---
license: cc0-1.0
task_categories:
  - text-classification
  - tabular-classification
  - tabular-regression
language:
  - en
tags:
  - federal
  - government
  - regulatory
  - united-states
  - public-data
  - cc0
  - us-federal-aviation-administration
  - faa
  - airworthiness-directive
  - ad
pretty_name: "FAA Federal Register Final Rules"
size_categories:
  - unknown
homepage: https://api.ai-analytics.org/datasets/faa-actions
---

# FAA Federal Register Final Rules (22,897 docs: 12,805 Airworthiness Directives + 5,100 airspace + others)

Every FAA Final Rule published in the Federal Register 1994-2026 — most are **Airworthiness Directives** (mandatory aircraft-fleet fix orders, the FAA equivalent of NHTSA recalls) against Boeing, Airbus, Dassault, ATR-GIE, Cessna, etc. Each AD mandates: every plane of model X must comply with fix Y by date Z or be grounded. Recent examples (May 2026): Airbus SAS Airplanes (multiple), Dassault Aviation Airplanes, ATR-GIE Avions de Transport Régional. Also 5,100 airspace reclassifications (Class B/C/D/E around airports) and 50 flight-standards rules. Complements existing NTSB aviation accidents (94k post-event records, 49.8k deaths) with the regulator's pre-emptive layer. Source: `federalregister.gov/api/v1/documents.json` (FAA agency filter + RULE type, paginated year-by-year 1994-2026 to bypass 10k cap).

## 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/faa/actions/recent`
- **Dataset landing page**: <https://api.ai-analytics.org/datasets/faa-actions>
- **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/faa/actions/recent?limit=10'

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

### 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**: US Federal Aviation Administration
- **Primary source**: <https://www.federalregister.gov/agencies/federal-aviation-administration>
- **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

FAA, Airworthiness Directive, AD, aviation safety, aircraft fleet, Boeing recall, Airbus AD, airspace classification, Federal Register

## Citation

```bibtex
@misc{ai_analytics_faa_actions_2026,
  title  = {{name}},
  author = {AI Analytics},
  year   = {2026},
  url    = {https://api.ai-analytics.org/datasets/faa-actions},
  note   = {Derived from US Federal Aviation Administration. 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.*