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From ESG to Satellite and everything in between, the Open:FactSet Marketplace is your home for data that gives you an edge.

We work with data providers to review and integrate data before making it available so you can seamlessly link our data feeds to your models, systems, and proprietary datasets, freeing your team to generate ideas.

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Open data: Open possibilities

Discover pre-linked, harmonized 3rd party data from the most impactful providers alongside FactSet’s leading data feeds. Generate fresh ideas by building unique data combinations ahead of the market with instant access to new tools and cloud-based research and production environments.

Upgrade your
data pipeline

Open data: Open possibilities

Discover pre-linked, harmonized 3rd party data from the most impactful providers alongside FactSet’s leading data feeds. Generate fresh ideas by building unique data combinations ahead of the market with instant access to new tools and cloud-based research and production environments.

What's New

Alexandria Text Analytics - Commodity

Data Feed by Alexandria Technology

Alexandria’s Global Commodity dataset is the application of their proprietary algorithms on commodity-related news. Each article is summarized into a record of structured data which includes the type of commodity, the topic or news event, and the overall sentiment of the article based on their AI analyst’s assessment on how it will affect that commodity (positive impact, negative impact or neutral/no impact).

Economics Events Global

Real-Time ESG

Data Feed by Alexandria Technology

Alexandria’s global ESG Sentiment and Topics dataset is the application of proprietary algorithms on ESG-related news. Each company news article is summarized into a record of structured data showing the company, the topic, and the overall sentiment for that article . Each record of data represents an ESG topic being present in a news story.

ESG Sentiment COVID-19

Transcript Text Analytics

Data Feed by Alexandria Technology

Alexandria’s global transcripts dataset is the application of proprietary algorithms on company transcripts; as well as on earnings, investor, and all public company calls. Each transcript is parsed into many sections of structured data, each showing detail on what was said in that section including the topic, the sentiment, the speaker and more.

Transcripts Sentiment COVID-19

FDA Adverse Event Reporting System (FAERS)

Data Feed by Advera Health Analytics

Advera Health's FDA Adverse Event Reporting System Database is the gold standard for cleaned, de-duplicated, and dynamically linked FAERS data.

Deep Sector 20+ yrs COVID-19

Social Market Analytics, Inc. (SMA) S-Factor Sentiment

Data Feed by Social Market Analytics, Inc.

Social Market Analytics (SMA) S-Factor metrics provide quantitative measures of the intentions of professional investors as expressed on Twitter. SMA's metrics provide raw sentiment as well as a measure of sentiment on the security level relative to its history. Historical back-testing, independent research, and customer feedback support the fact that SMA insights are tradable and can deliver alpha. The SMA Sentiment Data Feed represents a new uncorrelated source of predictive information that can add value to predictive models.

Crowd Sourced Sentiment North America

Snowflake Data Marketplace

Solution by Snowflake

The Snowflake Data Exchange enables companies to easily source external data and combine it with their own internal datasets for better analytics and faster decision-making. Reduce query times from hours to seconds and enable secure collaboration across all data for all your business users, and your extended business ecosystem. Snowflake’s unique architecture simplifies the data pipeline and eliminates complexity, enabling every organization to be data-driven.

Data Management Analytics

State Street MediaStats and Media Linkages

Data Feed by State Street Associates

In partnership with MKT MediaStats LLC, State Street MediaStats quantifies content from over 100,000 digital media sources to analyze the potential impact of media chatter on US equities’ price fluctuations. Media Linkages gauge the size, strength and significance of dynamic inter-company relationships based on co-mentions in media.

Sentiment United States 5+ yrs

RoyaltyStat®

Data Feed by RoyaltyStat

RoyaltyStat® is the best-in-class, most up-to-date, and reliable source of royalty rates extracted from license agreements. RoyaltyStat’s royalty rates are used in transfer pricing, assets purchase price allocation (PPA), reasonable royalty infringement damages, and due diligence connected with tax and intellectual property litigation, business development connected with the acquisition or licensing of intellectual property, bankruptcy, and mergers and acquisitions.

Patents Private Markets Intellectual Property

MAER Stock Ranking Model

Data Feed by Mill Street Research

MAER, the Monitor of Analysts' Earnings Revisions, is a proprietary multi-factor equity ranking model. Updated monthly, it incorporates trends in analyst estimate revisions, price action and valuation to rank stocks globally with an intermediate-term (1-3 month) forecasting horizon.

Estimates Fundamentals Sentiment

Global Risk Analytics

Data Feed by Verisk Maplecroft

Verisk Maplecroft's Global Risk Analytics data encompasses over 150 ESG, climate, political and economic factors (indices) on a worldwide basis. The indices are built using proprietary methods from structured and unstructured datasets, drawing on ~800 underlying indicators. They are updated on an annual or quarterly basis.

ESG Global COVID-19

Insights

At a Glance: Mill Street Research MAER Stock Ranking Model

Developed and produced by Mill Street Research, MAER (an acronym from its original name, the Monitor of Analysts Earnings Revisions) is a carefully constructed, institutional-grade multi-factor global stock ranking model that has been used by demanding buy-side firms for years as part of their stock selection process.

At a Glance: ChinaScope SmarTag

SmarTag is ChinaScope’s flagship news analysis engine that deconstructs unstructured Chinese language text into structured machine-readable metadata and sentiment analysis. This data brings accessibility to Chinese news by allowing users to consume and aggregate sentiment indicators for news linked to Chinese companies.

At a Glance: FactSet Fundamentals Industry Metrics

FactSet Fundamentals Industry Metrics provides access to timely, comprehensive, and comparative information on securities in developed and emerging markets around the world.

At a Glance: FactSet Estimates Point-in-Time Consensus

FactSet Estimates Point-in-Time (PIT) Consensus is a global database, comprised of over 800 contributors, covering the markets of 90 countries, providing comprehensive Sell-Side broker estimates and statistics with daily updates and 10+ years of history.