usfiscaldata

SKILL.md

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

Quick Start

import requests
import pandas as pd

BASE_URL = "https://api.fiscaldata.treasury.gov/services/api/fiscal_service"

Get the current national debt (Debt to the Penny)

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}")

```python
# Get Treasury exchange rates for recent quarters
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

# Multiple filters separated by comma
"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/historical_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 (16 tables)
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

Average Interest Rates
/v2/accounting/od/avg_interest_rates
Monthly

Savings Bonds

Dataset
Endpoint
Frequency

I Bonds Interest Rates
/v2/accounting/od/i_bond_interest_rates
Semi-Annual

U.S. Treasury Savings Bonds: Issues, Redemptions & Maturities
/v1/accounting/od/sb_issues_redemptions
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

def fetch_all_pages(endpoint, params=None):
    params = params or {}
    params["page[size]"] = 10000  # max size to minimize requests
    resp = requests.get(f"{BASE_URL}{endpoint}", params=params)
    result = resp.json()
    df = pd.DataFrame(result["data"])
    return df

Aggregation (automatic sum)

Omitting grouping fields triggers automatic aggregation:

# Sum all deposits/withdrawals by record_date and transaction type
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