FedComp Index Data

Pre-scored federal contractor datasets bundled for Node.js. Each contractor has a FedComp Index score (0-100) and posture class assignment based on five years of USASpending award data.

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

// 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.legal_name);      // FLEET VEHICLE SOURCE INC
console.log(c.fedcomp_index);   // 81
console.log(c.posture_class);   // Class 1

Available states

| State | Contractors | Updated | |-------|-------------|---------| | Nevada (NV) | 349 | March 2026 |

More states are added as the FedComp Index expands coverage.

Data fields

| Field | Description | |-------|-------------| | rank | FedComp Index rank within the state | | legal_name | Registered legal name from SAM.gov | | uei | Unique Entity Identifier | | cage | CAGE code | | fedcomp_index | FedComp Index score (0-100) | | posture_class | Posture class: Class 1 (60+), Class 2 (40-59), Class 3 (<40) | | awards_5yr_total_usd | Total award dollars over trailing 5-year window | | award_count | Number of distinct awards | | 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 score was computed |

FedComp Index scoring

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 |

Posture classes are fixed thresholds:

• Class 1 - score 60+ (~$100M+ in awards)
• Class 2 - score 40-59 (~$5M-$100M)
• Class 3 - below 40

Full methodology: fedcompindex.org/methodology

Related packages

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

Also available on PyPI

pip install fedcomp-index-data

• fedcomp-index - meta-package
• fedcomp-index-scoring - scoring engine
• fedcomp-index-data - pre-scored datasets

Data sources

• USASpending.gov - award history
• SAM.gov - entity registration
• SBA.gov - certification verification

Datasets

Also available for direct download:

• Nevada Federal Contractors - FedComp Index (HuggingFace)
• Nevada Federal Contract Awards - Monthly (HuggingFace)
• Nevada Federal Contractors - FedComp Index (Kaggle)
• Nevada Federal Contract Awards - Monthly (Kaggle)

Links

• Website: https://fedcompindex.org/
• Nevada Rankings: https://fedcompindex.org/nv/
• Methodology: https://fedcompindex.org/methodology/
• Tabularium: https://fedcompindex.org/tabularium/
• FAQ: https://fedcompindex.org/faq/
• Source: https://github.com/fedcompindex/FedCompIndex
• PyPI: https://pypi.org/project/fedcomp-index/
• HuggingFace: https://huggingface.co/datasets/npetro6/nevada-federal-contractors
• Kaggle: https://www.kaggle.com/datasets/npetro6/nevada-federal-contractors-fedcomp-index

License

MIT