Dividend Data vs Moon Banking

Comprehensive Spreadsheet Integration

Dividend Data seamlessly integrates directly into your existing workflow within Google Sheets and Microsoft Excel via dedicated add-ins. This feature requires no API keys, coding knowledge, or complex setup. You gain access to a suite of over 16 custom functions that pull live data directly into your cell formulas. This transforms static spreadsheets into dynamic, auto-updating financial models and dashboards, saving countless hours of manual data entry and ensuring your analysis is always based on the most current information available.

Extensive Historical & Fundamental Data Library

Access a deep well of financial information spanning more than three decades for a global universe of 80,000+ stocks and ETFs. The library is meticulously built for fundamental analysis, covering dividend-specific metrics (ex-dates, payment dates, growth rates), full financial statements (income, balance sheet, cash flow), valuation and profitability ratios (P/E, P/B, ROE), and detailed price history. This depth allows investors to perform rigorous back-testing, analyze long-term trends, and make informed decisions based on comprehensive historical context.

Built-for-Purpose Dividend Investor Tools

The product is specifically engineered with dividend-focused metrics at its core. Functions are designed to instantly retrieve forward dividends, yields, payout ratios, and dividend growth histories. This specialized focus means investors can quickly screen for income stability, assess dividend safety, and model future income streams without having to manually calculate these figures from raw data, streamlining the entire research process for income-generating portfolios.

Free Tier with Perpetual Access

Dividend Data fosters long-term user growth by offering a genuinely free starting point. The free plan provides 2,500 credits per month without any trial expiration date, allowing new investors to explore the platform's capabilities, build small models, and integrate data into their process at zero cost. This low-barrier entry encourages skill development and demonstrates tangible value, creating a natural pathway for users to evolve into power users who may later choose to upgrade for higher-volume needs.

The Global Bank Dataset

At the heart of Moon Banking is its unparalleled dataset, the largest and most comprehensive of its kind. It encompasses detailed profiles for over 24,000 banks across 205 countries, including critical metrics like overall scores, rankings, and category-specific ratings for Crypto-Friendliness, Customer Service, Fees, Digital Experience, and more. This dataset is continuously updated and verified, providing a living, breathing map of the global banking landscape that serves as the definitive source for accurate financial intelligence, eliminating guesswork and outdated information.

AI-Native Integration (MCP Server)

Moon Banking evolves AI interaction by offering a Model Context Protocol (MCP) server that plugs directly into leading LLM platforms like ChatGPT, Claude, Gemini, and Grok. This feature transforms how users access banking data, enabling natural language conversations with the global dataset. Instead of complex queries or manual searches, users can simply ask questions in plain English, and the integrated AI retrieves precise, context-aware answers directly from Moon Banking's verified database, supercharging research and analysis workflows.

OpenClaw Agent Skill

For developers building autonomous AI agents, Moon Banking provides a native skill on ClawHub for the OpenClaw framework. This skill grants AI agents direct, programmatic access to the full Moon Banking API through simple curl commands. It represents a leap forward in agent capability, allowing them to independently gather bank intelligence, compare institutions, and generate insights as part of their automated workflows, effectively becoming expert banking analysts.

Developer-First API & SDKs

Built to power the next generation of fintech and AI applications, Moon Banking offers a modern, robust API and comprehensive Software Development Kits (SDKs). This infrastructure is designed for seamless integration, allowing developers to quickly infuse their applications—whether comparison tools, market analyzers, or review platforms—with accurate, real-time bank data. The API is the engine that makes Moon Banking's intelligence actionable at scale across the digital ecosystem.

Automated Dividend Portfolio Tracking

Investors can build a master portfolio tracker that automatically updates key metrics. By using formulas to pull current prices, dividend yields, and annual income per holding, you can create a live dashboard that shows total portfolio value, projected annual dividend income, and average portfolio yield without ever manually looking up a stock price or dividend announcement again.

Fundamental Stock Screening & Analysis

Quickly screen and analyze potential investments by building custom filters in a spreadsheet. Use functions to pull P/E ratios, debt-to-equity, ROIC, and dividend growth rates for a list of tickers. This allows for rapid comparison of financial health and valuation across dozens of companies to identify those that meet specific, rigorous investment criteria for further due diligence.

Historical Performance Back-testing

Test investment strategies or analyze a company's historical financial resilience. With 30+ years of data, you can pull annual revenue, EPS, and dividend payments into a sheet to chart long-term trends, calculate compounded dividend growth rates, or see how key ratios have changed through different market cycles, providing evidence-based context for future expectations.

Dynamic Financial Model Creation

Create sophisticated discounted cash flow (DCF) or dividend discount models (DDM) that use live data inputs. Instead of hard-coding assumptions, link your model directly to Dividend Data functions for current EPS, growth estimates, and risk-free rates. This ensures your valuation models are always up-to-date and can be recalculated instantly with new data.

AI-Powered Financial Research & Analysis

Financial analysts and research firms can leverage Moon Banking to build sophisticated, AI-driven research tools. By querying the platform through natural language, they can instantly discover unique market opportunities, track banking trends across regions, and perform competitive benchmarking. This transforms weeks of manual data gathering into seconds of conversational inquiry, accelerating the path to high-value investment and strategic insights.

Targeted Bank Marketing & Prospecting

Bank marketers and business development teams use Moon Banking's data to move beyond broad campaigns to targeted, intelligent outreach. The platform allows them to identify precise prospects, deeply understand competitive positioning, and analyze market penetration by region. This enables the creation of hyper-targeted strategies based on concrete intelligence, such as approaching banks with specific digital experience gaps or high innovation scores for partnership discussions.

Intelligent Application Development

App developers and fintech creators integrate Moon Banking's API to build powerful features directly into their products. This includes creating accurate bank comparison engines, "finder" tools that match users with ideal banks based on custom criteria, and enriched review platforms with verified institutional data. This use case empowers developers to enhance their app's value proposition with a layer of trusted, global banking intelligence.

Autonomous Agent Banking Operations

In the evolving landscape of AI automation, Moon Banking enables OpenClaw agents and other autonomous systems to perform complex banking intelligence tasks. An agent can be tasked with monitoring a list of banks for score changes, compiling a weekly report on the top-performing digital banks in Europe, or verifying the details of an institution for a compliance check—all automatically, reliably, and without human intervention.

Dividend Data is the definitive toolkit for the modern, self-directed investor, designed to bridge the gap between sophisticated financial analysis and practical, everyday use. It transforms your familiar spreadsheet environment—Google Sheets or Microsoft Excel—into a powerful, live-connected research terminal. The core mission is to eliminate the tedious, error-prone manual work of data gathering. Instead of copying, pasting, and constantly updating figures from disparate sources, you simply type intuitive custom formulas like =DIVIDENDDATA_DIVIDENDS("TICKER") to instantly pull in accurate, institutional-grade data. Built by a dividend investor for dividend and fundamental investors, it provides direct access to over 30 years of historical data for more than 80,000 tickers. This includes dividends, yields, payout ratios, growth rates, complete financial statements, key ratios, price history, and over 100 other essential metrics. The product evolves with your investing journey, starting with a generous free tier of 2,500 monthly credits that never expires, allowing you to build a foundational analysis practice without cost or commitment, and scaling to meet the needs of advanced portfolio management and deep-dive research.

Moon Banking represents the next evolutionary stage in financial data intelligence, transitioning from fragmented, unreliable sources to a single, AI-native source of truth. It is the world's first AI-Powered Global Banking Intelligence Platform, engineered to eliminate the critical problem of AI hallucinations in the financial sector by providing real-time, accurate, and structured data on every bank, everywhere. The platform is built for the new AI economy, serving developers, financial analysts, bank marketers, and AI agents who require precise banking information to build reliable tools, conduct insightful research, and make data-driven decisions. Its core value proposition lies in housing the largest bank dataset ever assembled—covering 24,167 banks across 205 countries—and making it seamlessly accessible through modern AI integration methods like MCP servers and native agent skills. Moon Banking doesn't just provide data; it provides a foundational layer of verified intelligence that allows businesses and AI systems to operate with confidence, unlocking growth by transforming raw global bank data into actionable, conversational insights.

How does the free tier work and what are credits?

The free tier provides 2,500 credits every month, which renew automatically. Each data point retrieved by a formula (e.g., one cell with a price, a dividend yield, or an EPS figure) typically costs one credit. This allows for substantial usage for individual investors tracking a personal portfolio or conducting periodic research. There is no expiration on this free plan, so you can use it indefinitely.

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

Absolutely not. Dividend Data requires zero coding knowledge. You simply install the add-in for Google Sheets or Microsoft Excel from their respective marketplaces. Once installed, you can immediately start using the custom formulas like =DIVIDENDDATA_QUOTE("AAPL", "price") directly in your spreadsheet cells—no API keys or technical configuration is needed.

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

You can access a vast array of data points tailored for fundamental and dividend analysis. This includes real-time quotes, 30+ years of dividend history (dates, amounts), forward dividend metrics, complete financial statements (income, balance sheet, cash flow), key ratios (P/E, P/B, ROE), per-share metrics, and basic company information. Over 100 specific metrics are available through intuitive formula syntax.

Does it work in both Google Sheets and Microsoft Excel?

Yes, Dividend Data is fully functional in both major spreadsheet platforms. There is a dedicated Google Sheets add-on available in the Google Workspace Marketplace and a separate Microsoft Excel add-in available in the Microsoft AppSource store. The core set of functions and data access is consistent across both applications.

What problem does Moon Banking solve?

Moon Banking solves the critical issue of unreliable and hallucinated banking data in AI systems and manual research. Traditional sources are often fragmented, outdated, or incomplete, leading to inaccurate analyses and poor decisions. Moon Banking provides a single, verified, real-time source of truth for global bank data, ensuring that AI tools, analysts, and applications operate on accurate and comprehensive intelligence.

How does the MCP Server integration work?

The MCP (Model Context Protocol) Server acts as a bridge between Moon Banking's database and large language models like Claude or ChatGPT. Once integrated, the LLM can access Moon Banking's data directly during a conversation. A user can ask a question like "What are the top 5 banks for digital experience in Germany?" and the AI will retrieve and present the live answer from Moon Banking, not from its general training data, ensuring precision and reliability.

What kind of data is included for each bank?

Each bank profile in Moon Banking's dataset includes a comprehensive set of metrics. This encompasses an Overall Score and Rank, category-specific scores (e.g., Crypto-Friendliness, Fees, Security), the number of votes and stories from the community, and core details like country and code. This multi-dimensional scoring allows for nuanced comparison and analysis far beyond simple directory listings.

Who is the primary user of Moon Banking?

Moon Banking is designed for a spectrum of users driving the AI and fintech evolution. This includes developers building data-driven applications, financial analysts conducting market research, bank marketers and business development professionals, and creators of AI agents and autonomous systems. Anyone who needs accurate, actionable intelligence on the global banking sector is a primary user.

Dividend Data is a specialized financial data tool designed for fundamental and dividend investors. It provides direct spreadsheet integration, allowing users to pull decades of historical market data into Google Sheets and Excel with simple formulas. Users often explore alternatives for various reasons, such as budget constraints, the need for different feature sets like technical analysis or broader market coverage, or compatibility with other platforms like Python or dedicated trading software. The search for the right tool is a natural step in an investor's growth as their strategy and data demands evolve. When evaluating options, consider your core workflow. Key factors include the depth and reliability of historical data, ease of integration with your existing spreadsheets, transparent and scalable pricing, and whether the tool's focus aligns with your investment philosophy, be it dividends, value, or growth investing.

Moon Banking is an AI-native global banking intelligence platform, designed for professionals who need accurate, real-time data on thousands of financial institutions worldwide. It operates in the business and finance data category, specifically serving analysts, marketers, and developers with its deep dataset and AI-first integrations. Users often explore alternatives for various reasons, such as budget constraints, specific feature requirements not covered by a single platform, or the need for integrations with different tools in their existing tech stack. The search for a different solution is a natural part of scaling operations and finding the perfect fit for a team's evolving workflow. When evaluating other options, key considerations should include the depth and accuracy of the financial data, the methods available for AI and developer integration, and how well the platform supports your specific use cases, from market analysis to building customer-facing applications. The goal is to find a solution that grows with your ambitions.