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What is Daloopa?
Daloopa is an AI-powered data infrastructure and investment research workflow platform built for financial services. It was developed to solve the problem of time-consuming financial model building and updating, cutting 70% of the time spent initiating coverage and saving an average of 2 hours per ticker during earnings season. The platform provides source-linked, auditable fundamental data on over 5,500 global tickers with an average accuracy rate exceeding 99%. Core capabilities include data sheets for quick model building, an Excel add-in for automated updates, an AI agent called Scout for agentic model building, and APIs for custom analytics. Daloopa serves analysts at hedge funds, mutual funds, and investment banks, as well as builders creating intelligent financial agents and partners integrating AI workflows. It is trusted by over 160 of the largest financial institutions and partners with leading AI companies like Anthropic, OpenAI, and Perplexity.
AI Tool Review Summary
4.7/5
High, accurate, and source-linked
Clean and professional
To accelerate financial research and model building with auditable AI-driven data infrastructure.
Integrates with Excel, cloud platforms, and APIs for seamless workflow fit.
Freemium with paid tiers for advanced features
Features
Features with the highest value for users are highlighted here.
70% reduction in model-building time
Source-linked data with hyperlinks to originals
99%+ accuracy across millions of data points
Coverage of 5,500+ global tickers
14 years of historical data
4-10x more data points per company
Multiple delivery formats: Excel, API, MCP
AI agent Scout for model building
Who Is It For?
Equity Research Analysts
Hedge Fund Managers
Investment Bankers
Data Scientists in Finance
AI Developers
Portfolio Managers
Financial Analysts
Quantitative Analysts
Corporate Finance Teams
Fintech Startups
Pricing
Free
Access to basic data sheets Limited API calls
Pro
Full data sheets for 5,500+ tickers Excel Add-In API access
Join the Command Staff.
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
Pros & Cons
Pros
Unmatched accuracy and auditability with source-linked data. Significant time savings for analysts during earnings season.
Cons
Limited to fundamental financial data; may not cover alternative data. Requires subscription; pricing not publicly disclosed.
FAQs
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