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 sing...
This record as markdown: /tools/io-github-blackboxfoundry-livedatalink/counterparty-risk-score.md
What counterparty_risk_score does on Livedatalink
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.
| 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.
Why counterparty_risk_score is rated Low
Even though counterparty_risk_score only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs counterparty_risk_score safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Livedatalink, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For counterparty_risk_score, this is the rule to start with:
counterparty_risk_score is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Livedatalink, apply this rule, and every counterparty_risk_score call is checked against it from then on.
Questions about 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. It is categorised as a Read tool in the Livedatalink MCP Server, which means it retrieves data without modifying state.
counterparty_risk_score accepts 1 parameter: company_name. Required: company_name. The full parameter table on this page comes from the server's own tool schema.
Register the Livedatalink MCP server in PolicyLayer and add a rule for counterparty_risk_score: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Livedatalink. Nothing to install.
counterparty_risk_score is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the counterparty_risk_score rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for counterparty_risk_score. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
counterparty_risk_score is provided by the Livedatalink MCP server (https://livedatalink.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Livedatalink, and thousands of servers like it.
This server
Across the catalogue