You have a great idea for a GovCon product — a proposal tool, a CRM, a compliance platform, a competitive intelligence dashboard. The features are clear, the market is defined, the first customers are waiting.
Then you hit the data question: Where does the federal contractor data come from?
This decision will determine whether you ship in weeks or months. Choose wrong and you'll spend more time building data pipelines than product features.
The Three Options
Option 1: Build Your Own Data Pipeline
**What it involves:**
- Download SAM.gov bulk XML files (monthly, several GB)
- Ingest USAspending data (30M+ records)
- Build a normalization layer to link entities across sources
- Parse FPDS for detailed contract actions
- Set up ongoing ETL to keep data current
- Build an internal API layer for your product to query
**Timeline:** 3-6 months before your first product feature uses live data
**Cost:** $100K+ in engineering time (1-2 engineers for 3-6 months)
**Ongoing maintenance:** Government formats change. SAM.gov has had 4 major schema changes since 2022. Each one breaks your parser.
**What you get:** Full control over the data, no vendor dependency, ability to customize the schema exactly for your needs.
**What you don't get:** Contacts (different source), AI capabilities (you'd need to build NLP pipelines), teaming intelligence (requires co-occurrence analysis across 30M+ records), semantic search (requires embedding infrastructure).
Option 2: Use Government APIs Directly
**What it involves:**
- USAspending API for award data
- SAM.gov has no API (bulk download only)
- beta.SAM.gov has limited entity registration API
- FPDS Atom feeds for contract actions
**Timeline:** 2-4 weeks for basic integration, but limited data
**Cost:** Free (government APIs are public)
**Problems:**
- SAM.gov entity data requires bulk download + ETL (back to Option 1)
- USAspending API is slow (10-30 second queries common)
- No unified entity model across sources
- No contacts, capabilities, or enrichment
Option 3: Use a Commercial Data API
**What it involves:**
- Sign up, get an API key
- Query 15 endpoints for entities, awards, contacts, capabilities, teaming, opportunities
- Integrate JSON responses into your product
**Timeline:** Days to weeks
**Cost:** $99-1,499/mo depending on volume
**What you get:** All the data from Option 1, plus contacts, AI capabilities, teaming intelligence, semantic search — without building any infrastructure.
**Tradeoff:** Vendor dependency for the data layer. Your product logic and UI are yours, but the data comes from an external API.
The Right Choice Depends on Your Stage
**Pre-revenue / MVP stage:** Use a commercial API. Ship the product, validate the market, get customers. You can always bring data in-house later if economics justify it.
**Growth stage ($1M+ ARR):** Evaluate whether the API cost ($6K-18K/year) is justified vs. hiring a data engineer ($150K+/year). Usually the API is still cheaper and more reliable.
**Enterprise stage ($10M+ ARR):** Consider a hybrid. Use the API for standard data and build custom pipelines for proprietary enrichment that differentiates your product.
The Real Cost of "Build It Yourself"
The hidden cost isn't the initial build — it's the ongoing maintenance:
- SAM.gov format changes (quarterly)
- USAspending schema updates (annual)
- FPDS feed reliability issues (ongoing)
- Data quality cleanup (constant)
- Infrastructure costs (servers, databases, monitoring)
We've talked to teams that spent $500K over 3 years maintaining their data pipeline. That's $500K they didn't spend on product features.
How GovData Labs Fits
We're the "build" option that you don't have to build. One API key, 15 endpoints, 845K+ entities, 30M+ awards. The data layer for your GovCon product.
Start with the Sandbox (free) to evaluate, upgrade when you're ready to ship.