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    Moody's Credit MCP

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    Sold by: Moodys 
    Deployed on AWS
    Moody's Credit MCP helps power AI applications and analytics workflows with GenAI-ready credit data, research, and insights needed for more comprehensive AI risk assessments. Our Credit MCP provides connected intelligence and unifies global entity data, financials, ownership, Moody's Ratings proprietary ratings and research, risk metrics, company filings, news, and macroeconomic trends to supports faster, more consistent credit analysis and risk monitoring across entities, markets, and portfolios.

    Overview

    Moody's Credit MCP powers AI applications and analytics workflows with GenAI ready data and research needed for comprehensive credit analysis. Moody's Credit MCP provides a unified layer across core credit data categories commonly used in risk assessment, offering financial analysis, default risk metrics, and qualitative insights. It combines comprehensive entity information, such as financials, ownership, and management, with Moody's Ratings proprietary ratings and research, and probability of default metrics, all enhanced by unstructured data like company filings, earnings transcripts, news, and macroeconomic trends.

    By bringing structured and unstructured credit inputs together, Moody's Credit MCP enables faster data to insight workflows, supporting more rigorous, consistent credit assessment and continuous monitoring of entities, markets, and portfolios.

    Data includes:

    • Global entity firmographics and identifiers
    • Entity hierarchies and ownership structures
    • Detailed global entity financials
    • Moody's Ratings credit ratings and research
    • Expected default frequency
    • Economic data and research
    • News and media
    • Annual reports

    Use Moody's Credit MCP for:

    Credit Analysis: access comprehensive credit risk data and research to assess creditworthiness and compare risk across issuers and instruments

    Risk Management: monitor credit risk through forward looking measures and scenario analysis

    Relationship Management: quickly evaluate credit health to support informed engagement and credit structuring

    Ratings Advisory: align issuer details with ratings methodologies and peer benchmarks

    Investment Research: get data driven assessments to evaluate relative value and risk

    Market Analysis: analyze sector trends and credit risk signals to assess broader market conditions

    Highlights

    • Accelerates credit analysis and decision making: Helps users move faster from data to decision with GenAI ready credit data and research embedded into AI applications and analytics workflows.
    • Unifies critical credit inputs in one workflow: Brings together structured and unstructured data including entity firmographics, financials, ownership structures, ratings, research, risk metrics, news, and macro trends to support more complete credit assessment.
    • Enables ongoing risk monitoring: Supports consistent monitoring of entities, markets, and portfolios with forward looking risk signals and timely credit relevant information.

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