07.30.2026

ICE’s Fixed Income Data Available Over AI Platforms

07.30.2026
ICE’s Fixed Income Data Available Over AI Platforms

Offers AI-powered knowledge layer on top of ICE’s leading data and analytics

Leverages MCP to offer seamless data access in a secure, permissioned environment

Intercontinental Exchange, Inc., one of the world’s leading providers of financial market technology and data powering global capital markets, announced its fixed income data and methodologies are now available to be used on leading AI platforms by licensed users, using the Model Context Protocol (MCP). This provides an AI-powered knowledge layer where customers can interact with their preferred AI platform and seamlessly receive responses that are informed by ICE’s leading data and analytics.

Originally developed by Anthropic, MCP is an open standard governed by the Agentic AI Foundation that is used for connecting large language models (LLMs) and AI applications with enterprise data systems, providing open connectivity to all leading AI services, including Claude, ChatGPT, Gemini and Microsoft Copilot.

ICE’s market leading fixed income datasets are being offered through the MCP which includes a protected knowledge layer that maintains the integrity of ICE’s proprietary methodology, data hierarches and relationships. It is currently available in Claude, with the open MCP standard enabling future compatibility across additional AI platforms.

“For the first time, we’re giving our customers access to our industry-leading data and analytics as part of their AI workflows, enabling AI platforms to deliver responses that leverage both ICE’s proprietary data, methodology, and domain knowledge combined with the reasoning that only AI can provide,” said Chris Edmonds, President of ICE’s Fixed Income and Data Services. “By offering our data with the protections and user-permissioning functionality that MCP offers, we’re enabling our customers to access our information and analytics in an entirely new way, built on the principle that users should pay for the value of the data delivered, rather than the volume of compute consumed. This gives our customers a more predictable and transparent way to incorporate ICE’s data into the workflows that drive their decision making.”

The following fixed income datasets are now available in leading AI environments:

  • ICE’s End-of-Day Fixed Income Evaluations – Daily evaluations for over 3 million financial instruments, representing over 150 countries and over 80 different currencies.
  • ICE’s Enhanced Evaluation Transparency – Approximately 160 data points per identifier across all End-of-Day evaluations, basic reference data, price movement commentary, MBS assumptive data, and trade/quote info.
  • ICE AAA Municipal Bond Curve – Transaction-driven curve available as a standalone licensed product and used in ICE’s evaluation process.
  • U.S. Treasury Benchmark Data – Available as a standalone licensed product and used in ICE’s evaluation process.
  • FINRA TRACE and MSRB RTRS Data – Bond trades across corporate, agency and securitized products reported to FINRA TRACE and municipal bond trades reported to MSRB RTRS.

ICE is actively launching AI-based tools within fixed income, the latest of which is ICE Compass, an AI-powered trading analytics platform that gives buy-side fixed income trading desks prioritized trader counterparty rankings and price estimates before executing trades. ICE Compass enables customers to combine their own real-time and historical trading data with ICE’s market data and pricing streams, as well as the millions of bids and offers, indications of interest and other pricing data points that they receive from trading counterparties each day. The model tracks intraday market movements, trading costs and trading behaviors to generate estimates that help support counterparty selection and pre-trade cost analysis.

Source: ICE

 

 

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