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Financial Services Commission Expands Access to Four Additional Areas of Financial Public Data

Additional Information Disclosure of Data Held by FSC and Korea Credit Guarantee Fund

On the 26th, the Financial Services Commission announced that starting from the 27th, it will additionally open financial public data in four areas: fundraising disclosure information, asset management company business activity statistics, investment advisory company business and management indicator statistics, and social finance support information.


Since beginning the opening of financial public data in June 2020, the FSC has gradually expanded data from special law entities (2021), individual business operator information (2022), and flood-damaged vehicle information (2023) each year. As of the end of October, 98 APIs (language and message formats agreed upon for data exchange between programs) and 312 tables are being opened through the 'Public Data Portal,' recording 23,603 API usage applications and 415.94 million data queries.

Financial Services Commission Expands Access to Four Additional Areas of Financial Public Data

The newly opened data this time is information held by the Financial Supervisory Service and the Korea Inclusive Finance Agency. Through the FSS’s fundraising disclosure information, investors will be able to check companies’ public and private fundraising usage details and debt securities issuance performance, which is expected to assist investors in company evaluation and investment decisions.


Information related to asset management companies and investment advisory firms provides data to understand their respective business activities and management status, while the Korea Inclusive Finance Agency’s social finance support information contains financial support information for social economy enterprises such as cooperatives and self-sufficiency enterprises.


The FSC stated that in 2025, it plans to additionally open corporate information and financial company statistical information, and will also carry out standardization and error correction work to improve the quality of existing data.


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