Initial card for faa-aircraft

README.md

@@ -0,0 +1,85 @@
+---
+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-aircraft-registry
+  - n-number
+  - tail-number
+pretty_name: "FAA Aircraft Registry"
+size_categories:
+  - unknown
+homepage: https://api.ai-analytics.org/datasets/faa-aircraft
+---
+
+# FAA Aircraft Registry (312k+ US-registered civil aircraft)
+
+Every US-registered civil aircraft from the FAA Aircraft Registry. **312,733 aircraft** with N-number, manufacturer, model, year, owner name + city + state, type (Fixed Wing Single-Engine 221k / Multi-Engine 49k / Rotorcraft 27k / Balloon 5k / Glider 5k / Hybrid Lift 2k / Powered Parachute 2k / Gyroplane 401 / Blimp 49), engine type, seats, Mode-S transponder hex code, registration status, certificate dates. Each canonical page links to FAA Aircraft Inquiry + ADS-B Exchange live tracking (when Mode-S code present). Source: registry.faa.gov/database/ReleasableAircraft.zip (weekly refresh, 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/faa/aircraft/recent`
+- **Dataset landing page**: <https://api.ai-analytics.org/datasets/faa-aircraft>
+- **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/aircraft/recent?limit=10'
+
+# Browse on the web
+open 'https://api.ai-analytics.org/datasets/faa-aircraft'
+```
+
+### 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://registry.faa.gov/>
+- **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 Aircraft Registry, N-number, tail number, civil aircraft, Mode S, ADS-B, aircraft owner, aircraft manufacturer, Cessna, Boeing, Robinson, private jet
+
+## Citation
+
+```bibtex
+@misc{ai_analytics_faa_aircraft_2026,
+  title  = {{name}},
+  author = {AI Analytics},
+  year   = {2026},
+  url    = {https://api.ai-analytics.org/datasets/faa-aircraft},
+  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.*