fedcomp-index 2026.3.2

Federal contractor competitive intelligence. Posture scoring, posture classes, and scored datasets for every federal contractor.

FedComp Index

Federal contractor competitive intelligence. Scores every federal contractor in a state from 0 to 100 based on public award data, assigns posture classes, and provides pre-scored datasets.

This is the meta-package. It installs:

• fedcomp-index-scoring - posture score computation engine
• fedcomp-index-data - pre-scored contractor datasets

Install

pip install fedcomp-index

Usage

from fedcomp_index import score_contractor, load_state, lookup, PostureClass

# Score a contractor from raw award data
result = score_contractor(
    total_awards_usd=45_000_000,
    last_award_date="2025-09-15"
)
print(result.fedcomp_index)   # 65
print(result.posture_class)   # PostureClass.CLASS_1

# Load pre-scored data
contractors = load_state("NV")
print(f"{len(contractors)} contractors scored")

# Look up by UEI
c = lookup("CGAKREGGN9J3")
print(c["legal_name"])        # FLEET VEHICLE SOURCE INC
print(c["fedcomp_index"])     # 81
print(c["posture_class"])     # Class 1

Posture scoring methodology

Two index drivers, no normalization:

Index 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

Posture classes are fixed thresholds:

Posture class	FedComp Index score	Typical award volume
Class 1	60-100	$100M+
Class 2	40-59	$5M-$100M
Class 3	0-39	Under $5M

Full methodology: fedcompindex.org/wiki/methodology

Packages

Package	What it does
fedcomp-index	Meta-package (this one)
fedcomp-index-scoring	Posture score computation
fedcomp-index-data	Pre-scored contractor datasets

Data sources

All public federal records:

• USASpending.gov - award history, dollar amounts, agencies, NAICS, PSC
• SAM.gov - entity registration, certifications, CAGE/UEI
• SBA.gov - certification verification

Datasets

• Nevada Federal Contractors (HuggingFace)
• Nevada Federal Contract Awards (HuggingFace)
• Nevada Federal Contractors (Kaggle)

Links

• Website: https://fedcompindex.org/
• GitHub: https://github.com/npetro6/FedCompIndex
• Methodology: https://fedcompindex.org/wiki/methodology/
• Nevada Rankings: https://fedcompindex.org/nv/
• HuggingFace (Contractors): https://huggingface.co/datasets/npetro6/nevada-federal-contractors
• HuggingFace (Awards): https://huggingface.co/datasets/npetro6/nevada-federal-awards
• Kaggle (Contractors): https://www.kaggle.com/datasets/npetro6/nevada-federal-contractors-fedcomp-index
• Kaggle (Awards): https://www.kaggle.com/datasets/npetro6/nevada-federal-awards-2026-02
• PyPI: https://pypi.org/project/fedcomp-index/
• PyPI (Scoring): https://pypi.org/project/fedcomp-index-scoring/
• PyPI (Data): https://pypi.org/project/fedcomp-index-data/

Citation

@software{fedcomp_index,
  title = {FedComp Index},
  author = {FedComp Index},
  url = {https://fedcompindex.org/},
  year = {2026}
}

License

MIT