Use Cases
Private Equity & M&A

Due diligence data on demand

Evaluate GovCon acquisition targets in hours, not weeks. Contract concentration, agency diversity, revenue trends, recompete risk — all via API.

30M+
Contract awards
$1.54T
Award value indexed
295K
Teaming relationships
5yr
History depth

The problem

Sound familiar? These are the challenges we hear from teams like yours.

1

Due diligence takes weeks of manual research

Your analysts spend days clicking through SAM.gov, USAspending, and FPDS to build a picture of a target's federal business. Every deal requires starting from scratch.

2

You can't assess concentration risk quickly

Is 80% of revenue from one agency? One contract? One recompete? Answering these questions manually means you miss fast-moving deals.

3

Competitive landscape is opaque

Who else competes for the same contracts? Who are the incumbent's teaming partners? This intelligence is scattered across a dozen federal databases.

How GovData Labs helps

Purpose-built API endpoints that solve these problems out of the box.

Award History

5-year contract backlog analysis

30M+ awards with agency, value, NAICS, and set-aside data. Calculate contract concentration, revenue trends, and recompete timelines programmatically.

Teaming Partners

Relationship mapping

295K teaming pairs with relationship scores. See who your target works with, who they compete against, and where their partnerships are strongest.

Market Overview

Market sizing and positioning

Top contractors by NAICS, agency spend trends, market share data. Position your target within its competitive landscape in minutes.

See it in action

Assess a target's contract concentration

Python
# Pull award history for an acquisition target
awards = requests.get(
    "https://api.govdatalabs.com/api/v2/data/entities/MBPHTU7Y9S65/awards",
    params={"limit": 100},
    headers={"X-API-Key": API_KEY}
).json()

# Calculate agency concentration
from collections import Counter
agencies = Counter(a["agency"] for a in awards["awards"])
top_agency = agencies.most_common(1)[0]

# Check teaming relationships
teaming = requests.get(
    "https://api.govdatalabs.com/api/v2/data/entities/MBPHTU7Y9S65/teaming",
    headers={"X-API-Key": API_KEY}
).json()

print(f"Top agency: {top_agency[0]} ({top_agency[1]} awards)")
print(f"Teaming partners: {teaming['count']}")

Move faster on GovCon deals

Get API access to the data your analysts need for due diligence.