Alternative data datasets
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S&P 500 earnings-call transcripts preprocessed into optimized Parquet, tens of thousands of calls (MIT). Ready for sentiment, QA and summarization research on the large-cap earnings season.
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Backend system that processes raw, unformatted sources through tailored pipelines to produce clean, structured data.
Daily oil prices, vessel attacks, carrier statuses & rerouting costs during the
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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.
Managed pipelines that convert public web pages into clean structured feeds at scale, with quality control suited to pricing and catalogue intelligence.
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Corporate and sovereign-level information supporting SFDR compliance regarding Principal Adverse Impact disclosures.
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Application that assesses whether patients meet the criteria to participate in a clinical trial.
Clinical Trial Automation Suite.
Earnings Call LLM Insights 📚 Read the Full Story: For a deep dive into the methodology, the wildest moments we found, and key takeaways, check out the blog post:KnowTrend.ai: Auto-Grading Ten Years of Earnings Calls for Prescience and Delusion This dataset contains LLM-generated analysis of ~70,000+ earnings call transcripts. The analysis was performed using Kimi k2-0905-preview, focusing on extra
Earnings-call transcripts for S&P 500 companies, tens of thousands of calls in English with timestamps, in Parquet (MIT). Direct input for call-tone and question-and-answer sentiment analysis across the large-cap earnings cycle.
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5,000 Global Clinical Trials: Drug Pipeline, Phases & Sponsors
Get a data sample: Market Inside provides 190+ countries Cargo Bill of Lading data to Unlock trade insights of Cargo movements from BL Documents reported by freight forwarders and shipping companies involved.
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Identify connections originating from VPNs, proxies, hosting environments, and other IP-masking services.
Spot traffic routed through proxy servers, virtual private networks, hosting facilities, and additional IP-anonymization methods.
Pinpoint the geographic location of an IP address down to the city, postal code, and a defined accuracy radius.
Classify how a user is connecting to the internet, whether via cellular, cable, corporate, or satellite networks, using their IP.
Deliver fast and dependable IP-to-location mapping at the country and continent scale.
Resolve the second-level domain names linked to a given IP address.
Surface the ISP, organizational owner, and Autonomous System Number tied to an IP address.
An opt-in email receipt panel that turns online purchase confirmations into estimated merchant-level sales figures.
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