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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

iApp

Data Feed by Aurora Mobile

iApp provides detailed mobile app usage information on any app in China, no matter how large or small. Some of the metrics provided include Install Base, New Users, Active Users including DAU and MAU, Time Spent, Geographical Breakdown and Demographics. Data is self-sourced, from Aurora Mobile’s market leading position in providing SDKs for developers, with the largest SDK for push notifications. Currently, over 1.4 million apps use their SDKs, growing at over 1,000 apps per day. iApp’s sample size is the largest in the market with over 1.3 billion unique mobile devices per month, or over 90% of the devices in China. The data is updated with a lag of T+3 and history goes back to 2016.

App Usage COVID-19 Asia

ISS ESG Carbon & Climate Impact Data

Data Feed by ISS ESG

The ISS ESG Carbon & Climate Impact data feed is a comprehensive product incorporating carbon footprint, climate impact, scenario analysis, Carbon Risk Rating, energy & extractives involvement, and Potential Avoided Emissions data. The carbon data covers companies’ scope 1 (direct) & scope 2 (indirect) GHG emissions and intensity, scope 3 (other indirect emissions), and transitional and physical climate risks for 25,000+ global companies. The Energy & Extractives data set contains 200+ factors, including revenue share, capacity, output and volume. Users can evaluate 18,000 companies for detailed fossil fuel and power generation involvement to acquire a deeper climate risk understanding.

ESG 5+ yrs Global

Smart Climate® E-Scores

Data Feed by Entelligent

Smart Climate® E-Scores measure sensitivity to climate risk. Combining a top-down approach with an Integrated Assessment Model (IAM), Entelligent provides the next generation solution for low carbon impact investing. Entelligent’s proprietary research methodology integrates energy volatility, climate risk data and financial information of public equities to predict returns based on customizable global inputs. The Smart Climate® E-Scores use multiple future climate scenarios to compute the variance among Entelligent’s predicted returns as a climate risk indicator. Entelligent’s approach complements other ESG methodologies that collect and aggregate micro-level data to gauge risks and opportunities.

ESG Estimates Economics

FactSet Document Distributor - Events Audio

Data Feed and API by FactSet

Access a consolidated source of 500,000+ corporate event audio recordings for 10,000+ companies globally, totaling over 7 TB. Uncover valuable insights, judge sentiment, and unlock alpha based on speakers' tone, manner of speaking, pauses, and more. Pair with our Document Distributor - XML Transcripts product to add a text-based layer to your analysis and to gain access to information about call participants, mapped to FactSet symbology for full connectivity with other content sets. The data is updated on an intraday basis and historical files are available from 2004.

Events 15+ yrs Global

Homebuilders Signals Powered by Equifax

Data Feed by Lucena Research

Model portfolio predicting the homebuilders most-likely to outperform the sector. Multi-factor, AI-derived strategy constructed from monthly Equifax consumer credit data and key fundamentals.

United States <5 yrs Deep Sector

Retail and Autos Signals Powered by Equifax

Data Feed by Lucena Research

Gain access to a simple and cohesive daily output file consisting of ranking, confidence scores and signal-strength values derived from one or more datasets. Signals are predicated on machine learning multi-factor models customized to a specific asset universe and investment objective.

Fundamentals United States Deep Sector

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

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.