Compare Hub-Equity vs. RaptorXML Server

Hub-Equity transforms the XBRL and iXBRL submissions from publicly traded companies to the SEC in the United States and under ESEF regulations in Europe into uniform income statements, balance sheets, and cash flow statements for over 12,500 issuers. Both US-GAAP and IFRS filers utilize a unified schema, enabling direct line-by-line comparisons between American and European firms. Each data point is linked back to its original filing and the corresponding fiscal period, while restatements are displayed alongside the original and modified values, highlighting the filing that prompted the change. Users can access the platform in three distinct ways: through a web interface featuring company pages, a screener, cross-issuer comparisons, and the option for Excel or JSON exports; via a REST API and Python SDK, which can be installed with `pip install hub-equity` and is thoroughly documented at docs.hub-equity.com; or through an MCP server that supports AI agents like Claude, Cursor, and Continue, allowing for the extraction of any figure along with its source filing, historical time series, and restatements. All subscription plans receive identical data and verification checks, with pricing based on throughput and available tools rather than data quality, making it accessible for all users. The Free plan is particularly appealing as it requires no credit card and never expires, encouraging long-term exploration of its capabilities.

In contemporary enterprises, the surge of Big Data trends and XBRL requirements is generating vast and continuously expanding volumes of data in various formats such as XML, XBRL, JSON, and Avro. Fortunately, there is now a state-of-the-art, lightning-fast engine designed to validate, process, transform, and query all of this data efficiently. RaptorXML guarantees strict adherence to all pertinent XML, XBRL, and JSON standards and undergoes thorough regression and conformance testing, utilizing Altova’s extensive in-house collection of test suites along with industry-standard testing and real-world customer scenarios. As the popularity of JSON continues to grow, so does the necessity for ensuring the accuracy and validity of data transactions, which RaptorXML addresses by offering comprehensive features for JSON syntax checking, validation, and JSON Schema compliance. This engine not only streamlines data handling but also enhances reliability in data exchanges.