---
license: cc0-1.0
task_categories:
  - text-classification
  - tabular-classification
  - tabular-regression
language:
  - en
tags:
  - federal
  - government
  - regulatory
  - united-states
  - public-data
  - cc0
  - u-s-mine-safety-and-health-administratio
  - msha
  - mine-violations
  - s-s-citation
pretty_name: "MSHA enforcement citations"
size_categories:
  - unknown
homepage: https://api.ai-analytics.org/datasets/msha-violations
---

# MSHA enforcement citations (S&S, penalties, contested)

Every citation, order, and safeguard issued by an MSHA inspector since 2000 — 3,073,443 records, of which 812,125 are flagged Significant & Substantial (S&S). Total proposed penalties: $1.81 billion. Names the controller, violator (operator or contractor), mine, the exact rule cited (e.g. 30 CFR 75.400 — accumulation of combustible materials), likelihood of injury, negligence level, whether the operator contested, and the dollar amount actually paid vs. proposed. The S&S flag is the single best leading indicator of fatal-accident risk; the Upper Big Branch disaster was preceded by hundreds of contested S&S citations Massey didn't correct.

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

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

### 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**: U.S. Mine Safety and Health Administration
- **Primary source**: <https://arlweb.msha.gov/OpenGovernmentData/OGIMSHA.asp>
- **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

MSHA, mine violations, S&S citation, Significant and Substantial, 30 CFR, mine safety enforcement, penalty, Section 104, contested citation

## Citation

```bibtex
@misc{ai_analytics_msha_violations_2026,
  title  = {{name}},
  author = {AI Analytics},
  year   = {2026},
  url    = {https://api.ai-analytics.org/datasets/msha-violations},
  note   = {Derived from U.S. Mine Safety and Health 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.*