Query U.S. Treasury Fiscal Data REST API for federal financial datasets.
npx skills add https://github.com/dralkh/seerai --skill usfiscaldata-dralkh
Please help me install this Agent Skill. Skill: usfiscaldata Source: https://github.com/dralkh/seerai/tree/main/skills/usfiscaldata Command: npx skills add https://github.com/dralkh/seerai --skill usfiscaldata-dralkh
It removes the manual burden of pulling federal financial data from the U.S. Treasury Fiscal Data API, making it easier to track debt, cash balances, spending, revenues, rates, and securities in one place.
Ask for the latest U.S. Treasury debt series and a clean pandas-ready table with the fields, filters, and pagination settings needed to reproduce it.
High-intent search queries and answers about installing and using this skill.
You can query U.S. Treasury fiscal data without an API key by sending GET-based requests to the Treasury Fiscal Data REST API. The tool handles fields, filters, sorting, and pagination to return typed responses across JSON, CSV, and XML endpoints.
Yes, you can retrieve national debt and interest rate data for pandas analysis. The tool queries debt, interest rate, and auction datasets from the Treasury Fiscal Data API and outputs clean tabular data ready for Python workflows.
The available federal financial datasets include national debt, Daily Treasury Statement, Monthly Treasury Statement, exchange rates, interest rates, auctions, savings bond rates, TIPS indexes, and Treasury Report on Receivables data.
Yes, the Treasury Fiscal Data API supports CSV and XML response formats. The tool performs typed response parsing across JSON, CSV, and XML endpoints to integrate with various data pipelines.
You filter and paginate large Treasury datasets by specifying fields, filter criteria, sort order, and pagination settings in GET-based requests. This retrieves targeted federal revenue subsets without overwhelming your analysis environment.
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