Daloopa
Revolutionize financial modeling with AI-driven, auditable data insights.. [Contact for Pricing]
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What is Daloopa?
Daloopa is an AI-powered financial data platform built for investment professionals, analysts, and teams that need accurate, source-linked public-company data. It focuses on accelerating model building, model updates, and fundamental research by turning filings, transcripts, and KPI sources into clean, audit-ready datasets.
The platform centers on a “data layer” that covers 5,500+ public companies globally and provides 14 years of history, with more data points per company than many other providers. Daloopa emphasizes transparency, with each number hyperlinked to its original source, and positions itself as highly accurate and audit-friendly.
Its main workflows include Data Sheets for fast model creation, an Excel Add-In for updating models, Scout for AI-assisted model building, an API for programmatic analytics and AI agents, MCP for integrating with AI platforms, and cloud integrations for workspace delivery. The product is designed to fit both manual research workflows and automated, agentic workflows.
Daloopa is aimed at hedge funds, mutual funds, private equity firms, investment banks, equity analysts, portfolio managers, and builders creating financial analytics or AI systems. The website also highlights use by major global AI companies and large investment firms, suggesting it is intended for high-end professional research environments.
Daloopa pricing
Pricing model: Freemium
The website shows a Free plan plus Daloopa Core, Daloopa Premium, and Daloopa Fundamentals API. The Free plan includes access to Data Sheets only, with up to 3 sheets, while features like the Excel Add-In, Scout, API access, and broader MCP access are not included. Daloopa Core offers comprehensive data across delivery methods with fast updates, Daloopa Premium includes Core features plus enhanced access, and Daloopa Fundamentals API is for programmatic access to research-ready data. The site does not publish dollar pricing and says existing customers should contact their point of contact about subscriptions.
Daloopa pros
- Source-linked every number
- Audit-ready outputs
- >99% average accuracy
- 5,500+ public companies covered
- 14 years of history
- 4-10x more data points per company
- Fast updates after earnings
- Cuts model-building time
- Saves time on model updates
- Excel Add-In for one-click refresh
- Data Sheets for quick coverage initiation
- Scout for AI model building
- API for custom analytics
- MCP support for AI platforms
- Cloud integrations for workspace delivery
- 1300+ standardized metrics
- Webhook alerts for new data
- Flexible formatting and endpoints
- Designed for analyst workflows
- Built for agentic research workflows
Daloopa cons
- No transparent public pricing for paid plans
- Free tier is limited to Data Sheets only
- Free access appears capped at 3 sheets
- Excel Add-In not included in free tier
- API access not included in free tier
- MCP access has monthly limits
- Enterprise-style product may be overkill for small users
- Focused on public-company fundamentals only
Frequently asked questions about Daloopa
What does Daloopa do?
Daloopa provides AI-powered fundamental financial data for public companies. It turns complex sources like filings, transcripts, and KPI documents into clean, hyperlinked data that analysts can use to build and update models faster while keeping every number traceable back to its source.
Who is Daloopa for?
Daloopa is designed for investment professionals and teams such as equity analysts, mutual fund analysts, hedge funds, private equity firms, investment banks, and builders creating financial analytics or AI agents. The site also positions it for partners who need trusted data infrastructure for agentic workflows.
What products does Daloopa offer?
The website highlights Data Sheets, the Excel Add-In, Scout, the API, MCP, and cloud integrations. Data Sheets help users start models quickly, the Add-In updates models inside Excel, Scout helps build and maintain financial models, the API supports custom analytics and AI agents, and MCP connects Daloopa data to AI platforms.
How large is Daloopa’s dataset?
Daloopa says its platform covers 5,500+ public companies globally and provides 14 years of history. It also claims 4-10x more data points per company than other providers, along with 1300+ standardized metrics in its API.
How accurate is Daloopa?
The site says Daloopa delivers an average accuracy rate of more than 99% across millions of data points. It also emphasizes that every number is hyperlinked to the original source, which supports auditability and manual verification.
How does Daloopa help with earnings season?
Daloopa says its AI monitors company releases and updated documents so analysts spend less time chasing materials during earnings season. The platform is designed to deliver fast updates right after earnings are released, which helps keep models current with less manual work.
Does Daloopa integrate with Excel?
Yes. The website describes an Excel Add-In that lets users update models with the click of a button. It is presented as a way to automate data updates in existing Excel workflows while linking to Daloopa’s fundamental database.
Is there a free plan?
Yes. The plans page shows a Free plan that includes access to Data Sheets, but it is limited to up to 3 sheets. More advanced features such as the Excel Add-In, Scout, API access, and broader MCP access are not included in the free plan.
Does Daloopa publish pricing online?
No dollar pricing is shown on the plans page. The website instead lists plan tiers and says new customers should choose a plan that fits their needs, while existing customers should contact their point of contact to discuss subscription details.
What is Daloopa API used for?
The Daloopa API is meant for building custom analytics and AI agents using comprehensive fundamental data. The site says it provides thousands of KPIs for 5,500+ tickers, source-links mapped to each datapoint, webhook notifications for updates, and 1300+ standardized metrics for programmatic use.