| name | usfiscaldata |
| description | Query the U.S. Treasury Fiscal Data REST API for federal financial data. No API key required. Use for national debt (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates, foreign exchange rates, savings bonds, or U.S. government revenue and spending statistics. |
| license | MIT |
| allowed-tools | Read Write Edit Bash |
| metadata | version: "1.1" skill-author: K-Dense Inc. |
U.S. Treasury Fiscal Data API
Free, open REST API from the U.S. Department of the Treasury for federal financial data. No API key or registration required.
Base URL: https://api.fiscaldata.treasury.gov/services/api/fiscal_service
Browse 54 datasets and 179 data tables via the dataset search. Verify endpoint paths on each dataset's API Quick Guide — paths change over time.
Installation
uv pip install requests pandas
Quick Start
import requests
import pandas as pd
BASE_URL = "https://api.fiscaldata.treasury.gov/services/api/fiscal_service"
resp = requests.get(f"{BASE_URL}/v2/accounting/od/debt_to_penny", params={
"sort": "-record_date",
"page[size]": 1
})
data = resp.json()["data"][0]
print(f"Total public debt as of {data['record_date']}: ${float(data['tot_pub_debt_out_amt']):,.0f}")
resp = requests.get(f"{BASE_URL}/v1/accounting/od/rates_of_exchange", params={
"fields": "country_currency_desc,exchange_rate,record_date",
"filter": "record_date:gte:2024-01-01",
"sort": "-record_date",
"page[size]": 100
})
df = pd.DataFrame(resp.json()["data"])
Authentication
None required. The API is fully open and free.
Core Parameters
| Parameter | Example | Description |
|---|
fields= | fields=record_date,tot_pub_debt_out_amt | Select specific columns |
filter= | filter=record_date:gte:2024-01-01 | Filter records |
sort= | sort=-record_date | Sort (prefix - for descending) |
format= | format=json | Output format: json, csv, xml |
page[size]= | page[size]=100 | Records per page (default 100) |
page[number]= | page[number]=2 | Page index (starts at 1) |
Filter operators: lt, lte, gt, gte, eq, in
"filter=country_currency_desc:in:(Canada-Dollar,Mexico-Peso),record_date:gte:2024-01-01"
Key Datasets & Endpoints
Debt
| Dataset | Endpoint | Frequency |
|---|
| Debt to the Penny | /v2/accounting/od/debt_to_penny | Daily |
| Historical Debt Outstanding | /v2/accounting/od/debt_outstanding | Annual |
| Schedules of Federal Debt | /v1/accounting/od/schedules_fed_debt | Monthly |
Daily & Monthly Statements
| Dataset | Endpoint | Frequency |
|---|
| DTS Operating Cash Balance | /v1/accounting/dts/operating_cash_balance | Daily |
| DTS Deposits & Withdrawals | /v1/accounting/dts/deposits_withdrawals_operating_cash | Daily |
| Monthly Treasury Statement (MTS) | /v1/accounting/mts/mts_table_1 (18 tables — see datasets-fiscal.md) | Monthly |
Interest Rates & Exchange
| Dataset | Endpoint | Frequency |
|---|
| Average Interest Rates on Treasury Securities | /v2/accounting/od/avg_interest_rates | Monthly |
| Treasury Reporting Rates of Exchange | /v1/accounting/od/rates_of_exchange | Quarterly |
| Interest Expense on Public Debt | /v2/accounting/od/interest_expense | Monthly |
Securities & Auctions
| Dataset | Endpoint | Frequency |
|---|
| Treasury Securities Auctions Data | /v1/accounting/od/auctions_query | As Needed |
| Treasury Securities Upcoming Auctions | /v1/accounting/od/upcoming_auctions | As Needed |
| Treasury Securities Buybacks | /v1/accounting/od/buybacks_operations | As Needed |
Savings Bonds
| Dataset | Endpoint | Frequency |
|---|
| I Bonds Interest Rates | /v1/accounting/od/i_bonds_interest_rates | Semi-Annual |
| Savings Bonds Issues, Redemptions & Maturities | /v1/accounting/od/savings_bonds_report | Monthly |
Response Structure
{
"data": [...],
"meta": {
"count": 100,
"total-count": 3790,
"total-pages": 38,
"labels": {"field_name": "Human Readable Label"},
"dataTypes": {"field_name": "STRING|NUMBER|DATE|CURRENCY"},
"dataFormats": {"field_name": "String|10.2|YYYY-MM-DD"}
},
"links": {"self": "...", "first": "...", "prev": null, "next": "...", "last": "..."}
}
Note: All values are returned as strings. Convert as needed (e.g., float(), pd.to_datetime()). Null values appear as the string "null".
Common Patterns
Load all pages into a DataFrame
Use the bounded fetch_all() helper in parameters.md. For small result sets, a single request with page[size]=10000 may suffice when meta.total-pages is 1.
params = {"sort": "-record_date", "page[size]": 10000}
resp = requests.get(f"{BASE_URL}/v2/accounting/od/debt_outstanding", params=params)
result = resp.json()
if result["meta"]["total-pages"] > 1:
raise ValueError("Use fetch_all() from parameters.md for multi-page results")
df = pd.DataFrame(result["data"])
Aggregation (automatic sum)
Omitting grouping fields triggers automatic aggregation:
resp = requests.get(f"{BASE_URL}/v1/accounting/dts/deposits_withdrawals_operating_cash", params={
"fields": "record_date,transaction_type,transaction_today_amt"
})
Reference Files
- api-basics.md — URL structure, HTTP methods, versioning, data types
- parameters.md — All parameters with detailed examples and edge cases
- datasets-debt.md — Debt datasets: Debt to the Penny, Historical Debt, Schedules of Federal Debt, TROR
- datasets-fiscal.md — Daily Treasury Statement, Monthly Treasury Statement, revenue, spending
- datasets-interest-rates.md — Average interest rates, exchange rates, TIPS/CPI, certified interest rates
- datasets-securities.md — Treasury auctions, savings bonds, SLGS, buybacks
- response-format.md — Response objects, error handling, pagination, response codes
- examples.md — Python, R, and pandas code examples for common use cases
