Pyth launched Pyth Pro for AI Agents, a market data service designed specifically for artificial intelligence agents operating in autonomous financial environments.
The solution grants access to more than 3,000 institutional price feeds covering cryptocurrencies, equities, currencies, metals and commodities through a single integration, built on the same MCP protocol —Model Context Protocol— used by platforms such as Claude and Cursor.
The AI agents market in financial services is projected to grow from $5.2 billion recorded in 2024 to nearly $197 billion by 2034. The world’s 50 largest banks have already announced more than 160 AI agent use cases.
The problem Pyth seeks to solve is structural. Current data stacks were designed for human analysts, not for autonomous systems that query prices across dozens of assets per second, around the clock. Public sources present latency and inconsistencies that are unacceptable in institutional contexts. Fragmentation compounds the issue: integrating cross-asset coverage through traditional providers requires multiple contracts, separate authentication flows and incompatible formats.
Pyth’s proposition is built on combining first-source data —sourced from firms that actively participate in the price discovery process— with redistributable licensing, unified coverage and delivery over an open protocol. Three of the four available tools require no authentication.
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