Fitch Solutions

Answer questions about Fitch published research, including sector and economic outlooks, issuer analysis, summary, rating methodologies, and industry reports. Use this tool when the user asks about Fitch's views, analysis, or research on a specific company, sector, or topic. When citing sources use markdown link format only: Source Title. Never display raw URL's. Never show full URL string in the response text. If the response includes a 'citations' array, render each citation as a markdown link using its title and url: [title](url). Do NOT fabricate links for documents not listed in citations. Args: question: A specific, self-contained question (e.g. "What is outlook on the US banking sector?" or "How does Fitch rate sovereign debt?") Returns: dict with context, sources and metadata which can be used to answer the question

Retrieve Fitch financial data for one or more issuers across any Fitch-covered sector (corporates, banks, sovereigns, insurance) — Fitch financials, metrics, statements, Fitch-adjusted figures, and ratios. Use this tool when the user asks about an entity's Fitch financial metrics, statements, or ratios, or any quantitative financial query about an issuer. Trigger keywords: Fitch financials, Fitch financial data, Fitch-adjusted, fundamentals, financial performance, income statement, balance sheet, revenue, EBITDA, leverage ratio, net income, margin, CET1, Tier 1, coverage ratio, debt, premiums, cash flow. Trigger phrases: "give me [entity]'s Fitch financials", "Fitch-adjusted EBITDA or leverage for...", "what is [entity]'s EBITDA for fiscal year...", "show me the leverage ratio for...", "what is the debt figure on [entity]'s balance sheet". Also use for a bare "fundamentals", "financials", or "financial metrics" request when no provider is named. If the user names CreditSights, defer to that provider's tool. Use the ratings tool for credit rating values, or the research assistant for broader qualitative analysis. Sector detection is handled automatically from the resolved entity. Entity names and financial concept terms must be extracted from the user's question by the caller and passed via entity_list and financial_fields respectively. Args: entity_list: Required list of issuer names taken exactly as the user wrote them in the query. Do not expand or modify them. Example: ["Apple Inc", "Microsoft Corp"] years: Optional list of years to retrieve data for, in YYYY format. Defaults to the last 6 years computed from today's date server-side. OMIT this parameter when the user asks for 'last N years', 'latest', or 'recent' — never hardcode a year range for open-ended recency requests, as that will produce stale results. When presenting 'last N years' results, ALWAYS show the N most recent (newest) years available in the dataset, newest first. Do NOT show the first N entries or an arbitrary year range. Years need not be consecutive, count from the newest year backward. Example: if data exists [2020, 2021, 2023, 2024, 2025] and user asks 'last 3 years', show [2025, 2024, 2023] (the 3 newest), NOT [2021, 2022, 2023]. Always include all years in the selected range, including Standardized-only years marked with adjMissing. For a follow-up about the same result, preserve the original entity, financial metric, and requested number of years unless the user changes them. Only pass explicit years when the user specifies exact years. Example: [2021, 2022, 2023] financial_fields: Optional list of financial concept terms extracted from the question. If omitted, a broad default set of fields is returned. Example: ["revenue", "ebitda", "net_income"] Returns: List of dictionaries with entity name, agent_id, and financial data. Corporate sectors — each metric is returned as ONE merged field per metric, with both value variants aligned by year. Each value entry includes: - adjustedValue: the Fitch-Adjusted value, or null when unavailable - standardizedValue: the Standardized value, or null when unavailable - standardizedValues: all Standardized values when a period has duplicates - adjMissing: true (only present if ADJ was unavailable for that year) - sameValueAsStd: true when adjustedValue and standardizedValue are equal IMPORTANT — default corporate presentation (when the user mentions neither variant): MUST use a table with the columns "Year, Fitch-Adjusted, Standardized", in that order. Read those columns from adjustedValue and standardizedValue respectively. Show null as —. Present the requested number of newest years first and do NOT omit years that have only Standardized data. When adjMissing is true, note that Fitch-Adjusted was unavailable. After the table, include a brief "Key observations" section describing only trends, changes, totals, or ADJ/STD differences directly supported by the returned values. Do not infer business causes or provide qualitative explanations without supporting data. User filters (inclusive of all user phrasing): - "adjusted" / "ADJ" / "Fitch-adjusted" → use adjustedValue - "standardized" / "as-reported" / "STD" → use standardizedValue - both or mixed → show adjustedValue and standardizedValue side by side Follow-up requests retain the original year count, changing the value variant must not expand or otherwise change the previously requested year range. Non-corporate sectors (banks, sovereigns, insurance) return single values with no ADJ/STD distinction. statementType — every value for non-corporate sectors includes a statementType field identifying the reporting period type. Allowed values: "Annual Statement" — full-year annual report "Quarterly Statement" — standalone quarterly report (Q1, Q2, Q3, or Q4) IMPORTANT — how to use statementType when presenting results to the user: - ALWAYS display statementType alongside each value so the user knows the reporting period - When the user asks for "quarterly", "latest quarter", or similar → present ONLY values where statementType = "Quarterly Statement" - When the user asks for "annual" or "full year" → present ONLY values where statementType = "Annual Statement" - When the user does not specify a period type → present ALL values grouped by statementType: annual figures first, then quarterly - NEVER mix annual and quarterly values as if they represent the same reporting period - If a requested statementType has no values, inform the user the data is unavailable for that period type Example: [{"entityName": "Bank of America", "entityId": "110631", "financials": {...}}]

Retrieve Fitch Key Rating Drivers (KRD) — the factors that support or constrain an issuer's Fitch rating, including Fitch rating sensitivities. KRDs are Fitch-published summaries explaining the key factors that support or constrain an issuer's credit rating. Use this tool when the user wants to understand why an entity has its current rating, what factors could lead to a rating change, or any question about rating rationale, key rating drivers, rating sensitivities, or upgrade/downgrade triggers. Trigger keywords: Fitch key rating drivers, KRD, rating rationale, rating sensitivities, rating factors, positive factors, negative factors, downgrade trigger, upgrade trigger, credit opinion. Trigger phrases: "why is [company] rated...", "what are the key rating drivers for...", "what are Fitch's rating sensitivities for...", "what would trigger an upgrade/downgrade for...", "what factors support the rating for...". Also use for a bare "credit opinion", "rationale", "rating drivers", or "why is it rated X" when no provider is named. If the user names another provider, defer to that provider's tool. When citing sources use markdown link format only: Source Title. Never display raw URL's. Never show full URL string in the response text. If the response includes a 'citations' array, render each citation as a markdown link using its title and url: [title](url). Do NOT fabricate links for documents not listed in citations. Use the ratings tool instead if the user only wants the rating value or history. Use the research assistant tool for broader sector or thematic questions. Entity names — partial or informal names are accepted but canonical legal names yield the most reliable results. Args: entity_list: List of issuer names to retrieve KRDs for (e.g. ["Goldman Sachs", "Toyota"]). Maximum 10 entities. Full legal entity names are preferred over tickers or abbreviations. limit: Maximum number of KRD documents to return per entity (default: 1 for latest document). Increase to retrieve older documents for historical trend analysis. offset: Number of documents to skip (default: 0) Returns: Dictionary with documents list, count, and optional error. If multiple entities resolved, returns data for all entities.

Retrieve Fitch peer entities and comparables for one or more issuers. Use this tool when the user asks which companies are considered peers or comparables to a given issuer, or wants to benchmark an entity against similar firms. Trigger keywords: Fitch peers, Fitch peer group, Fitch comparables, comparable companies, peer set, peer group, peers, comparables, benchmark peers, Fitch-defined peers, similar issuers. Trigger phrases: "who are [entity]'s Fitch peers", "Fitch peer group for...", "comparable companies to [entity] per Fitch", "benchmark [entity] against Fitch-rated peers", "who does Fitch consider comparable to...", "peers of [entity] according to Fitch". Also use for a bare "who are [entity]'s peers" or "comparables for [entity]" when no provider is named. If the user names another provider, defer to that provider's tool. Use the financials tool to compare actual metrics across peers once retrieved. Use the ratings tool to compare credit ratings across peers. Use get_entities to screen a sector or region rather than peers of a named issuer. Sector is auto-detected from each entity's profile where possible. The sector argument acts as a fallback only — providing the correct sector improves accuracy when auto-detection is ambiguous. Args: entity_list: List of issuer names to retrieve peers for (e.g. ["JPMorgan Chase", "HSBC"]). Maximum 10 entities. Full legal entity names are preferred over tickers or abbreviations. sector: Fallback sector if auto-detection fails. Must be one of: 'banks', 'corps', 'sovereigns', 'insurance' (default: 'corps'). Note: each entity's actual sector is auto-detected from its profile and will override this value where possible. Returns: Dictionary with entity_count, sector, and results array containing peers for each entity. Example: {"entity_count": 1, "sector": "banks", "results": [{"entity_id": "123", "entity_name": "JPMorgan Chase", "peers": [...]}]}

Retrieve Fitch credit ratings and rating history for one or more issuers — current or historical Fitch rating, IDR, outlook, or watch status. Fitch is an NRSRO. For a bare "credit rating", "the rating", "rating and outlook", or "rating agency view" when no provider is named, use this tool. Trigger keywords: Fitch rating, Fitch credit rating, Fitch IDR, Issuer Default Rating, Fitch long-term rating, Fitch short-term rating, Fitch outlook, rating outlook, watch status, rating watch, Fitch grade, Fitch-rated, current rating, rating history, rating change, downgrade, upgrade, notch, AAA, AA, BBB, CCC. Trigger phrases: "what is Fitch's rating on...", "how is [entity] rated by Fitch", "current Fitch rating for...", "Fitch rating history of...", "is [entity] on Fitch watch", "what's [entity]'s Fitch outlook", "did Fitch upgrade/downgrade...", "rated by Fitch", "was [company] downgraded", "show me the rating history for...". Use this tool for any question about what a rating is or was. Any question about the value, history, or status of a credit rating should route here. Questions about why a rating is what it is should route to get_krd instead. Args: entity_list: List of issuer names to look up (e.g. ["Apple Inc", "Ford Motor Co"]). Maximum 10 entities per request. Names should be explicit legal entity names, not abbreviations or ticker symbols. start_date: Start of the rating history window. Format: "YYYY-MM-DD". Defaults to "2016-01-01". Cannot be earlier than 2016-01-01. end_date: End of the rating history window. Format: "YYYY-MM-DD". Optional. Must be within 10 years of start_date. Returns: dict: Ratings history per entity, including long-term issuer rating, outlook (Positive/Stable/Negative), watch status, and effective dates. If multiple entities are resolved, results are returned for all of them.