SSRN: An API-based Prudential Reporting System for the Bangko Sentral ng Pilipinas

Summary

The SSRN paper “An API-based Prudential Reporting System for the Bangko Sentral ng Pilipinas” documents the design and early implementation of an API-first approach to supervisory reporting. It addresses longstanding challenges in prudential data collection—manual processing, delayed submissions, and error-prone workflows—by enabling automated, machine-to-machine reporting from regulated entities to BSP.

Key contributions

• API-first reporting: Automated data submissions with standardized payloads and validations.
• Data quality at source: Built-in checks reduce rework and improve timeliness and accuracy.
• Operational efficiency: Faster processing and better auditability for supervisory teams.
• Scalable foundation: A platform approach for expanding to additional forms and use-cases.

Our perspective

We co-developed the API-based prudential reporting approach with BSP under the R²A program, emphasizing practical, production-grade suptech. The architecture and governance patterns documented in the paper have informed subsequent projects and remain a blueprint for modern supervisory data pipelines.

How to cite

Please refer to the SSRN page for the authoritative citation, author list, and most recent version of the paper.

References

• See the SSRN abstract page linked below for full details and access to the paper.

Project evidence and later institutional account

The original R²A retrospective, dated August 2018 on its cover, names Simone di Castri, Matt Grasser and Arend Kulenkampff as authors and identifies CRT–Pinecone as the delivery partnership. This page is CRT’s summary of that work.

BSP’s 2023 report confirms the prototype partnership and describes the later PRIME programme. Our BSP case study connects these sources with Central Banking’s 2019 coverage and keeps the original pilot measurements separate from the later implementation results.