--- license: cc0-1.0 task_categories: - text-classification - tabular-classification - tabular-regression language: - en tags: - federal - government - regulatory - united-states - public-data - cc0 - us-drug-enforcement-administration - dea - controlled-substances - schedule-i pretty_name: "DEA Federal Register actions" size_categories: - unknown homepage: https://api.ai-analytics.org/datasets/dea-actions --- # DEA Federal Register actions (7,024 docs: 1,232 enforcement + 317 scheduling + 4,268 registrations) Every Drug Enforcement Administration Federal Register document since 1994 — Controlled Substances Act scheduling decisions (CUMYL-PEGACLONE Schedule I 2026, hexahydrocannabinol 2026), bulk manufacturer registrations, importer/exporter applications, aggregate production quotas, and most importantly **1,232 Decision-and-Order enforcement revocations** against pharmacies, physicians, and distributors who violated controlled-substance regulations (Pine Pharmacy 2026, Hovic Pharmacy 2025, John Bender M.D. 2026). Categorized as enforcement / scheduling / quota / application / hearing / other. Source: `federalregister.gov/api/v1/documents.json` (public JSON API, no auth). Distinct from HHS-OIG enforcement (healthcare fraud), IRS-CI (tax/PPP fraud) — this is DEA-specific controlled-substance regulation. ## 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/dea/actions/recent` - **Dataset landing page**: - **DataCatalog (JSON-LD)**: - **DCAT-US (data.gov-compatible)**: ### Quick start ```bash # Recent records (JSON) curl 'https://api.ai-analytics.org/api/v1/dea/actions/recent?limit=10' # Browse on the web open 'https://api.ai-analytics.org/datasets/dea-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 Drug Enforcement Administration - **Primary source**: - **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 DEA, controlled substances, Schedule I, Schedule II, DEA registration, pharmacy revocation, physician DEA, opioid prescribing, Decision and Order, Federal Register ## Citation ```bibtex @misc{ai_analytics_dea_actions_2026, title = {{name}}, author = {AI Analytics}, year = {2026}, url = {https://api.ai-analytics.org/datasets/dea-actions}, note = {Derived from US Drug Enforcement 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.*