Aggregated Jobs Data Added to Company TearsheetThe Company Tearsheet now includes aggregated jobs data across all subsidiaries under a parent company, providing a more complete view of organizational hiring activity.
Includes
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Parent-Level Aggregation
- Hiring data now reflects job activity across the full subsidiary structure, not just the parent entity.
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Expanded Growth Visibility
- Captures workforce expansion signals across the broader corporate footprint.
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.”
Daily Sentiment Indicator for Company TearsheetsWe 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.
Currency Coverage Added to Country TearsheetCountry 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.
Sector Filtering Added to Events CalendarThe Events Calendar (
bigdata_events_calendar) now supports sector-level filtering, allowing users to quickly identify relevant industry-specific developements and announcements. Indices Added to Country TearsheetKey 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.
Tearsheet Layout Consistency ImprovementsThis 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.
Jobs Data Added to Public & Private Company TearsheetsJobs 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.
Revamped Events CalendarThe 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.
Country Tearsheet Tool EnhancementsThe 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.
Country Tearsheet Tool (Beta) LaunchThis 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
Public Company Tearsheet EnhancementsThis 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.
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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.
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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.
Private Company Tearsheet LaunchThis 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.
Earnings Calendar Added to Public Company TearsheetThe 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.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/
https://mcp.bigdata.com which is already Generally Available (GA).To request access to the Beta program, please contact support@bigdata.com.Check out the Deep Research with Bigdata MCP guide to get started.Fund Trends History Added to the Public Company TearsheetThis 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.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.
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Risk Assessment: Comprehensive risk analysis using 10-K risk factors, recent filings, and news.
Introducing Public Company Tearsheets in MCPThe 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.
New Remote MCP Tools for Financial ReportsCustomers 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.
OAuth Authentication for Agentic PlatformsCustomers’ 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, ChatGPT MCP Integration, and MS Copilot MCP Integration.
Bigdata Search Service via Remote MCP with API KeysCustomers’ 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.Docs MCP Tool for Code AssistantCustomers 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.