mts_table_3: Get Monthly Treasury Statement - Outlays by Function

API: treasury.gov:fed-treasury
Endpoint: /v1/accounting/mts/mts_table_3
Response format: application/json
Auth: none
Method: GET
Last Status: 200
Latency: 895ms

Description

Returns detailed monthly outlay data from the Monthly Treasury Statement (Table 3), showing federal spending by function and agency. Use this to analyze spending patterns across government departments, track budget allocations by program, and monitor fiscal year-to-date outlays.

From spec: Returns monthly government outlays by function.

Usage Tips

- Data published monthly after month-end - Classification_desc contains agency/department names - current_month_rcpt_outly_amt shows monthly spending - current_fytd_rcpt_outly_amt shows fiscal year-to-date totals

Parameters (4)

filter (string, query, optional)

Filter criteria

page[number] (integer, query, optional, default: 1)

Page number

page[size] (integer, query, optional, default: 100)

Number of records per page

sort (string, query, optional)

Sort field and direction

Examples (1)

Get outlays by function probe-gate

Demonstrates fetching monthly government outlays broken down by function and agency.

curl 'https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v1/accounting/mts/mts_table_3?page%5Bsize%5D=3&sort=-record_date'
import requests

resp = requests.get(
    "https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v1/accounting/mts/mts_table_3",
    params={
        'page[size]': '3',
        'sort': '-record_date',
    },
)
data = resp.json()
import zingu_apis

api = zingu_apis.api("treasury")
result = api.fetch("v1/accounting/mts/mts_table_3", page[size]=3, sort="-record_date")

for item in result:
    print(item)
const resp = await fetch("https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v1/accounting/mts/mts_table_3?page%5Bsize%5D=3&sort=-record_date");
const data = await resp.json();

Probe History

Latency

Status Codes

TimeStatusLatencySize
2026-04-16 00:12:14.704191 200 895ms
2026-04-15 00:30:59.668934 200 950ms
2026-04-14 02:13:07.882698 200 836ms
2026-04-12 12:34:31.906911 200 920ms
2026-04-10 02:08:03.340872 200 730ms