Skip to content
Agentmart
Submit a tool

usfiscaldata

Queries the U.S.

Skill by K-Dense-AI

IndexedMIT★ 54,411
Write a review

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/k-dense-ai-usfiscaldata

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

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.

Use cases: backend, data, finance

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

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.

  • Read
  • Write
  • Edit
  • Bash

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.

More from K-Dense-AI/scientific-agent-skills

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
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from K-Dense-AI

Cite this page

usfiscaldata skill. Agent Mart. https://agentmart.dev/skills/k-dense-ai-usfiscaldata (last updated 2026-10-24)