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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

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/wiki/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:

Source

Citation

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

License

MIT

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