
Open data standards support many kinds of reporting organizations, and many kinds of data, from statutory financial statements to greenhouse gas emissions to descriptive narratives.
Because XBRL is a semantic data model that describes the structure of whatever data is reported, it is technology-agnostic and can be transported by commonly used technical formats, including XML, CSV, JSON, and XHTML. While these are today’s widely used formatting technologies, tomorrow new technologies may be introduced. The XBRL standard is designed to adapt to changes in technologies as well as industry and regulatory need.
Explore the many ways XBRL is used through papers, blog posts and infographics.
Agency-specific FDTA rules need to make sure the data they collect is AI-ready. AI shines when given access to richly contextualized, standardized, structured data and identifiers. While Large Language Models (LLMs) can source...
The Data Quality Committee (DQC) seeks comment through January 22 on ten new automated checks for US GAAP filers. XBRL US Members and public company personnel can evaluate these rules with our secure...
November, 2025 SEC CDO Office to join artificial intelligence panel at Data Standards Forum: Advancing Semantic Intelligence in Washington, DC on Friday, December 5. Data Scientist Parth Venkat, Office of the Chief Data...
XBRL US Members and others using our Public Filings Database and the XBRL API know extracting data from machine-readable reports yields a wealth of granularity for unambiguous analysis. Extraction involves an XBRL processor...
October, 2025 XBRL US announced the Data Standards Forum: Advancing Semantic Intelligence in Washington, DC. Register to attend this one-day conference on artificial intelligence, the future of open data standards in a regulatory...
September, 2025 NY State Assemblymember Deborah J. Glick and California State Senator Scott Weiner recorded keynote remarks from XBRL US' Digital Climate Reporting Roundtable are now available. The roundtable was held September 22,...






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