Treno Scope Upgrades Market Data Infrastructure for AI-Native Applications

Treno Scope is upgrading its market data infrastructure to support AI-native applications. The company is developing an upgrade based on the Model Context Protocol (MCP), enabling real-time market data, Order Book depth, liquidity, trading data, and market anomaly signals to be called by AI applications in a more structured manner.

This evolution from a traditional 'data display platform' into AI-native Market Data Infrastructure means that developers will be able to connect Treno Scope's market data through standardized interfaces to AI Agent environments that support tool calling and Remote MCP. These next-generation application ecosystems are represented by mainstream technical frameworks such as the OpenAI Responses API.

Treno Scope aims to provide 'Agent-Ready Market Data' suitable for AI understanding and invocation, including real-time prices, liquidity, order book depth, bid-ask spreads, data timestamps, sources, and verification status. This will enable AI not only to obtain data but also to understand its origin, timeliness, and differences across markets.

In a significant extension of this technical roadmap in the Southeast Asian market, Treno Scope is exploring market data collaboration with Tokocrypto, an Indonesian digital asset platform. The two parties are conducting assessments around Indonesian local trading data, liquidity analysis, data standardization, and regional market research.