Ambriel vs Dividend Data

Advanced Fraud Detection

Ambriel's advanced fraud detection capabilities utilize data from over 200 sources, employing AI-driven risk scoring to identify suspicious activities in real-time. This feature is crucial for protecting revenue before fraudulent actions can take place, enabling organizations to maintain their financial integrity.

Sanctions & PEP Screening

The platform offers automated screening against more than 100 global sanctions, politically exposed persons (PEP), and crime lists. This feature eliminates the need for manual checks, ensuring compliance with regulatory requirements while significantly speeding up the onboarding process for new users.

Continuous Monitoring

Ambriel enables 24/7 monitoring of transactions and accounts, providing alerts on unusual patterns and activities. This continuous oversight is essential for identifying and addressing potential fraud cases before they escalate into costly incidents, thereby enhancing overall security.

Seamless Onboarding

The platform allows organizations to customize onboarding flows with automated checks that ensure only trusted customers and sellers are accepted. This seamless onboarding process helps organizations reduce fraudulent registrations and enhances the overall user experience.

Comprehensive Spreadsheet Integration

The platform provides seamless integration with both Google Sheets and Microsoft Excel via dedicated add-ins. Users access data through 16+ custom functions, such as DIVIDENDDATA_DIVIDENDS, DIVIDENDDATA_RATIOS, and DIVIDENDDATA_QUOTE. These functions allow for dynamic, live data retrieval directly into spreadsheet cells, transforming static sheets into powerful, auto-updating analysis tools. The integration requires no coding, maintaining the familiar spreadsheet environment while supercharging its capabilities with professional data feeds.

Extensive Historical & Fundamental Data Library

Dividend Data grants instant access to a deep historical database covering 30+ years of market data. This includes not only dividend history and forward-looking metrics but also complete fundamental data: income statements, balance sheets, cash flow statements, and over 100 key financial ratios (e.g., P/E Ratio, Debt-to-Equity). The coverage of 80,000+ tickers ensures data is available for a vast array of global stocks, ETFs, and other securities, supporting thorough historical trend analysis and comparative fundamental research.

Dividend-First Analytical Functions

Tailored specifically for income investors, the tool offers specialized functions that output critical dividend metrics. Users can retrieve forward annual dividends, forward dividend yields, next ex-dividend dates, payout ratios, and dividend growth rates with single formulas. This focused feature set allows for rapid screening, yield calculation, and sustainability analysis directly within a portfolio model or research sheet, streamlining the workflow for constructing and monitoring dividend growth portfolios.

Free Tier with Generous Monthly Credits

A key differentiator is the sustainable free access model. The platform offers a permanent free tier that provides 2,500 credits per month without trial expiration or credit card requirements. This allows users to perform substantial monthly analysis, such as pulling data for hundreds of stock queries, at zero cost. This model lowers the barrier to entry for individual investors and provides real utility before any upgrade consideration.

Onboarding & Registration Fraud

Ambriel effectively detects fake accounts, synthetic identities, and bot-driven signups during the onboarding process. This capability prevents malicious actors from exploiting the platform before they can cause any harm, thereby safeguarding user trust from the outset.

Payment & Transaction Fraud

With the ability to monitor real-time transactions, Ambriel spots anomalies that may indicate payment or transaction fraud. This proactive approach helps organizations prevent chargebacks and block fraudulent transfers, protecting financial resources effectively.

Bonus & Promotion Abuse

Ambriel helps organizations combat multi-accounting, referral scams, and the exploitation of promotional incentives. By identifying suspicious behaviors, this feature ensures that rewards are fairly distributed and that promotional strategies remain effective.

Claims & Payout Fraud

The platform flags suspicious claims and payout attempts, employing automated risk scoring specifically designed for fintech and insurance sectors. This feature enhances the integrity of claims processing and minimizes the risk of financial losses due to fraudulent activities.

Automated Dividend Portfolio Tracking

Investors can build a dynamic dividend portfolio tracker in their preferred spreadsheet. By using formulas like DIVIDENDDATA_DIVIDENDS to pull yield and payment data for each holding, the portfolio sheet can automatically calculate projected annual income, portfolio yield, and track ex-dividend dates. This eliminates manual data entry and ensures the portfolio dashboard always reflects the latest declared dividends and share prices.

Fundamental Stock Screening and Analysis

Analysts and investors can create custom stock screens using the live data functions. By building a sheet with columns for various metrics (e.g., P/E ratio, dividend yield, payout ratio, EPS growth), users can paste a list of tickers and instantly populate a comparable analysis matrix. This facilitates rapid identification of stocks meeting specific fundamental criteria, such as those with a yield above 3%, a P/E below 20, and a payout ratio under 60%.

Historical Financial Performance Research

For deep-dive research on a specific company, users can construct multi-year financial models. Formulas can pull 10+ years of annual revenue, net income, EPS, and dividend per share data into adjacent columns, enabling the creation of charts and the calculation of compound annual growth rates (CAGR) for critical financial metrics. This supports thorough due diligence on a company's long-term financial health and dividend growth trajectory.

Educational Modeling and Backtesting

Students and investing enthusiasts can use the historical price and dividend data to build educational models. For instance, they can create a sheet to backtest a dividend reinvestment plan (DRIP) strategy by pulling historical prices and dividend dates to simulate growth over time. This hands-on access to real historical data provides a practical tool for learning about equity analysis and portfolio mechanics.

Ambriel is an advanced, enterprise-grade fraud intelligence and risk management platform designed to enhance the security of digital business operations. It caters to organizations across various high-velocity sectors, including fintech, marketplaces, retail/e-commerce, iGaming, insurance, and cryptocurrency platforms. The platform's primary function is to enable proactive detection, scoring, and prevention of fraudulent activities, ensuring that revenue is safeguarded and regulatory compliance is maintained. Ambriel stands out in its ability to provide robust security and compliance controls while ensuring seamless interactions for legitimate users. Its architecture integrates multiple critical risk assessment modules, such as behavioral analytics, device intelligence, global sanctions screening, and AI-driven risk scoring, into a cohesive ecosystem. This integration facilitates real-time analysis of transactions, user behaviors, device fingerprints, and network signals, allowing organizations to uncover sophisticated risk patterns and automate their mitigation strategies effectively.

Dividend Data is a specialized financial data platform engineered to provide institutional-grade stock market intelligence directly within the workflow of fundamental and dividend investors. Its core product is a powerful spreadsheet add-in for Google Sheets and Microsoft Excel that eliminates the traditional barriers to accessing deep financial data. The platform delivers over 30 years of historical and real-time data for more than 80,000 global tickers through a suite of simple, custom spreadsheet formulas. Users can instantly pull critical metrics such as dividend amounts, yields, payout ratios, growth rates, complete financial statements, earnings data, valuation ratios, and price history without requiring API keys, coding knowledge, or manual copy-pasting from external sources. Built by a dividend investor for the community, Dividend Data distinguishes itself with a permanently free tier offering 2,500 monthly credits, robust functionality across both major spreadsheet ecosystems, and a focus on the specific data points that income-focused and value investors need to make informed decisions. It is designed for individual investors, financial analysts, and portfolio managers who demand comprehensive, reliable data but seek to avoid the complexity and high cost typically associated with professional financial data terminals.

What industries can benefit from Ambriel?

Ambriel is designed for high-velocity digital sectors such as fintech, retail/e-commerce, iGaming, insurance, marketplaces, and cryptocurrency platforms, providing tailored solutions for fraud prevention.

How does Ambriel integrate with existing systems?

Ambriel offers seamless integrations with popular platforms like Magento, WooCommerce, and Wix Commerce. This flexibility allows businesses to enhance their fraud detection capabilities without disrupting their existing workflows.

Is Ambriel compliant with global regulations?

Yes, Ambriel adheres to various global compliance standards, including PCI DSS, ISO 27001, GDPR, and AML regulations. This ensures that organizations can operate within legal frameworks while maintaining robust security measures.

How quickly can organizations see results with Ambriel?

Organizations have reported significant reductions in fraudulent activities, with some seeing cuts of over 60% in fraudulent registrations within weeks of implementing Ambriel's solutions. This rapid effectiveness underscores the platform's capabilities in fraud prevention.

What data can I access with the free tier?

The free tier provides full access to all of Dividend Data's 16+ custom functions and the entire database of over 80,000 tickers and 30+ years of history. Your usage is limited by a monthly credit allowance of 2,500 credits. Each data point retrieved (e.g., one cell with a price, a dividend yield, an EPS figure) typically consumes one credit. This allows for hundreds to thousands of data points per month, suitable for substantial personal analysis and portfolio tracking.

How does the spreadsheet add-in get installed?

For Google Sheets, you install the "Dividend Data" add-on directly from the Google Workspace Marketplace. For Microsoft Excel, you install the "Dividend Data" add-in from the Microsoft AppSource store within Excel. Both processes are straightforward, following the standard installation flow for each platform. Once installed, the custom functions become available in your spreadsheet, and you can start using them immediately after a quick account sign-up.

Is the data provided live and real-time?

The data is live and reflects the most recent information available from Dividend Data's providers. For market quotes like stock price, it is typically real-time or delayed based on the data feed. Fundamental data, such as financial statements and dividends, is updated as soon as the information is publicly released and processed. The average response time for a data request is 0.84 seconds, ensuring your spreadsheets update quickly.

Do I need to know how to code or use APIs?

No coding or API knowledge is required. Dividend Data is designed specifically to be a no-code solution. All data integration is handled through simple, pre-built spreadsheet formulas that work identically to native functions like SUM() or VLOOKUP(). You only need to know the ticker symbol and the metric code (provided in the documentation) to retrieve any data point.

Ambriel is a sophisticated unified risk engine designed to combat real-time fraud by utilizing AI across various user interactions, devices, and transactions. Positioned in the realm of enterprise-grade fraud intelligence and risk management, it aims to safeguard digital business operations in sectors such as fintech, e-commerce, and insurance. Users often seek alternatives to Ambriel due to considerations like pricing, specific feature sets, or the need for integration with unique platforms or workflows that better align with their operational requirements. When exploring alternatives, it is essential to assess the scalability of the solution, the comprehensiveness of its fraud detection capabilities, and the level of automation in compliance processes. Additionally, understanding the user experience and how seamlessly the alternative integrates with existing systems can significantly influence the decision-making process.

Dividend Data is a specialized financial data add-on for Google Sheets and Microsoft Excel, falling into the category of fundamental and dividend investment analysis tools. It provides direct spreadsheet integration for historical dividend data, financial statements, and key metrics without requiring programming skills or API management. Users may explore alternatives for various reasons, including specific budget constraints, the need for different data points like options or macroeconomic indicators, integration with other platforms such as trading software, or a preference for a standalone desktop application rather than a spreadsheet add-on. The core requirement often remains consistent: reliable, historical financial data to inform investment decisions. When evaluating an alternative, key considerations should include the depth and historical range of the dividend dataset, the total cost relative to your data consumption, the ease of integration with your existing workflow, and the breadth of supplementary fundamental metrics offered, such as financial ratios and earnings data.