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Perplexity AI

Perplexity’s SEC Data Integration Makes It the Investor’s AI Sidekick

By Advanced AI EditorJune 6, 2025No Comments2 Mins Read
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AI search engine startup Perplexity AI on Thursday rolled out access to SEC filings across its platform, aiming to make technical financial data easily understandable for all types of investors, from students to advisors to day traders.

The new SEC/EDGAR integration allows users to query financial documents directly within Perplexity’s Search, Research, and Labs interfaces. Answers are backed with citations and references, helping users trace insights back to original source documents. The company says the feature is designed to simplify complex reports that typically require domain expertise or expensive tools to interpret.

“Everyone deserves access to the same financial information that drives professional investment decisions,” the blog post states, highlighting a contrast with traditional financial data platforms that often gatekeep clarity behind paywalls and complexity.

With this launch, users can ask questions about earnings, risks, or strategy and receive natural-language answers grounded in regulatory filings. It’s available for all Perplexity users. However, for Perplexity Enterprise Pro customers, the integration also works alongside datasets from Factset, Crunchbase, and internal company files, offering deeper comparative research.

This move positions Perplexity as a potential disruptor in the financial intelligence space, especially for retail investors seeking affordable, context-rich answers with a minimal learning curve.

Recently, Perplexity AI launched ‘Labs’, a new feature available to Pro users on the web, iOS, and Android that turns prompts into complete projects like reports, dashboards, spreadsheets, and simple web apps. 

It is positioned as an evolution of the platform’s existing ‘Deep Research’ tool—now renamed ‘Research’. Labs supports more complex and extended workflows. Unlike earlier modes that focused on information retrieval, Labs acts as a virtual project team, generating structured outputs using web browsing, code execution, and asset creation tools. Users can access generated content and interactive elements via dedicated ‘Assets’ and ‘App’ tabs.



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