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About
Use cases: backend, data, finance
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/usfiscaldata
Tools it pre-approves 4
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
ReadWriteEditBash
What's inside
- Skill name
usfiscaldata- Description
- Queries 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
- Compatibility
- Requires Python 3.10+ with requests and pandas for Python examples; R with httr and jsonlite for R examples. Requires network access; no credentials.
- Allowed tools
- Read, Write, Edit, Bash
- Metadata
- version: 1.5 · skill-author: K-Dense Inc. · last-reviewed: 2026-09-30
- Instructions
- 195 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves any shell command
- Instructions call the network
Files (9)
- SKILL.md
- api-basics.md · references/
- datasets-debt.md · references/
- datasets-fiscal.md · references/
- datasets-interest-rates.md · references/
- datasets-securities.md · references/
- examples.md · references/
- parameters.md · references/
- response-format.md · references/
SKILL.md (first lines)
# 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 [the current dataset catalog](https://fiscaldata.treasury.gov/datasets/) via the dataset search. Verify endpoint paths on each dataset's API Quick Guide — paths change over time.
## Installation
```bash
uv pip install requests pandas
```
## Quick Start
```python
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
}, timeout=30)
resp.raise_for_status()
data = resp.json()["data"][0]
print(f"Total public debt as of {data['record_date']}: ${float(data['tot_pub_debt_out_amt']):,.0f}")
```
```python
# Preview Treasury exchange-rate rows for recent quarters (first page only)
resp = requests.get(f"{BASE_URL}/v1/accounting/od/rates_of_exchange", params={
"fields": "country_currency_desc,exchange_rate,record_date,effective_date",
"filter": "record_date:gte:2024-01-01",
"sort": "-record_date",
"page[size]": 100
}, timeout=30)
resp.raise_for_status()
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`
```python
# 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/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](references/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 |
**Exchange-rate interpretation:** Treasury Reporting Rates are foreign-currency units per USD, so divide a foreign-currency amount by the rate to obtain USD (and multiply USD to obtain foreign currency). These are government reporting rates, not live trading quotes. Preserve both `record_date` and `effective_date`, and check amendments before applying a rate to a reporting period.
### 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
```json
{
"data": [...],
"meta": {
"count": 100,
"total-count": 3790,
"total-pages": 38,
"labels": {"field_name": "Human Readable Label"},From K-Dense-AI/scientific-agent-skills, MIT.
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Signals
- Stars
- 54,411
- Forks
- 4,797
- Open issues
- 8
- Last commit (this folder)
- Oct 1, 2026 (27 days ago)
- Last release
- Oct 1, 2026 (27 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.5
- License
- MIT
- Website
- arxiv.org/abs/2609.00065
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
usfiscaldata skill. Agent Mart. https://agentmart.dev/skills/k-dense-ai-usfiscaldata (last updated 2026-10-24)