Open source competitive intelligence for federal contractors. Scores every small business in a state from 0 to 100 based on public award data.
If you're a small business trying to win federal contracts, you're competing blind. The primes have data teams and market intelligence. Everyone else has a SAM.gov login and guesswork.
FedComp Index pulls five years of USASpending award data, scores every contractor on an absolute scale, and publishes the results. Free, open, no account required. Every contractor gets a public dossier with their score, class, contract history, and a proximity map showing who they're actually competing against.
Two drivers, no normalization:
| Driver | Weight | How it works |
|---|---|---|
| Award volume | 90% | log10 of total dollars won, mapped to 0-100 |
| Award recency | 10% | Last award date, bucketed by age |
Classes are fixed thresholds:
- Class 1 - score 60+ (~$100M+ in awards)
- Class 2 - score 40-59 (~$5M-$100M)
- Class 3 - below 40
Full methodology: fedcompindex.org/methodology
Static site. No frameworks, no build pipeline.
ingest/ SAM.gov, USASpending, SBA data pulls
score/ Scoring engine (Python)
generate/ Static site builder (Python + Jinja2)
site/ Templates, CSS, JS
api/ Cloudflare Worker (spectator page views)
Python generates HTML. Cloudflare Pages serves it. The spectator API runs on a Cloudflare Worker with D1 for anonymous page view counts.
Python:
pip install fedcomp-index-scoringnpm:
npm install fedcomp-indexAll public, no API keys required:
- USASpending.gov - award history, dollar amounts, agencies, NAICS, PSC
- SAM.gov - entity registration, certifications, CAGE/UEI
- SBA - certification verification
- Methodology - how the FedComp Index score is calculated
- FAQ - posture classes, index drivers, proximity maps, and more
- Tabularium - all data, tools, and downloads
pip install -r requirements.txt
python generate/build.py --state NV
# site/dist/ has the outputSee CONTRIBUTING.md. Bug reports, data improvements, and new state coverage are all welcome.