othergovernmentprocurementsole-sourcerfqdlaobsolete-parts

US Government Sole-Source Approvals and DLA Parts RFQs: 21k Asks, 26k Line Items, with Last Price Paid

Updated Oct 20, 2026

$249

Fixed price

Sample structure: 80.6 / 100

0 download links issued

Seller: Brick and Mortar

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Brick & Mortar data licence: internal commercial use incl. model training, no redistribution
Source / creator: Public meeting records (Legistar, Granicus, CivicClerk, BoardDocs, PrimeGov), Florida and Mississippi state procurement notices, SAM.gov, DLA DIBBS daily RFQ files; collected through 2026-10-17.
Collection method: A sole-source approval is a public body saying in its own minutes that only one vendor can supply something, which usually means a part or system nobody else makes any more. We read them from Legistar, Granicus, CivicClerk, BoardDocs, PrimeGov, Florida and Mississippi state notices and SAM.gov, and joined them with DLA's daily RFQ files (part number, NSN, approved CAGE sources, quantity, last award price). `is_open` marks asks still open for bids on 2026-10-17.
Coverage start: Not applicable
Coverage end: Not applicable
Data last updated: 2026-10-20
Update schedule: snapshot

Source documentation ↗

License terms ↗

Sample structure score: 80.6 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-20. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	30.6 / 50	202 of 330 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	202 of 202 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
ask_id	0 / 10	string	0 / 10
kind	0 / 10	string	0 / 10
source	0 / 10	string	0 / 10
agency	0 / 10	string	0 / 10
office	3 / 10	string	0 / 7
title	0 / 10	string	0 / 10
city	10 / 10	unknown	0 / 0
state	7 / 10	string	0 / 3
region	7 / 10	string	0 / 3
posted_on	0 / 10	string	0 / 10
due_on	3 / 10	string	0 / 7
amount_usd	8 / 10	number	0 / 2
amount_basis	8 / 10	string	0 / 2
is_open	0 / 10	boolean	0 / 10
url	0 / 10	string	0 / 10
line_no	0 / 10	number	0 / 10
part	0 / 10	string	0 / 10
manufacturer	3 / 10	string	0 / 7
model	9 / 10	string	0 / 1
part_numbers	0 / 10	string	0 / 10
nsn	3 / 10	number	0 / 7
approved_sources	3 / 10	string	0 / 7
qty	3 / 10	number	0 / 7
unit	3 / 10	string	0 / 7
line_price_usd	8 / 10	number	0 / 2
vendor	7 / 10	string	0 / 3
reason	7 / 10	string	0 / 3
equipment_class	7 / 10	string	0 / 3
is_obsolete	7 / 10	boolean	0 / 3
lead_time	10 / 10	unknown	0 / 0
last_paid	4 / 10	number	0 / 6
last_paid_on	4 / 10	string	0 / 6
last_qty	4 / 10	number	0 / 6

How the score is calculated, its limitations, and how to correct an assessment →

About this data

21,474 government purchasing asks: 2,730 sole-source approvals from city, county, state and federal meeting records (who was approved, for what, why, how much) and 18,741 Defense Logistics Agency DIBBS parts RFQs, with 26,577 line items carrying part numbers, NSNs, approved sources, quantities and the last price the government paid. One CSV, 26,577 rows; column meanings in the schema. No individual buyer or contracting-officer names, emails or phones (phone and email patterns are also stripped from titles and reasons); agencies, offices and vendors (companies) are named.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py 3c98c9ab-be95-4a67-ba8c-8877575f5434 --output dataset.bin

Schema

Name	Type	Description
ask_id	string
kind	string
source	string
agency	string
office	string
title	string
city	unknown
state	string
region	string
posted_on	string
due_on	string
amount_usd	number
amount_basis	string
is_open	boolean
url	string
line_no	number
part	string
manufacturer	string
model	string
part_numbers	string
nsn	number
approved_sources	string
qty	number
unit	string
line_price_usd	number
vendor	string
reason	string
equipment_class	string
is_obsolete	boolean
lead_time	unknown
last_paid	number
last_paid_on	string
last_qty	number

Sample Data

Download a free sample to inspect the data before purchasing.

Public sample only. Sign in to retrieve the full dataset, including free datasets.

For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "US Government Sole-Source Appr" })
// Found: 3c98c9ab-be95-4a67-ba8c-8877575f5434
buy_now({ dataset_id: "3c98c9ab-be95-4a67-ba8c-8877575f5434" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/3c98c9ab-be95-4a67-ba8c-8877575f5434 \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/3c98c9ab-be95-4a67-ba8c-8877575f5434/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "3c98c9ab-be95-4a67-ba8c-8877575f5434"}'