# AI Analytics > Cross-vertical US regulatory and public-data hub for AI agents. Sources include federal agencies, self-regulatory organizations such as FINRA, and third parties such as CourtListener and OpenSanctions. **229 datasets, 58.5M indexed rows, 73 MCP tools, one unified KYC screen.** Each response identifies its primary source and source-specific terms; free or keyless access does not alter those terms. ## Start here - [FAQ](https://api.ai-analytics.org/faq) — 21 answers covering OFAC checks, healthcare exclusions, CVE lookups, FDA recalls, court cases, NHTSA recalls, entity monitoring, MCP usage, citation/licensing. Each answer routes to a concrete endpoint. - [How-to guides](https://api.ai-analytics.org/how-to) — step-by-step workflows with schema.org/HowTo markup: [KYC-screen a vendor](https://api.ai-analytics.org/how-to/kyc), [monitor a portfolio for regulatory risk](https://api.ai-analytics.org/how-to/monitor-portfolio). - [Datasets catalog](https://api.ai-analytics.org/datasets/) — every dataset with primary-source URL + Schema.org Dataset JSON-LD - [MCP server](https://api.ai-analytics.org/mcp) — Streamable HTTP, 73 tools, no auth - [MCP server card](https://api.ai-analytics.org/.well-known/mcp/server-card.json) — SEP-1649 capabilities manifest - [OpenAPI 3.1 spec](https://api.ai-analytics.org/openapi.json) — every endpoint - [DataCatalog JSON-LD](https://api.ai-analytics.org/.well-known/dataset.json) — full schema.org/DataCatalog blob ## The killer endpoint - [Unified compliance screen](https://api.ai-analytics.org/api/v1/screening/all?name=Wells+Fargo) — one call, 11 datasets, 0-100 risk score. OFAC + **UFLPA (Xinjiang forced labor)** + **CSL (BIS Entity List + Denied Persons + ITAR Debarred + 9 more)** + SAM + OIG + DOJ + CFPB + courts + Fed enforcement + NHTSA + CISA. Accepts `?name=`, `?ticker=PFE`, `?cik=`, `?uei=`, or `?npi=` (NPI hits OIG-exclusion table directly). - [Trade.gov Consolidated Screening List](https://api.ai-analytics.org/api/v1/trade-screening/check?name=Huawei) — 25,660 entities across 12 federal export-control + sanctions lists merged. Per-entity canonical page at /export-control/{entity_number}. - [DHS UFLPA Entity List](https://api.ai-analytics.org/api/v1/forced-labor/check?name=Aksu) — 160 Chinese entities whose goods are presumed forced labor and banned from US import under 19 U.S.C. § 1307. Per-entity page at /forced-labor/{id}. Federal data ESG vendors charge $50k+/yr for. ## What happened today - [Today's regulatory digest (HTML)](https://api.ai-analytics.org/today) — on-request cross-vertical snapshot bounded by UTC source event dates. Source freshness varies; check [/api/v1/freshness](https://api.ai-analytics.org/api/v1/freshness) before treating an empty section as proof of no event. - [Today digest (Markdown)](https://api.ai-analytics.org/today.md) — same content, paste-into-chat friendly - [Today digest (JSON)](https://api.ai-analytics.org/today.json) — same content for programmatic access ## Per-entity cross-vertical timelines - [Entity timeline (HTML)](https://api.ai-analytics.org/entity/BSX) — Boston Scientific across SEC + FDA + courts + clinical trials - [Entity timeline (JSON)](https://api.ai-analytics.org/api/v1/entity/BSX/timeline) — same as JSON-LD - [Material events filter](https://api.ai-analytics.org/api/v1/entity/BSX/material-events) — importance ≥ 60 - [Cross-vertical discovery](https://api.ai-analytics.org/api/v1/cross-vertical/active) — entities active in 2+ regulators ## Per-record canonical URLs Each high-signal record has its own page with HTML + .md + JSON-LD via content negotiation or extension. Use these when an AI assistant needs the canonical, structured answer about a single CVE / recall / court case / DOJ release. All set `Link: ; rel="canonical"`. - [Example CVE page](https://api.ai-analytics.org/cve/CVE-2024-21413) — combines CISA KEV + NIST NVD (`/cve/{cve_id}`, also `.md`, `.json`) - [Example FDA recall](https://api.ai-analytics.org/recall/H-0569-2026) — recall detail (`/recall/{recall_number}`, also `.md`, `.json`) - [Example court case](https://api.ai-analytics.org/case/73346866) — docket detail (`/case/{docket_id}`, also `.md`, `.json`) - [Example DOJ release](https://api.ai-analytics.org/doj-release/0087cdae-003f-42e9-bb09-27eecfdb708a) — press release detail (`/doj-release/{uuid}`, also `.md`, `.json`) - [Example OFAC sanction](https://api.ai-analytics.org/sanction/2147394534) — SDN entity with full alias list (`/sanction/{uid}`, also `.md`, `.json`) - [Example clinical trial](https://api.ai-analytics.org/clinical/NCT04210115) — ClinicalTrials.gov study (`/clinical/{nct_id}`, also `.md`, `.json`) - [Example NHTSA recall](https://api.ai-analytics.org/nhtsa-recall/23V295000) — vehicle recall (`/nhtsa-recall/{campaign_number}`, also `.md`, `.json`) - [Example OIG exclusion](https://api.ai-analytics.org/oig-exclusion/23402) — healthcare provider excluded from federal programs (`/oig-exclusion/{internal_id}`, also `.md`, `.json`) - [Example SAM debarment](https://api.ai-analytics.org/sam-debarment/NK-223CQDBzp8MRkdJMDiqXn3) — federal contractor debarment (`/sam-debarment/{ext_id}`, also `.md`, `.json`) - [Example Fed enforcement](https://api.ai-analytics.org/fed-enforcement/NK-26g6xCLbXCDpXnLw5YQaQ6) — banking enforcement action (`/fed-enforcement/{action_id}`, also `.md`, `.json`) Append `.md` for clean Markdown, `.json` for schema.org/TechArticle | NewsArticle | Legislation | MedicalStudy | Person/Organization JSON-LD. ~240,000 canonical per-record URLs total, all discoverable via [sitemap.xml](https://api.ai-analytics.org/sitemap.xml). ## Dataset landing pages - [SEC EDGAR filings](https://api.ai-analytics.org/datasets/sec-filings) - [FDA recalls](https://api.ai-analytics.org/datasets/fda-recalls) - [FDA drug labels](https://api.ai-analytics.org/datasets/fda-drug-labels) - [OFAC sanctions](https://api.ai-analytics.org/datasets/ofac-sanctions) — 19,680 entities + 30,478 aliases - [Federal courts (CourtListener)](https://api.ai-analytics.org/datasets/federal-courts) - [CFPB consumer complaints](https://api.ai-analytics.org/datasets/cfpb-complaints) — 52k+ records - [Federal Reserve enforcement](https://api.ai-analytics.org/datasets/fed-enforcement) - [NHTSA vehicle recalls](https://api.ai-analytics.org/datasets/nhtsa-recalls) - [DOJ press releases](https://api.ai-analytics.org/datasets/doj-press) - [SAM federal-contractor debarments](https://api.ai-analytics.org/datasets/sam-debarments) — 106,669 records - [HHS OIG healthcare exclusions](https://api.ai-analytics.org/datasets/hhs-oig-exclusions) — 83,256 records - [CISA Known Exploited Vulnerabilities](https://api.ai-analytics.org/datasets/cisa-kev) — 1,592 CVEs - [NIST NVD CVE database](https://api.ai-analytics.org/datasets/nist-nvd) - [NIH grants (RePORTER)](https://api.ai-analytics.org/datasets/nih-grants) - [NSF Awards](https://api.ai-analytics.org/datasets/nsf-awards) - [Grants.gov opportunities](https://api.ai-analytics.org/datasets/grants-gov) - [ClinicalTrials.gov](https://api.ai-analytics.org/datasets/clinical-trials) - [Senate Lobbying Disclosure](https://api.ai-analytics.org/datasets/lobbying) - [EPA-regulated facilities (ECHO)](https://api.ai-analytics.org/datasets/epa-facilities) - [USPTO patents](https://api.ai-analytics.org/datasets/uspto-patents) - [Federal contracts (USAspending)](https://api.ai-analytics.org/datasets/fed-contracts) - [Federal Register documents](https://api.ai-analytics.org/datasets/federal-register) - [FDA adverse events (FAERS)](https://api.ai-analytics.org/datasets/fda-adverse-events) ## Citation Every JSON response includes a `_source` envelope: ``` "_source": { "data_provider": "AI Analytics", "data_provider_url": "https://api.ai-analytics.org", "license": "https://api.ai-analytics.org/license", "terms_of_use": "{source-specific terms URL, when applicable}", "generated_at": "2026-05-15T20:55:00Z", "primary_source": "https://sanctionslistservice.ofac.treas.gov/" } ``` Cite as: **AI Analytics, retrieved {generated_at} from {endpoint}; primary source: {primary_source}; source terms: {license or terms_of_use}**. Single-record endpoints set `Link: ; rel="canonical"` so AI crawlers can traverse to the underlying agency source. ## License - One blanket license does not apply to every source. See the [source-aware license policy](https://api.ai-analytics.org/license). - Works authored by US federal employees as part of official duties are generally public domain under 17 USC §105; that does not automatically cover every item on a federal site. - Non-federal, SRO, and third-party material retains its source terms. AI Analytics-authored metadata and normalization are CC0 only where expressly stated. - No paywall or API key is required, but access conditions do not change source terms. ## Operated by Nexcom Media — https://nexcom.media · Contact: info@ai-analytics.org