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FedComp Index scoring engine. Computes posture scores and posture classes for federal contractors from USASpending award data.

Project description

FedComp Index Scoring

FedComp Index

Federal contractor posture scoring. Scores any federal contractor from 0 to 100 based on public award data from USASpending.gov.

Each contractor receives a FedComp Index score and a posture class:

  • Class 1 (score 60+) - dominant award volume, typically $100M+ over 5 years
  • Class 2 (score 40-59) - mid-tier, typically $5M-$100M
  • Class 3 (below 40) - emerging or low-volume

Install

pip install fedcomp-index

Usage

from fedcomp_index import score_contractor, PostureClass

result = score_contractor(
    total_awards_usd=45_000_000,
    last_award_date="2025-09-15"
)

result.fedcomp_index    # 58
result.posture_class    # PostureClass.CLASS_2
result.volume_driver    # 55
result.recency_driver   # 100

FedComp Index scoring methodology

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

The FedComp Index score is an absolute measure. A contractor scoring 60 always represents roughly the same award volume regardless of state or time period. Scores are not percentile-ranked against peers.

Posture classes use fixed thresholds tied to the score:

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/methodology

Data sources

All data is sourced from public federal records:

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

Live rankings

Scored contractor rankings with dossier pages, proximity maps, and spectator tracking:

  • Nevada - 348 contractors scored

Datasets

Pre-scored datasets available for download:

Also available on npm

npm install fedcomp-index-scoring

Links

Citation

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

License

MIT

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