npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

fedcomp-index-data

v2026.3.7

Published

Pre-classified federal contractor datasets from the FedComp Index pipeline. Bundled CSV data with two-axis posture classification (volume x frequency) and four Posture Classes.

Readme

FedComp Index Data

FedComp Index

Pre-classified federal contractor datasets bundled for Node.js. Each contractor is assigned one of four FedComp Index Posture Classes using two-axis classification (volume x frequency) on base contracts over a trailing 5-year window.

Updated monthly with fresh data from the FedComp Index pipeline.

Install

npm install fedcomp-index-data

Usage

const { loadState, lookup, listStates } = require("fedcomp-index-data");

// Load all classified contractors for a state
const contractors = loadState("NV");
console.log(`${contractors.length} contractors classified`);

// Filter by posture class
const class1 = contractors.filter(c => c.posture_class === "Class 1");
console.log(`${class1.length} Class 1 contractors`);

// Look up a specific contractor by UEI
const c = lookup("CGAKREGGN9J3");
console.log(c.name);      // FLEET VEHICLE SOURCE INC
console.log(c.posture_class);   // Class 1

Available states

| State | Contractors | Updated | |-------|-------------|---------| | Nevada (NV) | 779 | March 2026 |

More states are added as the FedComp Index expands coverage.

Data fields

| Field | Description | |-------|-------------| | rank | Rank within the state (by total contract dollars) | | name | Registered legal name from SAM.gov | | uei | Unique Entity Identifier | | posture_class | Posture Class: Class 1, Class 2, Class 3, or Class 4 | | total_dollars_5yr | Total contract dollars (base + delivery orders) over trailing 5-year window | | base_contract_count | Number of distinct base contracts | | award_count | Total award count (including delivery/task orders) | | active_contracts | Currently active contracts | | last_award_date | Date of most recent award (YYYY-MM) | | primary_naics | Primary NAICS code | | top_agency | Most frequent awarding agency | | city | Registered city | | certifications | SBA certifications (pipe-separated) | | state | State of registration | | scored_date | Year-month this classification was computed |

Classification methodology

Two-axis classification. No composite score.

| Axis | Threshold | What it measures | |------|-----------|-----------------| | Volume | $5M total contract dollars | Scale of all obligated dollars (base + delivery orders) | | Frequency | 3 base contracts | Breadth of competitive base contract wins |

Four Posture Classes:

  • Class 1 - high volume + high frequency (systematic winners)
  • Class 2 - high volume + low frequency (concentrated risk)
  • Class 3 - low volume + high frequency (growth pipeline)
  • Class 4 - low volume + low frequency (entry level)

Full methodology: fedcompindex.org/methodology

Related packages

| Package | What it does | |---------|-------------| | fedcomp-index | Meta-package (installs both) | | fedcomp-index-scoring | Classification engine | | fedcomp-index-data | Pre-classified datasets (this one) |

Also available on PyPI

pip install fedcomp-index-data

Data sources

Datasets

Also available for direct download:

Links

License

MIT