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.
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FedComp Index Data

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-dataUsage
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 1Available 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- fedcomp-index - meta-package
- fedcomp-index-scoring - classification engine
- fedcomp-index-data - pre-classified 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
