# US Treasury Securities Auctions — official Fiscal Data API, no  (`pappy-dev/treasury-auctions`) Actor

Historical U.S. Treasury auction results (Bills, Notes, Bonds, TIPS, FRNs) via the official public Fiscal Data API — no login, no API key. Query any security term and get every auction: yield, bid-to-cover ratio, offering amount, tender totals. Official U.S. gov data, licensed for commercial reuse.

- **URL**: https://apify.com/pappy-dev/treasury-auctions.md
- **Developed by:** [Backyard Tools](https://apify.com/pappy-dev) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 auction record scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## US Treasury Securities Auctions — official Fiscal Data API, no login

Historical auction results for U.S. Treasury securities — Bills, Notes, Bonds, TIPS, and
Floating Rate Notes, back to 1979 — pulled from the official **U.S. Department of the
Treasury, Bureau of the Fiscal Service** public Fiscal Data REST API
(`api.fiscaldata.treasury.gov`). No account, no API key, no proxies.

The Fiscal Data license page states it plainly: "The data is offered free, without restriction,
and available to copy, adapt, redistribute, or otherwise use for non-commercial or commercial
purposes."

This is auction-level data (one row per auctioned security) — high/median/low yield, price,
bid-to-cover ratio, offering amount, and competitive/noncompetitive/direct/indirect bidder
totals. It's a different cut from average interest rates or exchange rates: this is what the
market actually paid at each individual auction.

### Tested (2026-09-02)

| Target | Records returned | Notes |
|---|---:|---|
| `10-Year` (security\_term) | 223 | back to the 1970s |
| `Bill` (security\_type) | 8,321 | all bill auctions on file |
| `99-Year` (nonexistent) | 0 | empty result, no error |

### Treasury auction API — input

```json
{
  "targets": ["10-Year", "2-Year"],
  "maxItems": 2000
}
```

Each target is a **security term or security type** exactly as Treasury lists it (e.g.
`4-Week`, `13-Week`, `52-Week`, `2-Year`, `10-Year`, `30-Year`, or a type like `Bill`, `Note`,
`Bond`, `TIPS`, `FRN`). A term/type with no matching records simply returns 0 items for that
target (no charge).

### Treasury auction API — output fields

One dataset item per auctioned security:

| Field | |
|---|---|
| `cusip` / `security_type` / `security_term` | the instrument identifier and classification |
| `auction_date` / `issue_date` / `maturity_date` | the auction timeline |
| `high_yield` / `avg_med_yield` / `low_yield` | yield stopped out at auction |
| `high_price` / `low_price` / `int_rate` | pricing and coupon |
| `bid_to_cover_ratio` | demand strength (total bids / amount offered) |
| `offering_amt` / `comp_accepted` / `comp_tendered` / `total_accepted` / `total_tendered` | offering size and bid volume |
| `indirect_bidder_accepted` / `direct_bidder_accepted` | foreign/institutional vs. direct bidder allocation |

No personal data: these are auction results for government securities, not individual
transactions or people.

### Why this over Treasury's own website

fiscaldata.treasury.gov's UI is built for browsing one dataset at a time. This actor runs a
batch of security terms/types in one call and hands back structured rows — for building
auction-history trackers, fixed-income research pipelines, or datasets that need this as data,
not a web page.

### Use Cases

- **Fixed-income research** — track yield and bid-to-cover trends across auctions for a given security term
- **Demand analysis** — compare direct / indirect / competitive bidder allocation to gauge investor appetite
- **Historical rate trackers** — build a time series of auction results back to the 1970s
- **Macro research** — correlate auction demand with broader interest-rate cycles

### Pricing

Pay per event: **$1.00 per 1,000 auction records** collected. Nothing else.

# Actor input Schema

## `targets` (type: `array`):

Treasury の公式表記で証券区分を指定。security\_term の例: 4-Week, 8-Week, 13-Week, 17-Week, 26-Week, 52-Week, 2-Year, 3-Year, 5-Year, 7-Year, 10-Year, 20-Year, 30-Year。security\_type の例: Bill, Note, Bond, TIPS, FRN。fiscaldata.treasury.gov の Treasury Securities Auctions Data で使われている表記と一致させる。複数指定可

## `maxItems` (type: `integer`):

1 run で取得する最大件数

## Actor input object example

```json
{
  "targets": [
    "10-Year"
  ],
  "maxItems": 2000
}
```

# Actor output Schema

## `items` (type: `string`):

取得した各件（type=item）と、選択した分析の結果（type=analysis）

## `overview` (type: `string`):

件数・平均評点・期間・ネガティブ比率（下側信頼限界つき）

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "targets": [
        "10-Year"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("pappy-dev/treasury-auctions").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "targets": ["10-Year"] }

# Run the Actor and wait for it to finish
run = client.actor("pappy-dev/treasury-auctions").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "targets": [
    "10-Year"
  ]
}' |
apify call pappy-dev/treasury-auctions --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pappy-dev/treasury-auctions"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/9uOG8aGaDoTSzb7p7/builds/JlCmFfv2RhczQcS4N/openapi.json