---
license: cc0-1.0
task_categories:
  - text-classification
  - tabular-classification
  - tabular-regression
language:
  - en
tags:
  - federal
  - government
  - regulatory
  - united-states
  - public-data
  - cc0
  - usaspending-gov-treasury-bureau-of-the-f
  - federal-contractor
  - federal-grant-recipient
  - usaspending
pretty_name: "Top federal award recipients"
size_categories:
  - unknown
homepage: https://api.ai-analytics.org/datasets/fed-recipients
---

# Top federal award recipients (USAspending — 10k entities by award $$$)

Top 10,000 federal award recipients ranked by total dollars received. Includes contracts, grants, loans across DOD, HHS, NSF, NIH, USDA, and all civilian agencies. Examples: **Lockheed Martin $49.6B** (defense), **CA Dept of Healthcare Services $112.3B** (Medicaid), **NY State Dept of Health $75.6B**, plus universities (Johns Hopkins, MIT, Stanford), hospitals, nonprofits, and corporations. Each entity has the USAspending Recipient ID, UEI (modern Unique Entity Identifier replacing DUNS), entity type (corporation / government / university / nonprofit / healthcare), total lifetime award dollars, and rank. schema.org/Organization JSON-LD with UEI + DUNS identifiers. Source: api.usaspending.gov/api/v2/recipient/ (public POST API, no auth).

## Live API

This dataset is served via a **live REST API** at `api.ai-analytics.org`. The card you're reading exists so HuggingFace's index can route AI agents + researchers to the canonical source.

- **API endpoint**: `https://api.ai-analytics.org/api/v1/fed-recipients/top`
- **Dataset landing page**: <https://api.ai-analytics.org/datasets/fed-recipients>
- **DataCatalog (JSON-LD)**: <https://api.ai-analytics.org/.well-known/dataset.json>
- **DCAT-US (data.gov-compatible)**: <https://api.ai-analytics.org/data.json>

### Quick start

```bash
# Recent records (JSON)
curl 'https://api.ai-analytics.org/api/v1/fed-recipients/top?limit=10'

# Browse on the web
open 'https://api.ai-analytics.org/datasets/fed-recipients'
```

### MCP (Model Context Protocol)

This dataset is also accessible via MCP at `https://api.ai-analytics.org/mcp` — Claude, ChatGPT, and other MCP-compatible agents can call it directly.

## Source

- **Agency**: USAspending.gov (Treasury Bureau of the Fiscal Service)
- **Primary source**: <https://www.usaspending.gov/recipient>
- **License**: CC0 1.0 Universal (derived data). Underlying federal works are US public domain under [5 USC 105](https://www.law.cornell.edu/uscode/text/5/105) / [17 USC 105](https://www.law.cornell.edu/uscode/text/17/105).
- **Update cadence**: Per agency (most refresh daily via Cloudflare Cron Trigger)

## Keywords

federal contractor, federal grant recipient, USAspending, Lockheed Martin, Boeing, Raytheon, UEI, DUNS, federal contract, DOD contractor

## Citation

```bibtex
@misc{ai_analytics_fed_recipients_2026,
  title  = {{name}},
  author = {AI Analytics},
  year   = {2026},
  url    = {https://api.ai-analytics.org/datasets/fed-recipients},
  note   = {Derived from USAspending.gov (Treasury Bureau of the Fiscal Service). License: CC0 1.0.}
}
```

## Related

- [Full data catalog (100 datasets)](https://api.ai-analytics.org/datasets/)
- [Unified compliance screening (30+ enforcement lists)](https://api.ai-analytics.org/api/v1/screening/all)
- [Cross-vertical entity timeline](https://api.ai-analytics.org/api/v1/entity/AAPL/timeline)
- [OpenAPI 3.1 spec](https://api.ai-analytics.org/openapi.json)
- [llms.txt for AI agents](https://api.ai-analytics.org/llms.txt)

---
*Maintained by [AI Analytics](https://ai-analytics.org). Data is CC0; please cite the upstream agency.*