US Federal Regulatory Data Hub

Key figures

Datasets

208

Canonical records

49.7M+

Agencies

45+

Sitemap chunks

9,938

Screening lists

30+

MCP tools

38+

Refresh

daily

License

CC0 1.0

Live row counts at api.ai-analytics.org/coverage. Source: live API. Generated 2026-06-05.

Catalog

All 208 datasets, sortable. Click any row to open the dataset's landing page on the API hub (Schema.org Dataset metadata + sample data + download links).

Common queries

Compliance screen across 30+ enforcement lists

OFAC, FinCEN, SAM, OIG, DOJ, CFPB, SEC, courts, Fed, FDIC, FINRA, CFTC, EPA, MSHA, OSHA, NHTSA, FDA warning letters, PCAOB, UFLPA, Trade.gov CSL, CISA — in a single GET returning a 0–100 risk score.

curl https://api.ai-analytics.org/api/v1/screening/all?name=Wells+Fargo

Every regulatory event for a company

Cross-agency timeline. Accepts ticker, CIK, UEI, LEI, DUNS.

curl https://api.ai-analytics.org/api/v1/entity/PFE/material-events?days=30

Example: ExxonMobil cross-agency timeline (30 EPA enforcement cases + 6 SEC filings).

What happened in federal regulatory today

CISA KEVs, NHTSA park-it recalls, FDA Class I recalls, federal court filings, DOJ press releases, OFAC additions, largest insider sells.

curl https://api.ai-analytics.org/today.md

Model Context Protocol

JSON-RPC over Streamable HTTP. 38+ tools covering every dataset. No auth, no API key.

https://api.ai-analytics.org/mcp

Methodology

Each dataset is ingested daily from its primary government source. Records are normalized into per-vertical SQLite tables on Cloudflare D1 and joined through an entity_master bridge keyed on CIK, ticker, UEI, LEI, DUNS, and NPI. Every response carries a _source envelope with the original URL, retrieval date, and license. The full ingest path traces:

Primary federal source URL
        │
        │  Daily refresh via Cloudflare cron
        ▼
49.7M+ canonical per-record URLs
        │
        ├──▶ HTML (browser, Schema.org JSON-LD)
        ├──▶ JSON (AI agents, jq)
        ├──▶ Markdown (LLM-friendly excerpts)
        └──▶ /mcp (Model Context Protocol)

See methodology for ingestion detail, the entity bridge, and refresh cadence per agency.

Discovery

Every page negotiates HTML, Markdown, or JSON-LD via Accept header or filename extension. Canonical record URLs are discoverable via a single sitemap index.

• Sitemap index: https://api.ai-analytics.org/sitemap.xml — 9,938+ shards
• robots.txt: https://api.ai-analytics.org/robots.txt — allow-list for 25+ AI crawler user-agents
• llms.txt: https://api.ai-analytics.org/llms.txt / /llms-full.txt
• OpenAPI: https://api.ai-analytics.org/openapi.json
• DataCatalog JSON-LD: /.well-known/dataset.json
• MCP server card: /.well-known/mcp/server-card.json

License and citation

Underlying federal works are US public domain (17 USC §105, 5 USC §105). The derived aggregate dataset is licensed CC0 1.0 Universal — attribution-free reuse, including for AI training. Every API response carries provenance in its _source envelope.

AI Analytics. (2026). US Federal Regulatory Data Hub [Data set]. https://api.ai-analytics.org. CC0 1.0.

@misc{aianalytics_regulatory_2026,
  title        = {US Federal Regulatory Data Hub},
  author       = {{AI Analytics}},
  year         = {2026},
  publisher    = {AI Analytics},
  howpublished = {\url{https://api.ai-analytics.org}},
  note         = {CC0 1.0 Universal}
}

See also

• Technical deep-dive: the API design — REST, MCP, JSON-LD for 197 datasets
• Technical deep-dive: the query layer — 8-shard routing, fan-out, entity bridge, FTS5
• Technical deep-dive: entity ID normalization — resolving CIK, UEI, LEI, DUNS, and NPI across 197 datasets
• Technical deep-dive: building the hub on Cloudflare D1 — schema, ingest, vertical sharding
• Technical deep-dive: federal dataset ingest ETL — cron workers, delta detection, schema drift
• Technical deep-dive: building the cross-agency entity graph
• Technical deep-dive: compliance screening across 30+ enforcement lists
• Technical deep-dive: OFAC SDN integration — conditional GET, entity normalization, sub-second screening
• Voidly — Global Censorship Index
• Swarm SDK — Post-Quantum Drone Encryption
• All cross-vertical entities
• All 45 agencies
• Case studies (Boeing, Wells Fargo, Purdue, ExxonMobil)