The non-profit community improving U. S. reporting through a free, open standard
AI and Structured Data Forum: Optimizing Performance
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.
Point of View
From Implicit to Explicit: How the OIM Cube Definition Transforms XBRL Data Modeling.
A reimagined cube is elevated to a first-class object.
Here’s what that means and why it matters for event data, reference data, holdings data, and more.
XBRL Data Community
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:
AI Meets Auditing: Build Smarter Accounting Estimates with Multi-Agent LLMs
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: Digital First Climate Data
To meet the goals of climate initiatives worldwide requires governments to understand the impact of industry on the environment. This can only be accomplished through standardized, digital data that is concretely understood, timely, and consistently prepared to foster a shared understanding of the current state of climate risk and to monitor changes going forward.
