# beneficial_owner_screen

One-call KYB/AML ownership-chain sanctions screen: answers the real question 'is anyone in this company's ownership chain sanctioned?', not just 'is the top-level name on a list?'. Give a company name or a 20-character LEI; the tool maps the ownership structure via GLEIF (keyless CC0 reference data) - the subject entity, its ULTIMATE parent (top of the chain), and its reported direct subsidiaries, capped at about 15 entities so a broad group stays bounded - then SCREENS each entity in that set against the local sanctions/watchlist matcher (OFAC SDN / EU / UN / BIS), the same first-party matcher company_trust_check uses. Returns the mapped ownership structure, a per-entity CLEAR / HIT result (each hit naming the matched list entry, source, and score), and an overall verdict: CLEAR (no entity matched) vs HITS-FOUND (at least one entity in the chain matched). This catches a sanctioned parent or subsidiary that screening only the counterparty name would miss - the exposure beneficial-ownership rules target. Best-effort: if GLEIF hops fail the subject is still screened; if the sanctions binding is unavailable the screen is noted as unavailable, never silently passed. Only relationships an entity self-reports to GLEIF are shown. A name match is not proof of identity and must be cleared. Informational public-record synthesis, not legal, compliance, or sanctions-clearance advice.

Agent View of the PolicyLayer registry record for `beneficial_owner_screen`. HTML page: https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/beneficial-owner-screen

## Facts

- Tool: `beneficial_owner_screen`
- Server: Livedatalink (`https://livedatalink.ai/mcp`) — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink.md
- Homepage: https://github.com/blackboxfoundry/livedatalink
- Risk category: Destructive (Critical risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server CORS policy: *
- Server rate-limited: no
- Parameters: 2
- Recommended policy verdict: Hidden

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `lei` | string | no | Optional exact 20-character LEI code to anchor the ownership chain directly (e.g. '5493006MHB84DD0ZWV18'). Overrides a name search. |
| `company` | string | no | Company / organization name (e.g. 'Alphabet Inc.', 'JPMorgan') or a 20-character LEI code. Provide this or 'lei'. |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "beneficial_owner_screen",
    "arguments": {}
  }
}
```

## Why beneficial_owner_screen is rated Critical

An AI agent that decides to call beneficial_owner_screen doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Livedatalink is gone. There is no undo for destructive operations.

## Use case

AI agents call beneficial_owner_screen to permanently remove resources in Livedatalink, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

## Recommended policy (PolicyLayer)

Verdict: **Hidden**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Livedatalink:

```json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "beneficial_owner_screen"
  ]
}
```

## Other tools on Livedatalink (279)

- `cdc_dataset_query` — Execute — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/cdc-dataset-query.md
- `clinical_site_selector` — Execute — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/clinical-site-selector.md
- `air_quality` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/air-quality.md
- `bank_health_report` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/bank-health-report.md
- `bls_indicator` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/bls-indicator.md
- `bls_series` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/bls-series.md
- `book_details` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/book-details.md
- `book_fulltext_search` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/book-fulltext-search.md
- `book_get_text` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/book-get-text.md
- `book_search` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/book-search.md
- `book_status` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/book-status.md
- `bounce_scanner` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/bounce-scanner.md
- `candlestick_signals` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/candlestick-signals.md
- `cargo_crate` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/cargo-crate.md
- `carrier_vetting_score` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/carrier-vetting-score.md
- `caselaw_case_details` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/caselaw-case-details.md
- `caselaw_citation_lookup` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/caselaw-citation-lookup.md
- `caselaw_opinion_text` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/caselaw-opinion-text.md
- `caselaw_search` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/caselaw-search.md
- `cdc_drug_overdose_deaths` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/cdc-drug-overdose-deaths.md
- `cdc_excess_deaths_covid` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/cdc-excess-deaths-covid.md
- `cdc_flu_surveillance` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/cdc-flu-surveillance.md
- `cdc_leading_causes_of_death` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/cdc-leading-causes-of-death.md
- `cdc_outbreak_reports` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/cdc-outbreak-reports.md
- `cdc_vaccination_coverage` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/cdc-vaccination-coverage.md
- `cdc_weekly_deaths_by_state` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/cdc-weekly-deaths-by-state.md
- `census_business` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/census-business.md
- `census_commute_employment` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/census-commute-employment.md
- `census_demographics` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/census-demographics.md
- `census_geography_lookup` — Read — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/census-geography-lookup.md
- …and 249 more: https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-blackboxfoundry-livedatalink · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-blackboxfoundry-livedatalink