# counterparty_risk_score

Compute a composite 0-100 Counterparty Risk Score for a company name. Combines findings from sanctions screening (OFAC/UN/EU/BIS), SEC EDGAR (registered-filer signal), federal courts (litigation history), EPA ECHO (environmental enforcement), and USAspending (federal contract vetting) into a single weighted metric with an explainable evidence chain. Returns: score, risk band (clean/low/moderate/elevated/high/critical), itemized evidence with citations, sources queried, sources that failed, and a plain-text summary suitable for an AI agent to surface to a user. Sanctions hits zero the score regardless of other signals. Use this when you need a single-call counterparty risk verdict instead of stitching five separate queries.

Agent View of the PolicyLayer registry record for `counterparty_risk_score`. HTML page: https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/counterparty-risk-score

## Facts

- Tool: `counterparty_risk_score`
- Server: Livedatalink (`https://livedatalink.ai/mcp`) — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink.md
- Homepage: https://github.com/blackboxfoundry/livedatalink
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server CORS policy: *
- Server rate-limited: no
- Parameters: 1 (1 required)
- Recommended policy verdict: Allowed

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `company_name` | string | yes | Company or entity name to score. Examples: 'Lockheed Martin', 'Acme Holdings BV', 'Pfizer Inc'. Common suffixes (Inc/LLC/Ltd/Corp) are normalized automatically. |

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": "counterparty_risk_score",
    "arguments": {
      "company_name": "<company_name>"
    }
  }
}
```

## Why counterparty_risk_score is rated Low

This tool retrieves and queries data from multiple external sources (sanctions lists, regulatory filings, court records, environmental databases, federal spending records) and synthesizes them into a risk assessment. No write, execute, destructive, or financial operations are performed. The tool does not modify data, execute code on behalf of the user, delete anything, or move money.

From the tool's own definition: "Tool description states it 'Compute[s] a composite 0-100 Counterparty Risk Score' by querying and aggregating data from sanctions databases (OFAC/UN/EU/BIS), SEC EDGAR, federal courts, EPA ECHO, and USAspending."

## Use case

AI agents call counterparty_risk_score to retrieve information from Livedatalink without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

## Recommended policy (PolicyLayer)

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

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "counterparty_risk_score": {}
  }
}
```

## Other tools on Livedatalink (279)

- `beneficial_owner_screen` — Destructive — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/beneficial-owner-screen.md
- `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
- …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`

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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
