> ## Documentation Index
> Fetch the complete documentation index at: https://docs.bigdata.com/llms.txt
> Use this file to discover all available pages before exploring further.

# MCP updates

> MCP updates and announcements

<Update label="2026-05-15" tags={["Tools", "Public Company Tearsheet"]} rss={{ title: "Section Filtering Added to Company Tearsheet", description: "The Company Tearsheet now supports a new `sections` parameter so agents can request only the data they need for a public company, minimizing the context added to the agent." }}>
  **Section Filtering Added to Company Tearsheet**

  The Company Tearsheet (**`bigdata_company_tearsheet`**) now supports a new **`sections`** parameter for public companies, letting agents retrieve only the precise information they need for a particular company and minimize the context added to the agent.

  ### What's Included

  * **Targeted Responses:** Pass a list of section names in the `sections` parameter to return only those sections. If omitted, all available sections are returned (existing behavior).
  * **Lower Context Overhead:** Agents can scope each call to just the data required for the current task, keeping responses focused and reducing token usage.
  * **Public Companies Only:** Section filtering applies to public company tearsheets.

  ### Supported Sections

  | Section                | Description                                         |
  | ---------------------- | --------------------------------------------------- |
  | `company_overview`     | Company profile, price performance, description     |
  | `financial_ratios`     | Gross margin, P/E, P/B, debt ratios (TTM)           |
  | `key_metrics`          | EV, EV/EBITDA, ROE, ROA, free cash flow yield (TTM) |
  | `dividends`            | Dividend history, yields, frequency                 |
  | `analyst_estimates`    | Forward revenue and EPS projections                 |
  | `latest_earnings`      | Most recent earnings actual vs. estimated           |
  | `earnings_calendar`    | Upcoming earnings dates                             |
  | `financial_statements` | Income statement, balance sheet, cash flow          |
  | `revenue_segmentation` | Revenue breakdown by product and geography          |
  | `analyst_ratings`      | Analyst recommendations and price targets           |
  | `fund_trends_history`  | Institutional holdings and options activity         |
  | `hiring_trends`        | Employee count trends and workforce signals         |
  | `esg_performance`      | Environmental, Social, Governance scores            |
  | `mergers_acquisitions` | M\&A activity (requires FactSet access)             |

  See the [bigdata\_company\_tearsheet](/mcp-reference/tools/bigdata-company-tearsheet#available-sections) reference for full details and an example request.
</Update>

<Update label="2026-04-17" tags={["Tools", "ETF Tearsheet"]} rss={{ title: "ETF Tearsheet Launch (Beta)", description: "This release introduces the ETF Tearsheet, providing comprehensive analysis of exchange-traded funds with fund facts, holdings, performance, risk metrics, and allocations." }}>
  **ETF Tearsheet Launch (Beta)**

  This release introduces the **ETF Tearsheet** in **Beta** (**`bigdata_etf_tearsheet`**), providing comprehensive analysis of exchange-traded funds (ETFs) with fund facts, top holdings, price performance, historical returns, risk metrics, and sector/country allocations.

  ### Includes

  * **Fund Overview (12 Fields):** ISIN, asset class, currency, NAV, AUM, expense ratio (TER), holdings count, inception date, domicile, provider, average volume, and exchange
  * **Top 10 Holdings:** Portfolio composition with rank, asset name, shares, market value, weight, cumulative top-10 weight, and HHI (Herfindahl-Hirschman Index) concentration measure
  * **Price Performance:** Last price, day change, market cap, 52-week high/low, 50/200-day moving averages, and premium/discount to NAV
  * **Returns Overview:** Multi-period returns (1D, 5D, 1M, 3M, 6M, YTD, 1Y, 3Y)
  * **Risk & Technical:** Realized volatility (20D/60D), max drawdown (1Y), and RSI (14-period) across multiple periods
  * **Sector Breakdown:** Portfolio allocation by GICS sector with weight percentages
  * **Country Allocation:** Geographic distribution with weight percentages

  ### Comprehensive ETF Analysis

  The ETF Tearsheet consolidates essential ETF data into seven structured markdown tables:

  **Investment Decision Support:**

  * Compare expense ratios, AUM, and tracking characteristics across similar ETFs
  * Evaluate concentration risk via HHI and top-10 holdings weight
  * Assess sector and country diversification for portfolio construction

  **Risk Assessment:**

  * Volatility metrics (20D/60D realized volatility)
  * Downside risk (max drawdown over 1-year)
  * Technical indicators (RSI for overbought/oversold conditions)

  **NAV Monitoring:**

  * Premium/discount tracking to identify arbitrage opportunities or pricing inefficiencies
  * Sustained premium >2% may indicate overpaying; sustained discount may present opportunity

  **Performance Attribution:**

  * Multi-period returns for trend analysis and benchmark comparison
  * Sector/country allocations to understand performance drivers
  * Top holdings analysis for single-stock concentration risk

  The ETF Tearsheet provides institutional-grade ETF analysis in a structured, easy-to-read format for comprehensive fund evaluation and portfolio decision-making.
</Update>

<Update label="2026-04-10" tags={["Tools", "bigdata_search"]} rss={{ title: "Fast and smart search modes for bigdata_search", description: "bigdata_search now exposes fast and smart search modes via MCP; fast mode supports structured filters alongside the text query." }}>
  **Fast and smart search modes for `bigdata_search`**

  The **`bigdata_search`** tool now supports **`search_mode`** with **`"fast"`** and **`"smart"`** over MCP, so agents can choose between direct semantic and lexical search or an AI-assisted interpretation of the query.

  ### What’s included

  * **Fast mode (`"fast"`)**: Pass a **`query`** object with **`text`** and optional **`filters`** to narrow results by document type, entities, timestamps, categories, and more.
  * **Smart mode (`"smart"`)**: Pass a **`query`** object with **`text`** only; the service interprets the natural-language request for a more intelligent search.

  See the [bigdata\_search](/mcp-reference/tools/bigdata-search) reference for request shapes, filter fields, and examples. For pricing and when to use each mode, see [Fast vs smart search](/getting-started/bigdata_api_pricing#what-is-the-difference-between-fast-and-smart-search-modes).
</Update>

<Update label="2026-04-01" tags={["Tools", "Sentiment Tearsheet"]} rss={{ title: "Sentiment Tearsheet Launch (Beta)", description: "This release introduces the Sentiment Tearsheet in Beta, providing real-time media sentiment analysis for public and private companies with AI-generated narratives and cited source articles." }}>
  **Sentiment Tearsheet Launch (Beta)**

  This release introduces the **Sentiment Tearsheet** in **Beta** (**`bigdata_sentiment_tearsheet`**), providing comprehensive real-time media sentiment analysis for public and private companies. This is now the **preferred tool for any explicit sentiment request** - whenever users ask for sentiment, news tone, or media perception.

  ### Beta Release

  This is a **Beta release** - the tool is fully functional and available for testing and feedback. We're actively refining the AI-generated narratives and sentiment scoring based on real-world usage.

  ### Includes

  * **Sentiment Score & Direction:** Bullish, bearish, or neutral classification with numerical score (-1.0 to +1.0)
  * **Media Attention Level:** Coverage volume over recent periods with trending indicators (increasing/decreasing/stable)
  * **AI-Generated Narrative:** Structured summary identifying the main themes, positive drivers, and negative drivers behind current sentiment
  * **Cited Source Articles:** Supporting evidence with article headlines, publication sources, dates, and individual article sentiment
  * **Markdown Report Format:** Clean, readable output optimized for presentation and analysis
</Update>

<Update label="2026-03-25" tags={["Tools", "Market Tearsheet"]} rss={{ title: "Four New Sections Added to Market Tearsheet: Equity Sectors, Fixed Income, Yields, and Equity Factors", description: "The Market Tearsheet now includes comprehensive coverage of US equity sectors, fixed income markets, Treasury yields, and equity factors, expanding from 4 to 8 asset classes." }}>
  **Four New Sections Added to Market Tearsheet: Equity Sectors, Fixed Income, Yields, and Equity Factors**

  The Market Tearsheet now provides **eight complete asset class views** in a single call:

  1. **Global Markets** (38 country/region ETFs)
  2. **Major Indexes** (38 stock market indexes)
  3. **Commodities** (30 instruments)
  4. **Currencies** (49 fiat + crypto pairs)
  5. **Equity Sectors** (11 US sectors) **← NEW**
  6. **Fixed Income** (26 bond ETFs) **← NEW**
  7. **Yields** (12 Treasury maturities) **← NEW**
  8. **Equity Factors** (20 factor ETFs) **← NEW**

  ### New Sections

  * **Equity Sectors (11 US Sector ETFs)**
    * All 11 GICS sectors via SPDR Select Sector ETFs: Technology (XLK), Health Care (XLV), Financials (XLF), Consumer Discretionary (XLY), Communication Services (XLC), Industrials (XLI), Consumer Staples (XLP), Energy (XLE), Utilities (XLU), Real Estate (XLRE), Materials (XLB)
    * Enables sector rotation strategies and economic cycle positioning
    * Identifies which sectors are leading/lagging market performance

  * **Fixed Income (26 Bond ETFs)**
    * US Treasury Duration: Short-term, intermediate, long-term, and ultra-long Treasury ETFs
    * US Government Agencies: Mortgage-backed securities and agency bonds
    * US Corporate Credit: Investment-grade and high-yield corporate bond ETFs
    * International Credit: Developed and emerging market sovereign and corporate bonds
    * Enables duration management, credit risk assessment, and flight-to-quality analysis

  * **Yields (12 US Treasury Maturities)**
    * Complete yield curve coverage: 1M, 3M, 6M, 1Y, 2Y, 3Y, 5Y, 7Y, 10Y, 20Y, 30Y
    * Current yield rates with multi-period changes (1D, 5D, 1M, 3M, 6M, YTD, 1Y)
    * Enables yield curve analysis (normal/flat/inverted), recession signal monitoring (2s10s spread), and interest rate policy expectations

  * **Equity Factors (20 Factor ETFs)**
    * Style Factors: Large/mid/small-cap growth and value
    * Qualitative Factors: Quality, momentum, low volatility, dividend, equal weight
    * Size & Style Combinations: Multi-factor blend strategies
    * Enables factor rotation strategies, smart beta construction, and market regime identification

  ### Advanced Analysis Capabilities

  * **Sector Rotation:** Identify cyclical vs defensive sector leadership to confirm economic cycle positioning
  * **Yield Curve Monitoring:** Track curve shape for recession signals (2s10s inversion) and Fed policy expectations
  * **Credit Spreads:** Compare Treasury vs corporate bond performance to gauge credit market stress
  * **Factor Cycles:** Monitor growth vs value, momentum, quality, and size factor performance for regime detection
  * **Duration Risk:** Assess interest rate sensitivity across the Treasury curve and bond ETF performance
  * **Cross-Asset Regimes:** Combine equities, bonds, sectors, factors, commodities, and currencies for comprehensive risk-on/risk-off assessment

  This expansion transforms the Market Tearsheet into a complete multi-asset platform for portfolio construction, risk management, tactical allocation, and market regime analysis across all major asset classes.
</Update>

<Update label="2026-03-13" tags={["Tools", "Market Tearsheet"]} rss={{ title: "Major Stock Market Indexes Section Added to Market Tearsheet", description: "The Market Tearsheet now includes 38 major stock market indexes with actual index levels, complementing the existing ETF-based Global Markets section." }}>
  **Major Stock Market Indexes Section Added to Market Tearsheet**

  The Market Tearsheet now includes **38 major stock market indexes** showing actual index levels (not ETF prices), providing the headline index numbers you see in financial news alongside investable ETF proxies.

  ### New Section

  * **Major Indexes (38 Indexes)**
    * North America (11): S\&P 500, Dow Jones, NASDAQ Composite, NASDAQ 100, Russell 2000, Russell 1000, Wilshire 5000, NYSE Composite, VIX, S\&P/TSX Composite, S\&P/BMV IPC
    * Europe (13): FTSE 100, DAX 40, CAC 40, Euro Stoxx 50, STOXX 600, IBEX 35, FTSE MIB, AEX, SMI, OMX Stockholm 30, BEL 20, ATX, MOEX Russia
    * Asia-Pacific (12): Nikkei 225, Hang Seng, S\&P/ASX 200, KOSPI, TAIEX, NIFTY 50, BSE SENSEX, STI, NZX 50, SET, Jakarta Composite, KLCI
    * Other (5): Bovespa, Merval, JSE Top 40, EGX 30, Tadawul All Share

  ### Enhanced Capabilities

  * **Exact Index Levels:** Get the precise S\&P 500, NASDAQ, DAX, or Nikkei levels as reported by exchanges
  * **VIX Volatility Index:** Track market fear gauge alongside equity performance
  * **Market Breadth Analysis:** Compare S\&P 500 vs Russell 2000 to assess large-cap vs small-cap performance
  * **Regional Benchmarks:** Monitor flagship indexes across all major regions
  * **Multi-Period Performance:** Same 1D, 5D, 1M, 3M, 6M, YTD, 1Y data structure as other sections

  ### Global Markets vs Major Indexes

  The tearsheet now provides two complementary equity views:

  **Global Markets (ETFs):** Investable country/region exposure via ETFs (e.g., SPY at \$500)\
  **Major Indexes (Actual Levels):** Direct index point values (e.g., S\&P 500 at 5,000 points)

  Use Major Indexes for precise index tracking and headline reporting. Use Global Markets for portfolio allocation and cross-border ETF comparisons. Use both for comprehensive equity market analysis.

  The Market Tearsheet now delivers four complete asset class views in a single call: **Global Markets** (38 ETFs), **Major Indexes** (38 indexes), **Commodities** (30 instruments), and **Currencies** (49 pairs).
</Update>

<Update label="2026-03-13" tags={["Tools", "Market Tearsheet"]} rss={{ title: "Commodities and Currencies Sections Added to Market Tearsheet", description: "The Market Tearsheet now includes comprehensive coverage of 30 commodities and 49 currency pairs (fiat + crypto), expanding beyond equities to provide a complete cross-asset market snapshot." }}>
  **Commodities and Currencies Sections Added to Market Tearsheet**

  The Market Tearsheet now includes **30 commodities** and **49 currency pairs** (fiat + crypto), expanding beyond equities to provide a comprehensive cross-asset market snapshot with multi-period performance data.

  ### New Sections

  * **Commodities (30 Instruments)**
    * Energy (5): Crude Oil WTI, Brent Crude, Natural Gas, Gasoline RBOB, Heating Oil
    * Metals (8): Gold, Silver, Platinum, Palladium, Micro Gold, Micro Silver, Copper, Aluminum
    * Agricultural (17): Corn, Wheat, Soybeans, Soybean Oil, Soybean Meal, Oats, Rough Rice, Sugar, Coffee, Cocoa, Cotton, Orange Juice, Live Cattle, Feeder Cattle, Lean Hogs, Lumber, Class III Milk

  * **Currencies (49 Pairs)**
    * Fiat (34): Major pairs (EUR/USD, GBP/USD, USD/JPY, etc.), cross pairs, and emerging market currencies (USD/CNY, USD/INR, USD/MXN, USD/BRL, USD/ZAR, USD/TRY, and more)
    * Crypto (15): BTC/USD, ETH/USD, SOL/USD, XRP/USD, ADA/USD, DOGE/USD, AVAX/USD, and more

  ### Enhanced Performance Data

  All three sections (Global Markets, Commodities, Currencies) now include **seven timeframes** of percentage change data:

  * 1D, 5D, 1M, 3M, 6M, YTD, 1Y

  This multi-period view enables momentum analysis, trend identification, acceleration/deceleration detection, and cross-timeframe divergence spotting.

  ### Cross-Asset Analysis Capabilities

  * **Risk Sentiment:** Correlate equity performance with safe haven demand (gold, JPY, CHF)
  * **Inflation Signals:** Track commodity prices alongside currency moves and equity sectors
  * **Commodity-Currency Relationships:** Analyze commodity exporters (CAD, AUD, BRL) vs commodity prices
  * **Macro Theme Validation:** Confirm macro themes across asset classes (e.g., rising oil → energy equity outperformance)
  * **Portfolio Diversification:** Monitor cross-asset correlations for true diversification assessment

  The Market Tearsheet now delivers a complete view of global market conditions across equities, commodities, and currencies in a single call - enabling sophisticated cross-asset analysis, regime detection, and portfolio risk management.
</Update>

<Update label="2026-03-12" tags={["Tools", "Market Tearsheet"]} rss={{ title: "Market Tearsheet Launch", description: "This release introduces the Market Tearsheet, providing a comprehensive global equity markets snapshot across 38 country and region ETFs with current prices, daily performance, and year-over-year returns." }}>
  **Market Tearsheet Launch**

  This release introduces the **Market Tearsheet** in MCP (**`bigdata_market_tearsheet`**), providing a comprehensive global equity markets snapshot in a single call. Users can now instantly access worldwide market conditions, performance rankings, and regional comparisons across 38 country and region ETFs from iShares MSCI, SPDR, and Vanguard families.

  * **Global Coverage**: 38 country and region ETFs spanning Americas, Europe, Asia-Pacific, Middle East, Africa, and broad market indices (Emerging Markets, EAFE, All World ex-US).
  * **Performance Metrics**: Current prices, 1-day changes (absolute and percentage), and 1-year returns for each market.
  * **Regional Analysis**: Quick comparisons across geographic regions to identify outperformers, underperformers, and market breadth trends.
  * **Markdown Table Format**: Clean, scannable table presentation for easy visual analysis and rapid market assessment.
  * **Zero Configuration**: No parameters required - simply call the tool to receive the full global markets snapshot.

  The Market Tearsheet is ideal for portfolio rebalancing, tactical asset allocation, risk assessment, geopolitical monitoring, and quick market sentiment checks across global equity markets.
</Update>

<Update label="2026-03-12" tags={["Tools", "Country Tearsheet"]} rss={{ title: "Macroeconomic Overview Added to Country Tearsheet", description: "The Country Tearsheet now includes a comprehensive Macroeconomic Overview with 15 sectoral categories of recent economic indicators, each showing actual vs. consensus values, surprise percentages, and impact levels." }}>
  **Macroeconomic Overview Added to Country Tearsheet**

  The Country Tearsheet now includes a **comprehensive Macroeconomic Overview** with 15 sectoral categories of recent economic indicators, each showing actual vs. consensus values, surprise percentages, and impact levels.

  ### Includes

  * **15 Economic Sectors Organized Thematically**
    * GDP & Growth
    * Labor Market
    * Inflation & Prices
    * Consumer & Business Sentiment
    * Manufacturing & Services
    * Housing Market
    * Retail & Consumer Spending
    * Trade & International
    * Inventories & Supply Chain
    * Credit & Monetary
    * Central Bank & Monetary Policy
    * Regional Economic Indicators
    * Energy & Commodities
    * Government Securities Auctions
    * Fiscal Policy

  * **Rich Data for Each Indicator**
    * Latest release value (actual)
    * Consensus forecast (expected)
    * Surprise percentage (actual vs. consensus)
    * Release frequency (monthly, quarterly, annual)
    * Impact level (HIGH, MEDIUM, LOW)

  * **Enhanced Analysis Capabilities**
    * Thematic grouping enables sector-specific deep dives
    * Surprise tracking reveals which sectors beat or miss expectations
    * Frequency awareness helps understand release schedules
    * Impact assessment prioritizes market-moving data

  This sectoral organization replaces the previous World Bank Development Indicators section, providing more granular, timely, and actionable economic data. The Macroeconomic Overview enables sophisticated nowcasting, sector-specific analysis, and comprehensive economic assessment across all 42 supported countries.
</Update>

<Update label="2026-02-19" tags={["Tools", "Public Company Tearsheet", "Private Company Tearsheet"]} rss={{ title: "Aggregated Jobs Data Added to Company Tearsheet", description: "The Company Tearsheet now includes **aggregated jobs data across all subsidiaries under a parent company**, providing a more complete view of organizational hiring activity." }}>
    **Aggregated Jobs Data Added to Company Tearsheet**

  The Company Tearsheet now includes **aggregated jobs data across all subsidiaries under a parent company**, providing a more complete view of organizational hiring activity.

  ### Includes

  * **Parent-Level Aggregation**
    * Hiring data now reflects job activity across the full subsidiary structure, not just the parent entity.

  * **Expanded Growth Visibility**
    * Captures workforce expansion signals across the broader corporate footprint.

  By aggregating hiring activity across subsidiaries, the Tearsheet now delivers a more accurate representation of company-wide growth trends. This is particularly valuable for complex corporate structures where hiring activity may sit outside the parent entity but still signals expansion and operational momentum.
</Update>

<Update label="2026-02-13" tags={["Tools", "Country Tearsheet"]} rss={{ title: "US Treasury Yields Integration (US Only)", description: "US Treasury yield data has been added to the **Country Tearsheet** for the United States, expanding fixed income visibility alongside macroeconomic indicators." }}>
    **US Treasury Yields Integration (US Only)**

  US Treasury yield data has been added to the **Country Tearsheet** for the United States, expanding fixed income visibility alongside macroeconomic indicators.

  ### Includes

  * **US Treasury Yields**
  * **Yield Curve Data**
  * **Spread Analysis**
  * **Interest Rate Trend Context**

  ### Availability

  * Currently supported for the **United States only**.
  * For countries outside the US, the TearSheet will clearly return:\
    **“Data is not available.”**

  Integrating Treasury yields allows users to assess yield curve positioning, identify shifts in the rate environment, and interpret bond market signals alongside macroeconomic indicators. This provides a more complete macro-financial view while maintaining transparency for countries where sovereign yield coverage is not yet available.
</Update>

<Update label="2026-02-10" tags={["Tools", "Public Company Tearsheet", "Private Company Tearsheet"]} rss={{ title: "Daily Sentiment Indicator for Company Tearsheets", description: "We are introducing a new **Daily Sentiment Indicator** designed to power both Public and Private Company TearSheets with faster, more comparable, and more context-aware narrative signals." }}>
    **Daily Sentiment Indicator for Company Tearsheets**

  We are introducing a new **Daily Sentiment Indicator** designed to power both Public and Private Company Tearsheets with faster, more comparable, and more context-aware narrative signals.
  This new signal is built to better reflect daily market narrative shifts and provide deeper transparency into how sentiment is formed.

  ### What’s Included

  * **Near Real-Time 24-Hour Tracking**: Captures sentiment trends on a rolling daily basis to better reflect current market narratives.
  * **Cross-Sectional Normalization**: Combines entity-level sentiment signals with cross-company normalization to improve comparability across companies.
  * **Detection-Boosted Methodology**: Prioritizes relevant, event-driven coverage while reducing noise from repetitive or low-value sources.
  * **Media Attention Metrics**: Introduces coverage intensity metrics, helping users understand how much data supports the sentiment signal and how strong the underlying narrative is.
</Update>

<Update label="2026-02-10" tags={["Tools", "Country Tearsheet"]} rss={{ title: "Currency Coverage Added to Country Tearsheet", description: "Country TearSheets now include currency information to provide additional economic context and improve cross-country comparisons." }}>
    **Currency Coverage Added to Country Tearsheet**

  Country Tearsheets now include currency information to provide additional economic context and improve cross-country comparisons.

  * **Country Currency Visibility**: View primary currency information alongside macroeconomic indicators.
  * **Enhanced Comparative Analysis**: Improves interpretation of inflation, interest rates, and growth data across different economies.
</Update>

<Update label="2026-02-05" tags={["Tools", "Events Calendar"]} rss={{ title: "Sector Filtering Added to Events Calendar", description: "The Events Calendar now supports sector-level filtering, allowing users to focus on industry-specific events and announcements." }}>
    **Sector Filtering Added to Events Calendar**

  The Events Calendar (**`bigdata_events_calendar`**) now supports sector-level filtering, allowing users to quickly identify relevant industry-specific developements and announcements.
</Update>

<Update label="2026-02-05" tags={["Tools", "Country Tearsheet"]} rss={{ title: "Indices Added to Country Tearsheet", description: "Key market indices have been added to the **Country Tearsheet**, providing visibility into equity market performance alongside macroeconomic indicators." }}>
    **Indices Added to Country Tearsheet**

  Key market indices have been added to the **Country Tearsheet** (**`bigdata_country_tearsheet`**), providing visibility into equity market performance alongside macroeconomic indicators.

  * **Equity Market Performance**: View major country-level stock market indices directly within the Tearsheet.
  * **Macro + Market Context**: Align macroeconomic indicators with real-time market performance signals.
</Update>

<Update label="2026-02-03" tags={["Tools"]} rss={{ title: "Tearsheet Layout Consistency Improvements", description: "This update introduces layout and labeling improvements across Tearsheets to enhance usability, clarity, and data transparency." }}>
    **Tearsheet Layout Consistency Improvements**

  This update introduces layout and labeling improvements across Tearsheets to enhance usability, clarity, and data transparency.

  * **Hiring Data Repositioned**: Hiring data has been moved to the top of the relevant section following user feedback, improving visibility of hiring trends as a key growth signal.
  * **Source Labeling Standardization**: Improved consistency in source labeling across Tearsheet sections, making data provenance clearer and easier to interpret.
</Update>

<Update label="2026-01-29" tags={["Tools", "Public Company Tearsheet", "Private Company Tearsheet"]} rss={{ title: "Jobs Data Added to Public & Private Company Tearsheets", description: "Jobs data from **LinkUp** is now available across both **Public** and **Private Company TearSheets**, introducing an additional real-world signal to help assess company growth and momentum." }}>
    **Jobs Data Added to Public & Private Company Tearsheets**

  Jobs data from LinkUp is now available across both **Public** and **Private Company Tearsheets** (**`bigdata_company_tearsheet`**), introducing an additional real-world signal to help assess company growth and momentum.

  * **Hiring Activity Insights**: Access job posting and hiring trend data directly within company Tearsheets.
  * **Expanded Coverage Across Company Types**: Jobs data is now available for both public and private companies where coverage exists.
</Update>

<Update label="2026-01-29" tags={["Tools", "Events Calendar"]} rss={{ title: "Revamped Events Calendar", description: "The Events Calendar has been upgraded to improve usability for both human users and LLM-driven workflows, making it easier to discover, interpret, and automate around market-moving events." }}>
    **Revamped Events Calendar**

  The Events Calendar (**`bigdata_events_calendar`**) has been upgraded to improve usability for both human users and LLM-driven workflows, making it easier to discover, interpret, and automate around market-moving events.

  * **LLM-Friendly Markdown Format**: Events are now presented in a structured Markdown format with clear separation between upcoming and historical events, improving readability and machine parsing.
  * **Country Filtering**: Users can now filter events by country, enabling more targeted macroeconomic and market analysis.
  * **Exchange Filtering**: Events can now be filtered by exchange, improving discovery of company-specific and market-specific events.
</Update>

<Update label="2026-01-29" tags={["Tools", "Country Tearsheet"]} rss={{ title: "Country Tearsheet Tool Enhancements", description: "The second iteration of the **Country Tearsheet** introduces enhancements designed to improve clarity, data context, and analytical usability." }}>
    **Country Tearsheet Tool Enhancements**

  The second iteration of the Country TearSheet (**`bigdata_country_tearsheet`**) brings more clarity and control, helping users and agents better interpret macro trends in the right temporal context.

  * **Country-Level Filtering**: Users can now filter macroeconomic data directly at the country level, enabling more precise analysis.
  * **Explicit Dates Added to Macro Data**: All macroeconomic data points now include clear month-level date references.
  * **Comparison Table Date Visibility**: Dates have been added to the G7 comparison table, clarifying the timeframe each indicator represents.
</Update>

<Update label="2026-01-23" tags={["Tools", "Country Tearsheet"]} rss={{ title: "Country Tearsheet Tool (Beta) Launch", description: "This release introduces the first **beta version of the Country Tearsheet** in MCP" }}>
    **Country Tearsheet Tool (Beta) Launch**

  This release introduces the first **beta version of the Country Tearsheet** in MCP (**`bigdata_country_tearsheet`**), providing a consolidated view of key macroeconomic events and indicators at the country level.

  * **Macroeconomic Events Overview**: View upcoming macroeconomic events as well as the most recent data releases for a given country.
  * **Initial Country Coverage**: Coverage is currently limited to **G20 countries** as an initial step to showcase the tool.
  * **G7 Comparison Section**: Benchmark a selected country against major economies using key macroeconomic indicators, including:
      - GDP (QoQ)
      - GDP (YoY)
      - GDP (Annualized)
      - CPI (YoY)
      - Unemployment Rate
      - Interest Rate
</Update>

<Update label="2026-01-23" tags={["Tools", "Public Company Tearsheet"]} rss={{ title: "Public Company Tearsheet Enhancements", description: "Improvements and refinements made to the **Public Company Tearsheet" }}>
  **Public Company Tearsheet Enhancements**

  This release delivers a set of improvements and refinements to the **Public Company Tearsheet** (**`bigdata_company_tearsheet`**), focused on event discovery, data relevance, and overall data quality.

  * **Events Calendar Enhancements**
    * For a **specific company**, users can now view **today’s, upcoming, and historical events**.
    * For a **specific country, sector, or exchange**, users can now view **today’s, upcoming, and historical events** across companies.

  * **Quarterly Data Window Update**
    * Quarterly metrics have been updated from **20 quarters (5 years)** to a **rolling 8 quarters (2 years)** to improve relevance and readability.

  * **Stock Peers Section Removed**
    * The Stock Peers section has been temporarily removed due to data quality limitations.
    * This section will be reintroduced once more reliable and consistent peer data is available.
</Update>

<Update label="2026-01-19" tags={["Tools", "Private Company Tearsheet"]} rss={{ title: "Private Company Tearsheet Launch", description: "This release delivers incremental improvements to Public Company Tearsheets, including broader data coverage" }}>
  **Private Company Tearsheet Launch**

  This release introduces the first version of the **Private Company Tearsheet** in MCP (**`bigdata_company_tearsheet`**), providing a structured, consolidated view of private company data. Users can now access key company details, leadership, financing, investments, and founder information in a format aligned with Public Company Tearsheets.

  * **Company Overview**: High-level profile including core identifiers, sector, industry, and descriptive metadata.
  * **Leadership Team**: Key executives and management team information.
  * **Financing**: Details on funding rounds, capital raised, and financing history.
  * **Investments Made**: Overview of investments made by the company, including portfolio companies and transaction details.
  * **Founders**: Information on founders, including background and ownership stakes where available.
</Update>

<Update label="2026-01-15" tags={["Tools", "Public Company Tearsheet"]} rss={{ title: "Earnings Calendar Added to Public Company Tearsheet", description: "This release delivers incremental improvements to Public Company Tearsheets, including broader data coverage" }}>
  **Earnings Calendar Added to Public Company Tearsheet**

  The Tearsheet (**`bigdata_company_tearsheet`**) now includes both previous and upcoming earnings events, giving users a clearer view of recent disclosures and what’s coming next.
</Update>

<Update label="2026-01-15" tags={["Deep Research", "OpenAI"]} rss={{ title: "New MCP Tool Specialized for Deep Research Models", description: "Beta release of a new MCP tool optimized for OpenAI Deep Research models like o3, enabling professional research reports in under 30 minutes" }}>
  **New MCP Remote Server Specialized for Deep Research Models (Beta)**

  We are excited to announce the beta release of a new Remote MCP server with `search` and `fetch` tools that comply with OpenAI Deep Research model standards. These tools allow you to leverage Bigata.com's financial premium content to generate professional-grade research reports in under 30 minutes with full inline source attribution.

  * **Remote MCP for Deep Research (Beta)**: `https://mcp.bigdata.com/deepresearch/`

  It will coexist with our current Remote MCP Server `https://mcp.bigdata.com` which is already Generally Available (GA).

  To request access to the Beta program, please contact [support@bigdata.com](mailto:support@bigdata.com).

  Check out the [Deep Research with Bigdata MCP](/mcp-reference/api-integrations/mcp-api-deep-research) guide to get started.
</Update>

<Update label="2026-01-09" tags={["Tools", "Public Company Tearsheet"]} rss={{ title: "Fund Trends History Added to the Public Company Tearsheet", description: "Historical Fund Trends data giving you visibility into how institutional positioning has evolved over time" }}>
  **Fund Trends History Added to the Public Company Tearsheet**

  This is a key building block for enriching the Tearsheet (**`bigdata_company_tearsheet`**) with ownership and flow context, helping you understand how sentiment and positioning around a company has changed, not just where it stands today.
</Update>

<Update label="2026-01-09" tags={["Claude", "Prompts"]} rss={{ title: "Prompt Templates for Financial Reports in Claude Desktop", description: "Beta feature: Claude Desktop users can quickly use prompt templates to create professional financial reports" }}>
  **Prompt Templates for Financial Reports in Claude Desktop (Beta)**

  Claude Desktop users can now quickly use prompt templates to create professional financial reports. This beta feature provides four specialized report templates:

  * **Company Brief**: Categorized synthesis of company-specific developments from press releases.
  * **Earnings Preview**: Detailed earnings preview analysis triggered 5 days before the earnings announcement.
  * **Earnings Digest**: Structured analysis of quarterly financial results and management commentary.
  * **Risk Assessment**: Comprehensive risk analysis using 10-K risk factors, recent filings, and news.

      <img src="https://mintcdn.com/ravenpackinternational/8W2XG93yd0x7KN7s/images/mcp/claude/claude_mcp_prompts.png?fit=max&auto=format&n=8W2XG93yd0x7KN7s&q=85&s=43e9cbcf5498e4f764b2b9dfe41dfd84" alt="Claude MCP Prompts" width="1141" height="708" data-path="images/mcp/claude/claude_mcp_prompts.png" />

  To request access to the Beta program, please contact [support@bigdata.com](mailto:support@bigdata.com).
</Update>

<Update label="2025-12-12" tags={["Tools", "Public Company Tearsheet"]} rss={{ title: "Introducing Public Company Tearsheets in MCP", description: "Introduces the first version of the Public Company Tearsheet in MCP, providing a consolidated view of key company data including financials, earnings, sentiment, and peer context" }}>
  **Introducing Public Company Tearsheets in MCP**

  The Public Company Tearsheet (**`bigdata_company_tearsheet`**) brings together company overview data, financial summaries, earnings information, and sentiment insights into a single, unified view.

  * **Company Overview Section:**
    Added a high-level company profile including core identifiers, sector classification, and key descriptive information.

  * **Financial Summary Data:**
    Added core financial metrics and summaries to provide a snapshot view of company performance.

  * **Earnings Information:**
    Added earnings history and upcoming earnings events to support tracking of reporting activity.

  * **Fund Holdings Data**
    Added fund holdings information, providing visibility into institutional ownership and fund-level exposure for public companies.

  * **Sentiment insights:**
    Added sentiment data to the Tearsheet, enabling users to view sentiment signals alongside financial and company information.
</Update>

<Update label="2025-12-12" tags={["Tools"]} rss={{ title: "New Remote MCP Tools for Financial Reports", description: "Added three new remote MCP tools: find_companies, bigdata_events_calendar, and bigdata_company_tearsheet for comprehensive financial reporting" }}>
  **New Remote MCP Tools for Financial Reports**

  Customers can now create comprehensive financial reports using three new remote MCP tools:

  * **`find_companies`**: Identify a private or public company by name and returns the Knowledge Graph ID to use as input in other tools.
  * **`bigdata_events_calendar`**: Returns the corporate earnings calendar and conference call schedule.
  * **`bigdata_company_tearsheet`**: Get a comprehensive company tearsheet with financial data, market intelligence, and analyst coverage. This tool aggregates 10+ Bigdata.com API endpoints to provide a complete financial picture.

  Check out the latest tools and prompt examples in the [Available Remote MCPs section](/mcp-reference/introduction#available-remote-mcps-today).
</Update>

<Update label="2025-12-05" tags={["OAuth"]} rss={{ title: "OAuth Authentication for Agentic Platforms", description: "Added OAuth authentication support for Claude Desktop, ChatGPT, and Microsoft Copilot to use Bigdata remote MCPs" }}>
  **OAuth Authentication for Agentic Platforms**

  Customers' Agentic platforms such as Claude Desktop, ChatGPT, and Microsoft Copilot can now use Bigdata remote MCPs with OAuth authentication. This enables seamless integration with world-class agentic platforms.

  Once connected, all users in your subscription can start using the Bigdata.com MCP tools to create and automate real-time and trusted financial reports.

  More details in the integration guides: [Claude MCP Integration](/mcp-reference/oauth-integrations/claude-mcp-integration), [ChatGPT MCP Integration](/mcp-reference/oauth-integrations/chatgpt-mcp-integration), and [MS Copilot MCP Integration](/mcp-reference/oauth-integrations/microsoft-copilot-mcp-integration).
</Update>

<Update label="2025-07-14" tags={["Tools", "API_Keys"]} rss={{ title: "Bigdata Search Service via Remote MCP with API Keys", description: "Added support for using the Bigdata Search Service via remote MCP tool bigdata_search using API Keys" }}>
  **Bigdata Search Service via Remote MCP with API Keys**

  Customers' Agentic platforms can now use the Bigdata Search Service via the remote MCP tool `bigdata_search` using API Keys. This allows you to ground your AI responses with real-time data from the Bigdata Search Service.

  The `bigdata_search` tool enables you to search for insights in **news**, regulatory **filings**, earnings call **transcripts**, **podcasts**, **expert interviews**, financial **research** and **uploaded documents** with similarity search.

  Check out how Bigdata.com can ground OpenAI Responses in the [Grounding OpenAI Responses guide](/mcp-reference/openai-bigdata-search).
</Update>

<Update label="2025-05-01" tags={["Code Assistant"]} rss={{ title: "Docs MCP Tool for Code Assistant", description: "Added Docs MCP tool to help code assistants leverage Bigdata.com documentation to create scripts that integrate with Bigdata Services" }}>
  **Docs MCP Tool for Code Assistant**

  Customers can now leverage all the information in the Bigdata documentation to help the code assistant create scripts that integrate with Bigdata Services. The Docs MCP tool provides your Code Assistant with access to comprehensive Bigdata.com documentation, enabling it to build workflows and integrate with Bigdata Services more effectively.

  More details in the [Docs MCP tool guide](/mcp-reference/code-assistant-tool).
</Update>