XBRL TAGGING

Validated, filing-ready XBRL accelerated by AI technology and perfected by our trusted experts. Meet SEC disclosure requirements and file with confidence.

EdgarAgents produces & reviews all
XBRL tagging in-house.

Nothing is outsourced, ever.

Our analysts work alongside secure AI-powered technology that automates the first pass, allowing our experts to focus on what matters most: a validated filing that meets compliance requirements, on time, every time.

XBRL tagging

Validated & Filing-Ready

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Every filing is validated against SEC rules throughout the process, so issues are identified and resolved before submission, mitigating the risk of comment letters after filing.

 

Human-Perfected, AI-Accelerated

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Artificial intelligence automates the first pass. Our in-house experts review and refine every tag. You get the speed of automation with the judgment of seasoned analysts behind it.

 

Collaborative Review Experience

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Through EA’s web-based review application, your team can view tags, add comments and approvals, compare versions, and work directly with our experts.

 

Built for the Investing Community

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Consistently accurate XBRL keeps your financial data accessible to those who depend upon it including investors, analysts, and regulators, strengthening how the market analyzes your company’s performance.

 

Secure by Design

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SOC 2 compliant, working exclusively with closed AI models. Your sensitive information stays in a controlled, private environment at every step.

 

Ready to file with confidence?

XBRL FAQ

XBRL applies specific data tags to financial taxonomies in the exhibits section of periodic and current reports, registration reports and transition reports, based on a set of rules created by the SEC.

It is an SEC requirement to convert financial data into XBRL format to allow investors, financial institutions, analysts, and regulators who rely on financial data to compare and analyze public companies faster and more efficiently.
Tagging financial data makes it easier for people or companies who use the data regularly, such as analysts and investors, to identify specific financial information from a document. Adding definitions or tags to items such as descriptions, units and currencies from the Balance Sheets, Income Statements, Cash Flow Statements, Shareholder’s Equity and accompanying notes, facilitates company comparisons and makes analytical facts and figures easier to locate.