# influence_network_map

One-call 'follow the money and influence' map for an organization, joined across three federal public-record streams: FEC (the org's connected political committees / PACs - its political-spending vehicles), the U.S. Senate Lobbying Disclosure Act (filings where the org is the client, the reported lobbying spend, the firms it hired, and the issue areas lobbied), and USAspending (federal contracts + grants the org RECEIVES, with award counts and top agencies). Returns a readable map of money flowing OUT to influence (lobbying + political committees) vs. money flowing IN from federal awards. Built for investigative journalism, govcon, and due-diligence research. Informational public-record synthesis, NOT a risk score (distinct from counterparty_risk_score). The FEC leg needs an api.data.gov key and is noted as skipped if unavailable; a source that fails is noted, not fatal.

Agent View of the PolicyLayer registry record for `influence_network_map`. HTML page: https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/influence-network-map

## Facts

- Tool: `influence_network_map`
- 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: 4 (1 required)
- Recommended policy verdict: Allowed

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `year` | string | no | Optional 4-digit lobbying filing year (e.g. '2024'); defaults to the most recent year with filings. |
| `state` | string | no | Optional 2-letter state to scope the FEC committee search. |
| `company` | string | no | Alias for organization. |
| `organization` | string | yes | Organization / company name (e.g. 'Lockheed Martin', 'Boeing'). |

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": "influence_network_map",
    "arguments": {
      "organization": "<organization>"
    }
  }
}
```

## Why influence_network_map is rated Low

Even though influence_network_map 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.

## Use case

AI agents call influence_network_map 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": {
    "influence_network_map": {}
  }
}
```

## 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`

---

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