Use Cases
Market Intelligence

Track $1.54 trillion in federal spend

Agency budgets, NAICS trends, market share shifts, competitive dynamics — all queryable via API. Build the GovCon research platform your clients need.

$1.54T
Total spend indexed
5yr
Historical depth
12
SBIR agencies
13
State systems

The problem

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

1

Market reports take weeks to produce

Assembling agency spend data, top contractor rankings, and NAICS trends from USAspending requires complex queries and manual data cleaning.

2

Your data is always stale

By the time you publish a market report, the data is months old. Your clients need current intelligence, not historical snapshots.

3

Custom analysis requires custom pipelines

Every client wants a different cut — by agency, by NAICS, by geography, by set-aside type. You can't build a custom ETL for every request.

How GovData Labs helps

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

Market Overview

Market-level analytics

Top contractors, agency spend, year-over-year growth, market share — all filterable by NAICS, agency, and fiscal year. One endpoint, any market.

Entity Search

Competitive landscape mapping

Search and filter 845K+ contractors by any combination of NAICS, state, size, certifications. Build competitive landscapes programmatically.

SBIR/STTR Awards

Innovation tracking

Track SBIR/STTR awards across 12 agencies. Identify emerging technologies, innovative small businesses, and R&D spending patterns.

See it in action

Generate a market overview for NAICS 541512

Python
# Get market-level data for cybersecurity services
data = requests.get(
    "https://api.govdatalabs.com/api/v2/data/market/overview",
    params={"naics": "541512"},
    headers={"X-API-Key": API_KEY}
).json()

summary = data["market_summary"]
print(f"Total value (3yr): ${summary['total_value_3yr']:,.0f}")
print(f"Total awards (3yr): {summary['total_awards_3yr']:,}")
print(f"Unique contractors: {summary['unique_contractors']:,}")
print(f"Avg award: ${summary['avg_award_value']:,.0f}")

print("\nTop contractors:")
for c in data["top_contractors"][:5]:
    print(f"  {c['name']}: ${c['value']:,.0f} ({c['awards']} awards)")

Build better market intelligence

Power your research platform with real-time federal spending data.