Vibe-Skills usfiscaldata

Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.

install

source · Clone the upstream repo

git clone https://github.com/foryourhealth111-pixel/Vibe-Skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/foryourhealth111-pixel/Vibe-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/bundled/skills/usfiscaldata" ~/.claude/skills/foryourhealth111-pixel-vibe-skills-usfiscaldata && rm -rf "$T"

manifest: bundled/skills/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}")

# 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