into any platform, application, or agent, rather than locked inside a product.
• Programmability. Access can be controlled at the data level, with fine-grained rules over who reads what, under which conditions. As agentic workflows grow more complex, this opens new possibilities: agents sharing selectively, proving performance without exposing a strategy, or granting access for exactly as long as it's needed.

"Every era of markets has run on a shared standard, from the ticker tape to FIX," said Kostas Chalkias, Co-Founder and Chief Cryptographer at Mysten Labs, original contributor to Sui and Walrus. "Agentic trading needs one too, and it has to be verifiable, because AI agents cannot audit whoever operates the market. WVTS is that standard: it is open to every venue, and Astros is proving it in production."

Building toward an open data ecosystem

The WVTS specification, reference implementation, and developer toolkit will be released open source under the Apache 2.0 license, enabling any venue, on any chain, to adopt the standard. 

Learn more about Astros, and explore how Walrus makes data verifiable for AI and onchain finance.

About Walrus

Walrus is a Verifiable Data Platform for builders in AI and onchain finance. No more fragile foundations: Walrus finally makes it possible to verify where data came from, prove it hasn't been tampered with, and know it's always available, without compromising on speed. It is the foundation for applications where unverifiable data can cause irrecoverable losses. The more we trust AI and onchain finance with our money and decisions, the more mission-critical this becomes. Created by the ex-Meta engineers behind Sui.

About Astros

Astros is the leading trading hub on Sui, combining a DEX aggregator, perpetual futures trading, and AI-powered trading tools into a unified platform. Built to make on-chain trading faster, smarter, and more accessible, Astros is developing the infrastructure for the next generation of trading intelligence on Sui.