Ambriel vs Dividend Data

AI-Driven Risk Scoring Engine

At the heart of Ambriel is its sophisticated AI-driven risk scoring engine. This feature analyzes thousands of data points from user behavior, device intelligence, and transaction history in real-time to generate a dynamic risk score for every interaction. By leveraging insights from over 200+ data sources, it can accurately distinguish between legitimate customers and fraudulent actors, enabling automated decisioning for blocking, challenging, or approving actions before damage occurs.

Automated Sanctions & PEP Screening

Ambriel simplifies and secures compliance with automated global sanctions, Politically Exposed Person (PEP), and crime watchlist screening. The platform checks against 100+ updated global lists in real-time, eliminating the need for slow, error-prone manual processes. This ensures organizations can onboard users and process transactions with confidence, meeting stringent Anti-Money Laundering (AML) and Know Your Customer (KYC) requirements without impeding business growth.

Continuous Behavior & Transaction Monitoring

This feature provides 24/7 surveillance of user accounts and transaction streams. It establishes behavioral baselines for each user and continuously monitors for anomalies, such as unusual login locations, sudden changes in transaction values, or atypical account activity. The system proactively alerts security teams to suspicious patterns, allowing for intervention long before they escalate into confirmed fraud cases or costly chargebacks.

Customizable Onboarding & Case Management

Ambriel offers flexible tools to tailor the user onboarding journey with integrated fraud checks, ensuring only trusted customers and sellers are approved. Paired with a centralized case management dashboard, this feature allows security teams to efficiently review flagged events, investigate alerts, and manage fraud incidents from a single pane of glass, streamlining workflows and improving operational response times.

Extensive Custom Spreadsheet Functions

Dividend Data provides a specialized library of 16+ custom functions, such as DIVIDENDDATA_DIVIDENDS and DIVIDENDDATA_RATIOS, that act as direct conduits to live financial data. Users simply type these formulas into any cell, referencing a stock ticker and desired metric, and the platform instantly populates the cell with accurate, updated information. This transforms static spreadsheets into dynamic, auto-updating financial dashboards, covering everything from forward dividend yields and ex-dates to P/E ratios and diluted EPS.

Deep Historical & Fundamental Data Library

The platform grants users access to a vast repository of over 30 years of historical market data. This is not limited to price history but extends deeply into fundamental analysis, including decades of dividend payments, annual and quarterly financial statements, and hundreds of key financial ratios. This long-term perspective is crucial for conducting thorough trend analysis, assessing a company's financial resilience through cycles, and building robust valuation models based on historical performance.

Multi-Platform Spreadsheet Integration

A key operational feature is its seamless compatibility with both Google Sheets and Microsoft Excel. Users are not locked into a single ecosystem; they can leverage Dividend Data's capabilities within their preferred spreadsheet environment. The add-ins are officially available on the Google Workspace Marketplace and Microsoft AppSource, ensuring easy installation, secure operation, and smooth performance whether working in the cloud with Sheets or locally with Excel.

AI-Powered Research & Portfolio Tools

Beyond spreadsheets, Dividend Data offers a web-based Terminal featuring advanced tools like an AI Analyst. This assistant can answer complex investment questions, generate research reports, and provide insights based on the platform's extensive dataset. Coupled with automated portfolio tracking that aggregates holdings, calculates projected income, and visualizes performance, it creates a holistic research and management suite for the modern investor.

Onboarding & Synthetic Identity Fraud Prevention

During user registration, Ambriel scrutinizes signups to detect fake accounts and sophisticated synthetic identities—fabricated personas using real and fake data. By analyzing device, behavioral, and network signals, it identifies bot-driven signups and fraudulent registrations before they can exploit platform resources, abuse promotions, or commit financial fraud.

Real-Time Payment & Transaction Fraud Blocking

For every transaction, Ambriel performs instant risk analysis. It monitors for anomalies like mismatched billing/shipping details, unusual purchase patterns, or high-risk geolocations. This real-time scoring helps prevent fraudulent purchases, unauthorized transfers, and future chargebacks, directly protecting the company's revenue and payment integrity.

Bonus, Promotion, and Referral Abuse Mitigation

This use case targets fraudsters who exploit marketing incentives. Ambriel detects multi-accounting (same user with multiple accounts), referral scams, and coordinated attacks on bonus programs. By identifying linked devices and suspicious behavioral clusters, it ensures promotional budgets reward genuine customers, protecting marketing ROI and ensuring fair play.

Account Takeover (ATO) Protection

Ambriel safeguards user accounts from credential stuffing attacks and unauthorized access. It monitors login attempts for red flags like unfamiliar devices, impossible travel speeds, or use of compromised credentials. By challenging or blocking suspicious logins, it protects both the end-user's assets and the platform's reputation for security.

Building a Dividend Growth Screening Model

Investors focused on dividend growth can use Dividend Data to create a powerful screening spreadsheet. By using functions to pull dividend growth rates, payout ratios, and earnings history for thousands of stocks, they can instantly filter for companies with a history of consistent, sustainable dividend increases. This automates the initial discovery phase, allowing for rapid identification of candidates that meet specific criteria for further due diligence.

Automating Monthly Portfolio Income Reports

For income-focused investors, manually tracking dividend payments across a portfolio is tedious. With Dividend Data, users can build a master portfolio sheet where each holding's ticker automatically pulls the next ex-dividend date, payment date, and declared dividend amount. This sheet can then forecast monthly and annual income, update live, and provide a clear, always-current view of cash flow expectations without any manual data entry.

Conducting Comparative Fundamental Analysis

Analysts and serious investors can perform deep-dive comparisons between companies. By using functions to pull side-by-side data on metrics like ROE, debt-to-equity, profit margins, and valuation multiples, they can build comprehensive comparison tables. The 30+ years of data allow for analyzing how these metrics have evolved over time, providing context that is essential for determining relative strength and long-term operational efficiency.

Creating Dynamic Financial Dashboards

Financial educators, bloggers, or investment club leaders can use Dividend Data to create interactive dashboards. They can build sheets that display key real-time stats for a watchlist, such as current price, dividend yield, and P/E ratio, which refresh automatically. This turns a simple spreadsheet into a live monitoring tool, perfect for presentations, educational content, or keeping a group informed with up-to-the-minute data.

Ambriel is an advanced fraud intelligence and risk management platform engineered for the digital age. It serves as a critical security layer for digital businesses operating in high-risk, high-reward sectors such as fintech, marketplaces, e-commerce, iGaming, and crypto. The platform's core mission is to empower these organizations to operate securely by transforming raw data into actionable fraud prevention. Ambriel achieves this by creating a robust, interconnected ecosystem that seamlessly integrates behavioral analytics, device fingerprinting, global sanctions screening, and real-time risk scoring. Its primary value proposition is multifaceted: it proactively detects, scores, and prevents fraudulent activities before they can inflict financial loss or reputational damage, all while ensuring a frictionless experience for legitimate users. By analyzing a complex web of user behaviors, transaction patterns, device signals, and network data, Ambriel reveals hidden risk patterns and automates mitigation strategies. This allows companies to effectively combat sophisticated threats like synthetic identity creation, payment fraud, multi-accounting, bonus abuse, and money laundering in real time. Ultimately, Ambriel is more than just a fraud tool; it is a strategic asset that helps businesses protect revenue, build unwavering customer trust, and maintain continuous compliance with evolving global regulations.

Dividend Data is a powerful financial data platform designed to democratize access to institutional-grade stock market information. At its core, it is a spreadsheet add-in that seamlessly integrates over 30 years of historical and real-time data for more than 80,000 tickers directly into Google Sheets and Microsoft Excel. The product eliminates the traditional barriers of complex APIs, coding requirements, and manual copy-pasting, delivering data through simple, custom formulas. Built specifically by and for dividend and fundamental investors, it provides instant access to a comprehensive suite of metrics including dividend histories, yields, payout ratios, growth rates, complete financial statements, earnings reports, valuation ratios, and price action. Its unique value proposition lies in its unparalleled ease of use combined with deep, reliable data, offering a professional analysis toolkit at a fraction of the cost of institutional terminals. With a generous free tier and robust paid plans, it serves both individual retail investors and professional analysts who seek to make informed, data-driven investment decisions without the steep learning curve or exorbitant price tag.

What types of fraud can Ambriel detect?

Ambriel is designed to detect a wide spectrum of modern digital fraud. This includes synthetic identity creation, payment fraud and chargebacks, multi-accounting and bonus abuse, referral fraud, account takeover (ATO) attempts, money laundering activities, refund and return abuse, and fraudulent claims or payouts. Its system correlates data across these vectors for comprehensive protection.

How does Ambriel ensure a good experience for legitimate users?

A core design principle of Ambriel is minimizing friction for trusted users. Its AI models are finely tuned to recognize normal behavior, allowing the vast majority of genuine transactions and signups to pass through instantly without additional steps. Security measures like silent device authentication and behavioral biometrics run in the background, only challenging users when risk is genuinely elevated.

Is Ambriel suitable for a small business or startup?

Yes, Ambriel is built to scale with businesses of all sizes. The platform offers a "Start for free" option, allowing smaller companies to access essential fraud prevention tools. Its modular and API-first design means businesses can start with core features like risk scoring and gradually adopt more advanced modules like sanctions screening as their compliance needs and user base grow.

How does Ambriel help with regulatory compliance?

Ambriel directly aids compliance with major regulations like AML, KYC, GDPR, and PCI DSS. Its automated sanctions/PEP screening meets AML requirements, while its data handling and processing adhere to GDPR and other privacy standards. The platform provides audit trails and documentation, simplifying compliance reporting and demonstrating due diligence to regulators.

How does the free tier work and what are credits?

The free tier provides 2,500 credits per month that never expire, with no credit card required to start. Each data request made via a spreadsheet function consumes a small number of credits (typically 1-2 per call). This generous allowance allows users to perform substantial analysis and automation for free. It's designed to let investors fully test the platform's capabilities in their real-world workflows without a time-limited trial.

What kind of data can I access with the spreadsheet functions?

You can access a vast array of data points spanning dividends, quotes, fundamentals, and ratios. Specific examples include forward and historical dividend amounts/yields, ex-dividend and payment dates, current stock price, 30+ years of price history, complete financial statement items (revenue, EPS, cash flow), and over 100 pre-calculated financial ratios like P/E, P/B, and ROIC. The documentation provides a full list of all available metrics for each function.

Do I need to know how to code or set up an API?

Absolutely not. Dividend Data is built specifically to require zero coding or technical setup. There are no API keys to manage. After installing the add-in from the Google Workspace or Microsoft AppSource store, you simply use the provided custom formulas directly in your spreadsheet cells as you would any native function like =SUM(). The complexity of data sourcing and management is handled entirely in the background.

Is my data and portfolio information secure?

Yes. Dividend Data takes security seriously. The connection between your spreadsheet and their servers is secure. When using the portfolio tracking features in the Pro Terminal, your holdings data is stored privately. The company has a clear privacy policy and terms of use. Furthermore, as an official add-in listed on Google and Microsoft's marketplaces, it adheres to these platforms' security and compliance standards.

Ambriel is a comprehensive fraud intelligence and risk management platform, falling under the broader category of productivity and security solutions for digital businesses. It provides real-time detection and prevention tools to combat various fraud types, from payment fraud to synthetic identities, helping companies protect revenue and maintain compliance. Businesses often explore alternatives to Ambriel for several reasons. These can include budget constraints, as advanced fraud solutions require significant investment. Others may seek platforms with different feature specializations, more tailored integrations for their specific tech stack, or a different balance between automated AI and human-led review processes to suit their operational model. When evaluating an alternative fraud prevention solution, key considerations should include the depth and accuracy of its real-time risk scoring, the breadth of data sources and intelligence it leverages, and its ability to scale with your business. Equally important is ensuring the platform can deliver a seamless user experience for legitimate customers while providing robust tools for sanctions screening, continuous monitoring, and customizable rules to address your unique risk profile.

Dividend Data is a specialized financial data tool that provides extensive dividend and fundamental stock information directly within spreadsheet applications like Google Sheets and Excel. It falls into the category of self-service investment research platforms, designed to empower individual investors with deep, historical data sets. Users often explore alternatives for various reasons. Some may have specific budget constraints or require a different pricing model, while others might need features tailored to different investment strategies, such as technical analysis or real-time alerts. Platform compatibility is another key factor, as some investors prefer web-based dashboards, mobile apps, or integration with other software beyond spreadsheets. When evaluating other options, consider the depth and historical range of the data offered, the ease of access and integration into your existing workflow, and the overall cost relative to the value provided. The ideal solution should align with your primary investment methodology, whether it's dividend growth, value investing, or broader market analysis, without unnecessary complexity or expense.