Refinitiv python API: How to build dynamic queries for credit curve selection by python?

Alvin

I'd like to clarify my use case further and seek advice on building a dynamic and parameterized search using Python.

My objective is to automate DCF discount rate derivation based on the issuer’s profile. Specifically, I want to:

1. Filter for credit curves based on:

    • Credit rating (e.g., “BBB”)

    • Currency (e.g., “USD”)

    • Issuer country / HQ (e.g., Singapore → select “International” curves; US  → select “Domestic” curves )

    • Industry / sector (e.g., “Utilities”, “Real Estate”)

2. Retrieve the corresponding curve yield that matches these filters, ideally with a representative maturity (e.g., 5Y).

My questions are:

    • What is the correct Python API interface or data layer to use for this kind of dynamic search?

    • Are there generic curve RICs where I can query by rating, currency, and region directly from Python?

    • Is there documentation or examples for programmatically constructing such queries, rather than exporting fixed queries from Advanced Search?

I want to use this as part of a repeatable valuation where the input parameters will vary depending on the issuer. Any guidance or templates would be greatly appreciated.

屏幕截图 2025-07-11 161202.png

Jirapongse

@Alvin

Thank you for reaching out to us.

Regarding the Search API, you can refer to the following articles:

• Find content and functionality using the Data Library with Workspace Advanced Search
• Building Search into your Application Workflow