Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fedcomp_index_scoring-2026.3.3.tar.gz (5.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fedcomp_index_scoring-2026.3.3-py3-none-any.whl (5.5 kB view details)

Uploaded Python 3

File details

Details for the file fedcomp_index_scoring-2026.3.3.tar.gz.

File metadata

  • Download URL: fedcomp_index_scoring-2026.3.3.tar.gz
  • Upload date:
  • Size: 5.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for fedcomp_index_scoring-2026.3.3.tar.gz
Algorithm Hash digest
SHA256 793da0727c5a020afc63ead358da12367b9721f5fcc5526e3c85ec1256221b52
MD5 09c5d08d813af18b4e6a8954272355f5
BLAKE2b-256 e5fc086080a09c63c8ee0782d4a1acc0e40e1a80374fbbfc80d9306713bed4aa

See more details on using hashes here.

File details

Details for the file fedcomp_index_scoring-2026.3.3-py3-none-any.whl.

File metadata

File hashes

Hashes for fedcomp_index_scoring-2026.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 8a993e01de5e433af1216080ee2f232f2bc2e89a0d5949bd674c7526a52fb26d
MD5 f45252161ee6fbe13e0ea741ff729c8a
BLAKE2b-256 683856e2dc4b3b05523063b21e83e199c2573343579fed6465945de4e4933b36

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page