Alternative data datasets
Browse by provider, category, marketplace, access, delivery and license
Estimated figures for app downloads, monetization and SDK adoption applied as indirect measures of user engagement in public technology companies.
Quarterly Earnings Call Transcripts for 10 NASDAQ companies from 2016-2020
Daily organized dataset measuring technology hiring pace and engineering job openings at large U.S. companies.
This data feed provides access to the last 3 months of job postings from the APAC region. On average, we add 44k new job postings daily. Old files with job postings are removed after 100 days. Utilize this data to gain actionable insights into companies, markets, services, or technologies, or to backfill a job board. Identify company signals, analyze hiring trends, spot emerging technologies, and
This data feed provides access to the last 3 months of job postings from all Countries (Global). On average, we add 184k new job postings daily. Old files with job postings are removed after 100 days. Utilize this data to gain actionable insights into companies, markets, services, or technologies, or to backfill a job board. Identify company signals, analyze hiring trends, spot emerging technologi
This data feed provides access to the last 3 months of job postings from the United States (US). On average, we add 29.8K new job postings daily. Old files with job postings are removed after 100 days. Utilize this data to gain actionable insights into companies, markets, services, or technologies, or to backfill a job board. Identify company signals, analyze hiring trends, spot emerging technolog
Built for use with Accenture's AI Refinery, the Supply Chain Demand Forecasting agent solution empowers CG&S companies with precision demand forecasting and actionable insights. By combining the power of generative AI and predictive analytics with real time data, this tool optimizes supply chain operations, reduces costs and enhances customer satisfaction.
A leak-free, chronologically ordered corpus of 8-K, 10-Q, and 10-K filings for roughly 610 present-day U.S. large-cap companies, each paired with objective forward-return labels through 2026. The release is structured as a benchmark for testing whether filing language can anticipate subsequent stock performance, with clearly separated provenance classes.
42,302 establishments across 714 US public companies. OSHA, WHD, NLRB, EPA,etc
Governance intelligence on boards of thousands of companies: directors, backgrounds, gender and skills.
A technographics record of the technologies installed across hundreds of millions of sites, used to track vendor wins and losses and technology adoption at public companies.
Intelligence on privately held businesses, including investment rounds, mergers and acquisitions, and industry trends.
A standardized disclosure platform aggregating climate, water and forestry reporting from over 23,000 corporations and public bodies, covering emissions, targets, risks and consumption.
A collection of earnings call transcripts covering S&P 500 firms and other U.S. large-cap companies across the years 2005 through 2025, intended for financial analysis, NLP modeling, and sentiment research.
Use Clarity AI's TCFD metric to evaluate how firms incorporate climate-related risks into their strategy.
Compensation benchmarks for executives and staff assembled from proxy disclosures filed by publicly traded companies.
A five-year historical archive suited to recruiting, workforce analytics, and contact augmentation.
Large-scale archive of current and past employment advertisements enabling labor market analysis and pattern detection.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
Get a data sample: Malaysian and Singaporean cross-border geospatial data providing geospatial insights into commuter and leisure traveler patterns, refreshed to power geospatial audience targeting and CRM enrichment for retail brands, financial institutions, and telecommunication companies in both
Get a data sample: Daily KPI estimates for 13 B2B software companies including HubSpot, Shopify, DocuSign, Okta, and MongoDB. 17 KPIs tracked spanning customers, ARR, GMV, MRR, and revenue. Built from technographic and web scraping data. 12-hour lag, delivered pre-market.
Computed metrics include news-based sentiment scores and the degree to which individual companies track commodity futures performance.
A startup intelligence source centered on Europe, documenting transactions, valuations, and regional ecosystems.
Cardholder spending information from a non-traditional panel, broken down by geography and merchant category.
S&P 500 companies historical prices with fundamental data
Continuously built knowledge graph indexing over thirty billion entities such as firms, offerings and individuals, accompanied by APIs that parse arbitrary web pages into structured JSON.
On-demand global maritime intelligence and freight analytics.
Maritime trade data and shipping market analytics.
A measure of how individual companies address the most relevant environmental, social, and governance challenges facing their industries.
Unprocessed ESG indicator values for more than four hundred companies included in the NASDAQ benchmark index.
Brand-level search performance figures tracked monthly and segmented by age group for fifty beauty technology and Korean cosmetics companies.
Brand-level search performance figures tracked monthly and segmented by age group for fifty beauty technology and Korean cosmetics companies.
Trading prices and liquidity metrics for shares of privately held companies in their later growth stages.
An aggregated feed that pulls job advertisements from a range of specialized employment websites.
Detailed energy datasets attributed to more than 30,000 publicly traded and privately held companies at both the corporate and asset levels.
Custom sourcing research for alternative datasets: structured briefs that map the available feeds to a specific investment thesis, rather than raw data sales.
Earnings call transcripts for S&P 500 and other large U.S. companies covering 2005 through 2025, useful for financial research, natural language processing, and sentiment analysis.
Japanese public companies have their consensus forecasts refreshed on a daily schedule.