The digital reporting standard for business and government
The non-profit community improving U. S. reporting through a free, open standard
The non-profit community improving U. S. reporting through a free, open standard
Getting XBRL in LLMs for as-filed research
Recent AI advances mean getting machines to find and access machine-understandable structured data is also getting better.
This post touches on four topics related to XBRL in research tasks supported by AI and introduces a free tool for accessing the XBRL US Public Filings Database with LLMs.
This in-person event co-produced by the Center for Research toward Advancing Financial Technologies (CRAFT) and XBRL US, will explore how the use of structured, standardized data improves the ability of large language models to accurately, consistently understand financial and business information.
What if your accounting estimates could stress-test themselves? Join us to explore how multi-agent AI systems powered by Large Language Models could change how estimates are prepared and refine and improve the accuracy of accounting estimates. Agents can systematically test various modifiers through an iterative model dynamically simulating “what could go wrong” scenarios. Agents can […more]
California climate reporting rules for businesses are underway and legislation has been reintroduced in New York and New Jersey mirroring the Golden State. Although federal climate reporting initiatives were quashed last year when the Securities and Exchange Commission opted to cease defense of its own climate-related disclosure rules against legal challenges, state programs are picking […more]
Join the growing number of professionals using the XBRL application programming interface (API) to get reported data and check reports before filing.
Check out our growing collection of free resources, including:
The national consortium for
the business reporting standard
