# Company Intelligence MCP — AI Agent Due Diligence (`red.cars/company-intelligence-mcp`) Actor Domain enrichment, sanctions screening, and beneficial ownership lookup. One tool call for AI agent company research. - **URL**: https://apify.com/red.cars/company-intelligence-mcp.md - **Developed by:** [AutomateLab](https://apify.com/red.cars) (community) - **Categories:** Developer tools, Business - **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Company Intelligence MCP Server > Enrich any company, screen for sanctions, and trace beneficial ownership — for AI agents. **[View on Apify](https://apify.com/red.cars/company-intelligence-mcp)** | **[MCP Endpoint](https://company-intelligence-mcp.apify.actor/mcp)** --- ### What It Does Give AI agents the ability to do company due diligence in three clicks — no API keys, no manual research. - **Company enrichment** from domain → SEC EDGAR filings, WHOIS, officer names, estimated headcount - **Sanctions screening** against OFAC SDN, OpenSanctions, and Interpol Red Notices - **Beneficial ownership** tracing through international corporate registries --- ### Quick Start Add to your AI agent: ```json { "mcpServers": { "company-intelligence-mcp": { "url": "https://company-intelligence-mcp.apify.actor/mcp" } } } ```` *** ### Tools | Tool | Price | Description | |------|-------|-------------| | `company_enrich` | $0.05 | Enrich company from domain — SEC EDGAR, WHOIS, officers | | `sanctions_screen` | $0.10 | Screen entity against OFAC SDN, OpenSanctions, Interpol | | `beneficial_ownership` | $0.15 | Trace beneficial ownership chain through corporate registries | #### company\_enrich **When to call:** AI agent doing B2B sales research, investment due diligence, or partnership screening. **Example AI prompt:** "Enrich apple.com — what can you tell me about Apple's corporate structure and recent SEC filings?" #### sanctions\_screen **When to call:** AI agent doing AML/KYC compliance, vendor vetting, or M\&A due diligence. **Example AI prompt:** "Screen 'Huawei Technologies Co Ltd' for sanctions — check OFAC SDN, OpenSanctions, and Interpol." #### beneficial\_ownership **When to call:** AI agent investigating corporate structures for M\&A, compliance, or investment. **Example AI prompt:** "Trace the beneficial ownership chain for Tesla Inc — who actually controls it?" *** ### Data Sources | Source | Coverage | What's Available | |--------|----------|-----------------| | SEC EDGAR | US companies | Filings, company info, officer names | | WHOIS | Global | Domain registration, registrar, dates | | OpenSanctions | Global | SDN, sectoral lists, EU/UN sanctions | | Interpol | Global | Red Notices (public) | | OpenCorporates | 140+ countries | Corporate registry data | *** ### Pricing | Tool | Per Call | |------|----------| | `company_enrich` | $0.05 | | `sanctions_screen` | $0.10 | | `beneficial_ownership` | $0.15 | No subscription. Pay per use via Apify PPE. No API keys required. *** ### Example Calls #### Enrich a company ``` company_enrich(domain="stripe.com") ``` Returns: ```json { "domain": "stripe.com", "company_name": "Stripe, Inc.", "sic_code": "7372", "sic_description": "Prepackaged Software", "state_of_incorporation": "Delaware", "officers": ["Patrick Collison", "John Collison"], "filings_count": 47, "recent_10k": "2024-02-15", "source": "SEC EDGAR + WHOIS" } ``` #### Screen for sanctions ``` sanctions_screen(entity="Huawei Technologies Co Ltd", type="company") ``` Returns: ```json { "entity": "Huawei Technologies Co Ltd", "is_sanctioned": true, "lists": ["OFAC SDN", "BIS Entity List"], "match_confidence": "high", "sources": ["OFAC", "OpenSanctions"], "risk_level": "CRITICAL" } ``` #### Trace beneficial ownership ``` beneficial_ownership(company_name="Apple Inc.", country="US") ``` Returns: ```json { "company_name": "Apple Inc.", "country": "US", "ultimate_beneficial_owner": "Tim Cook (CEO, major shareholder)", "ownership_chain": ["Apple Inc.", "Board of Directors", "Major Institutional Holders"], "source": "OpenCorporates + SEC filings" } ``` *** ### How It Compares to Alternatives | Aspect | Company Intelligence MCP | ZoomInfo | Apollo.io | |--------|--------------------------|----------|-----------| | Price | $0.05–0.15/call | $99/mo+ | $49/mo+ | | API for AI agents | MCP (native) | REST (complex) | REST (complex) | | Sanctions screening | OFAC, OpenSanctions, Interpol | No | No | | Beneficial ownership | Yes | Limited | No | | No account needed | ✅ | ❌ | ❌ | *** ### Connect to AI Agents #### Claude Desktop / Cursor / Windsurf ```json { "mcpServers": { "company-intelligence-mcp": { "url": "https://company-intelligence-mcp.apify.actor/mcp" } } } ``` *** ### SEO Keywords company enrichment API, sanctions screening API, OFAC SDN check, beneficial ownership lookup, AI agent company research, KYC automation, AML screening, M\&A due diligence, corporate registry API, SEC EDGAR API, WHOIS lookup, OpenSanctions API, OpenCorporates, AI agent compliance # Actor input Schema ## `tool` (type: `string`): MCP tool to call ## `params` (type: `object`): Tool parameters as JSON object ## Actor input object example ```json { "tool": "company_enrich", "params": { "domain": "example.com" } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "tool": "company_enrich", "params": { "domain": "example.com" } }; // Run the Actor and wait for it to finish const run = await client.actor("red.cars/company-intelligence-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "tool": "company_enrich", "params": { "domain": "example.com" }, } # Run the Actor and wait for it to finish run = client.actor("red.cars/company-intelligence-mcp").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "tool": "company_enrich", "params": { "domain": "example.com" } }' | apify call red.cars/company-intelligence-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=red.cars/company-intelligence-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Intelligence MCP — AI Agent Due Diligence", "description": "Domain enrichment, sanctions screening, and beneficial ownership lookup. One tool call for AI agent company research.", "version": "1.0", "x-build-id": "hfbEIqLiguLnXJ0tL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/red.cars~company-intelligence-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-red.cars-company-intelligence-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/red.cars~company-intelligence-mcp/runs": { "post": { "operationId": "runs-sync-red.cars-company-intelligence-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/red.cars~company-intelligence-mcp/run-sync": { "post": { "operationId": "run-sync-red.cars-company-intelligence-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "tool": { "title": "Tool Name", "enum": [ "company_enrich", "sanctions_screen", "beneficial_ownership" ], "type": "string", "description": "MCP tool to call" }, "params": { "title": "Parameters (JSON)", "type": "object", "description": "Tool parameters as JSON object" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```