FedComp Index Classification

Federal contractor posture classification. Classifies any federal contractor into one of four Posture Classes using two-axis thresholds on public award data from USASpending.gov.

Each contractor is classified along two independent axes: award volume (total contract dollars including delivery orders) and award frequency (base contracts only), over a trailing 5-year window:

• Class 1 - high volume + high frequency (systematic winners, $5M+ total across 3+ base contracts)
• Class 2 - high volume + low frequency (concentrated risk, $5M+ total but fewer than 3 base contracts)
• Class 3 - low volume + high frequency (growth pipeline, under $5M total but 3+ base contracts)
• Class 4 - low volume + low frequency (entry level)

Install

npm install fedcomp-index-scoring

Usage

const { classifyContractor, PostureClass } = require("fedcomp-index-scoring");

const result = classifyContractor(15_000_000, 8);

result.postureClass;      // "Class 1"
result.highVolume;        // true
result.highFrequency;     // true
result.obligationDensity; // 1875000

Classification methodology

Two-axis classification. Volume counts all contract types (base + delivery orders). Frequency counts definitive contracts and purchase orders only (BPA calls, delivery orders, and task orders excluded).

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

The two axes are independent dimensions. Neither can be derived from the other. A contractor with $50M across 2 base contracts and a contractor with $50M across 20 base contracts are fundamentally different competitive species, even though their volume is identical. Obligation Density (OD) = total dollars / base contracts.

| Posture Class | Volume | Frequency | Competitive profile | |---------------|--------|-----------|-------------------| | Class 1 | >= $5M total | >= 3 base contracts | Systematic winner, repeatable pipeline | | Class 2 | >= $5M total | < 3 base contracts | Concentrated risk, few large wins | | Class 3 | < $5M total | >= 3 base contracts | Growth pipeline, building momentum | | Class 4 | < $5M total | < 3 base contracts | Entry level |

Obligation density (dollars per base contract) is computed as a derived metric but does not affect classification.

Full methodology: fedcompindex.org/methodology

Related packages

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

Also available on PyPI

pip install fedcomp-index-scoring

• fedcomp-index - meta-package
• fedcomp-index-scoring - classification engine
• fedcomp-index-data - pre-classified datasets

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, UEI
• SBA.gov - small business certification verification

Live classifications

Classified contractor rankings with dossier pages, proximity maps, and velocity tracking:

• Nevada - 779 contractors classified

Datasets

Pre-classified datasets available for 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

Citation

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

License

MIT