Astros and Wallus Release Open Standard for Verifiable Trading Data WVTS

An open standard for trading data necessary for the spread of AI agent-based trading has been released. Astros, the representative decentralized exchange for perpetual futures in the Sui ecosystem, announced on the 10th that it has unveiled the 'Wallus Verifiable Trading Data Standard (WVTS)' in collaboration with the verifiable data platform Wallus, aimed at publishing trading activities as records that anyone can verify. The first product based on WVTS, the trading intelligence platform 'Astros Scan', was also introduced.

WVTS is designed to allow traders, developers, and AI agents to build services and applications based on verifiable trading records. Astros Scan, the first product to apply WVTS, has posted over 22 million trading records to Wallus and has been certified in Sui since April.

Limitations of Today's Trading Data

In the on-chain market, detailed trading records such as executions, positions, and liquidations occur every moment, but these records often do not remain in an easily interpretable form. Trading data is scattered across exchanges, wallets, analysis platforms, and indexers, and there is no common structure that consistently represents execution histories, account statuses, or market contexts.

As a result, users find it difficult to grasp their trading performance across multiple trading platforms at a glance, and protocols and developers must repeatedly invest engineering resources into indexing pipelines, analysis systems, or custom integration tasks instead of creating new services.

The greatest opportunity cost arises in the field of AI agent-based trading. Without a common data format that consistently displays trading activities, AI can read trading records but struggles to reliably understand trading behavior, market structure, execution quality, and the context of past decisions.

Open Standard for Verifiable Trading Data

WVTS defines a common method for publishing trading activities to Wallus. Data published according to this standard has the following characteristics:

• Verifiability: Anyone can independently verify the records without going through the exchange that generated them.
• Openness: Records are publicly accessible, allowing developers, wallets, and analysis platforms to utilize them to create services without separate permission.
• AI Usability: Including a Model Context Protocol (MCP) layer and context objects readable by AI, AI agents can directly utilize verified market data.

This creates new possibilities for application layers and increases efficiency. Developers can apply the standard to all exchanges by creating analysis platforms, wallet functions, or trading tools just once, instead of maintaining and managing individual integrations for each exchange. Users can secure their reliable trading records from disputed executions to long-term trading histories anywhere, and AI agents can finally obtain structured data that can be reliably utilized.

Astros Scan: Standard Applied in Real Operating Environment

Since April, Astros has been posting all trading data to Wallus, and the cumulative records have exceeded 22 million to date. All records are stored asynchronously to avoid causing trading delays. The newly launched 'Astros Scan' integrates fragmented trading activities into a single intelligence platform, showing account activities, positions, execution histories, liquidations, and overall trading behavior.

Astros Scan also features 'Trading DNA', which analyzes users' on-chain records to show their trading tendencies based on AI.

Jerry Liu, founder and CEO of Astros, stated, "The value of Astros data can only be recognized when it can be verified externally, which is why we built Astros Scan based on WVTS. Now, all execution histories of Astros can be independently verified by anyone without relying on the company's explanations, and both developers and AI applications can build services based on this. This is the direction that trading infrastructure should take in the future."

Reasons for Choosing Wallus

A standard for verifiable trading data requires infrastructure that can support it. Wallus has the following characteristics:

• Verifiability: Since all records are certified in Sui, anyone can independently verify the data without relying on a specific exchange or operating entity. Because records are distributed across multiple independent nodes, trading intelligence can continue to be queried even if the exchange that generated the data ceases operations.
• Data Mobility: Trading intelligence recorded in Wallus is not tied to a specific exchange and can be integrated and utilized directly with any platform, application, or AI agent.
• Programmability: Access permissions can be finely set at the data unit level, allowing precise control over who can read what data under what conditions. As agent-based workflows become more complex, new uses become possible, such as selectively sharing data among AI agents or proving performance without exposing strategies, granting access permissions only for the necessary duration.

Costas Chalkias, co-founder and chief cryptographer of Mistin Labs, an early contributor to Sui and Wallus, said, "From ticker tapes to FIX protocols, there have been common standards for sharing and processing trading information in financial markets throughout the ages. Since AI agents cannot directly audit market operators, verifiable standards are needed for agent-based trading as well." He added, "WVTS is a standard open to all exchanges, and Astros is proving this in a real operating environment."

Towards an Open Data Ecosystem

The WVTS specifications, reference implementations, and developer toolkits will be released as open source under the Apache 2.0 license, allowing all exchanges to freely adopt this standard regardless of the chain. More details about Astros and how Wallus supports AI and on-chain financial data in a verifiable form can be found on their respective official websites.