Dun & Bradstreet’s ChatD&B offers a powerful, AI-driven chat interface that simplifies how organizations research and assess companies. Instead of traditional complex filtering, users interact naturally by asking questions in their own words to receive tailored insights such as company financials, risk scores, and market data. The platform taps into the vast Dun & Bradstreet Data Cloud to deliver real-time, reliable information that supports smarter, faster business decisions. Enhanced features include visibility into the data sources behind results, chat history for audit trails, and quick answers to product-related queries. ChatD&B is designed to optimize workflows across sales, finance, and risk management by providing instant access to trusted company data. It helps teams discover new opportunities, evaluate customers, and make confident decisions all through easy chat conversations. The platform also enables better compliance and verification by allowing users to track and reference past interactions. With ChatD&B, organizations can accelerate growth and reduce operational friction.
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As fast as it takes to make a cup of coffee, grab powerful charts and add real-time financial information to your website. Simply copy and paste our iFrame codes, and you're good to go. Our display ratings make it easy to see the technical analysis of a symbol. This widget is ideal for macro-level analysis of the markets. This widget is especially useful on homepages. The widget displays the top five most active stocks, as well as the losing and winning stocks. It updates based upon current market activity so you always see the most relevant stocks. Keep an eye out for announcements and important economic events. You can also set up filters in just a few clicks. Our scrolling ticker tape allows you to go vintage Wall Street. This stock exchange-style ticker can be embedded in just a few clicks. You don't need a power suit or expensive watch.
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Equibles
Equibles is an advanced platform that harnesses AI technology to provide comprehensive US stock-market data tailored for both investors and developers. It offers a wide array of resources including full-text search for SEC filings, transcripts from earnings calls, details on 13F institutional holdings, insider trading information, congressional trades, short interest metrics, and squeeze scores, along with macroeconomic data from FRED, CFTC, and CBOE, as well as valuation multiples and an efficient stock screener. All of this information is made accessible through an AI research assistant named ALVIS, a hosted Model Context Protocol (MCP) server, and a public REST API that is meticulously documented using OpenAPI standards. Users can benefit from a free tier that allows up to 100 API calls per day without requiring a credit card, making it an attractive option for those looking to explore stock data. Additionally, the platform's ease of use and powerful tools empower users to make informed investment decisions.
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Search10K
Search10K is an innovative AI platform designed to transform SEC filings into concise, actionable insights tailored for equity researchers, investors, analysts, and competitive intelligence teams. Users can search using keywords or tickers while benefiting from synonym expansion, filter through multiple companies simultaneously, and minimize false positives by excluding exhibits, allowing them to quickly access key highlighted passages. The platform also features a Theme Browser for exploring pre-made themes or creating custom ones, enabling users to monitor sentiment and risk trends over time, compare peers, and identify significant signals such as M&A activity through intuitive dashboards and treemaps. Additionally, users have the capability to export filings in bulk as HTML, download results in CSV format, set up alerts, and seamlessly integrate with their existing workflows via APIs, ensuring that both new and historical filings are consistently updated. This comprehensive tool empowers users to make more informed decisions based on the wealth of data available in SEC filings.
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