Alternative data datasets
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Corporate information designed to assist with reporting requirements tied to climate risks and EU Taxonomy GAR, BTAR, and PAB standards.
Corporate participation in fossil fuel extraction, power generation, nuclear energy, and renewable sources.
Records on corporate directors used to analyze board autonomy, expertise, demographic composition, committee roles, and meeting participation.
Corporate and sovereign-level information supporting SFDR compliance regarding Principal Adverse Impact disclosures.
S&P 500 Corporate Filings (SEC EDGAR 10-K & 8-K Archive) Overview This dataset contains clean, structured public data exported directly from production runs of Apify actors. It serves as a benchmark and sample for lead qualification, market intelligence, research, and machine learning pipelines. Source Actor: captainhandsome/sec-edgar-filings-search Dataset Page: Public sample and schema Preconfig
Machine-readable extraction of financial and operating figures drawn from publicly filed corporate documents.
Enterprise-grade datasets spanning lawsuits, regulatory actions, real-estate records, corporate information and identity risk for due-diligence workflows.
Signals on corporate workforce shifts, including new hiring, employee departures and internal reorganizations.
Classify how a user is connecting to the internet, whether via cellular, cable, corporate, or satellite networks, using their IP.
Specialized measurements track corporate media presence, flagging atypical surges in coverage and quantifying alignment across sources.
Aggregated analyst projections for corporate profits and sales, combined with price targets and professional buy or sell ratings.
Tool for pinpointing financially significant ESG risks and evaluating their potential effect on long-term corporate performance.
Targeted research and datasets focused on niche sectors, private firms and specialised investment topics.
Records on over 26 million French enterprises, each with corporate legal data, industry classification, officer listings, and financial indicators like revenue and earnings.
Information on more than 1.5 million Swiss firms, including legal status, sector classification, leadership, complete corporate timeline, and associated individual records.
Live ADS-B transponder broadcasts picked up by a community-operated sensor network covering aircraft worldwide, open to free historical access for research, a practical proxy for flight activity, tourism and corporate-jet movements.
Complete textual SEC 10-K annual filings from 2021, suited for studying corporate disclosures and natural language processing tasks.
Cross-country comparison of carbon dioxide emissions from oil and gas fields by nation, operator, and corporate entity.
NLP-derived sentiment ratings and behavioral indicators extracted from corporate transcripts.
Panjiva-derived trade records from shipping manifests that map corporate import and export links and quantify global commerce volumes.
Procurement and spend records aggregated from public sources across countries, for supplier analysis and due-diligence.
An artificial intelligence system performs context-aware searches over social posts and news content, designed for corporate risk management.
No-code visual harvesting tools plus fully operated data collection services that funnel recurring website information into corporate data systems.
Asia-Pacific web-traffic figures linked to more than three thousand stock tickers, with automatic alignment between listed entities and their corporate parents or subsidiaries.
Web traffic and user engagement growth statistics spanning over three million public and private corporate sites, intended for private equity and venture capital sourcing and competitive evaluation.
Earnings Call Transcript Lite is a small public-records dataset of corporate earnings call transcripts paired with short reference summaries. It is distributed as a CSV and is published on the Hugging Face Hub under an unstated license.
Statistical and survey-based research that benchmarks corporate practices and market dynamics across sectors.
TEJ has categorized and assigned scores to corporate announcements from listed firms along with media-reported news events.
Worldwide inventory of corporate pledges and decarbonization commitments with detailed context.
Trading calendars populated by detected corporate events including investor relations conferences and public filing dates.
ZipLime US Insider Trading Disclosures (PIT) [!CAUTION] Use knowledge_date, not transaction_date, when backtesting. transaction_date says when a trade occurred; knowledge_date says when the filing became observable through EDGAR. Using the former as the signal date introduces look-ahead bias. visible = trades.filter(pl.col("knowledge_date") <= simulation_time) This dataset normalizes corporate-ins
Top-tier B2B contact and corporate information used for business intelligence workflows.