# Company Risk Intelligence Report (`openactor/company-risk-intelligence-report`) Actor Unified company risk report from registry, sanctions, court, news, and social signals with explainable scoring. - **URL**: https://apify.com/openactor/company-risk-intelligence-report.md - **Developed by:** [OpenActor](https://apify.com/openactor) (community) - **Categories:** AI, Agents, News - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 Risk Intelligence Report Actor ### Brief Unified due diligence actor that combines registry signals, sanctions checks, court filings, public news, and public social discussion into one risk report with a mandatory AI summary. ### Who is this for - Compliance and AML/KYC teams - Investment and M&A due diligence teams - Procurement and partnership risk reviewers - Investigative and research teams ### What it gives you - Risk score (`0-100`) and risk level per entity - Pillar-level scoring (`registry`, `sanctions`, `courts`, `news`, `social`) - Structured evidence with source URLs and timestamps - AI-generated summary included in every result ### Input - `entityName` (text input) - `entityType` (`company` or `individual` dropdown) - `country` (`US` dropdown in v1) - `searchEngine` (`duckduckgo`, `bing`, or `google` dropdown) - `maxEvidenceItemsPerSource` (evidence depth dropdown) ### Output - One dataset item per entity with: - `entityName`, `entityType`, `riskScore`, `riskLevel` - `primaryCountry`, `summary` - `sourcesCount`, `evidenceCount`, `lastUpdated` - Structured report objects in run output with evidence and pillar scores ### Data Sources - Registry: SEC EDGAR (US) - Sanctions: OFAC SDN - Courts: CourtListener (public endpoints) - News: GDELT + search discovery - Social: Reddit + Hacker News (+ YouTube when key is set) ### Input example ```json { "entityName": "Acme Corporation", "entityType": "company", "country": "US", "searchEngine": "duckduckgo", "maxEvidenceItemsPerSource": 15 } ```` ### Output example ```json [ { "entityName": "Acme Corporation", "entityType": "company", "riskScore": 17.5, "riskLevel": "minimal", "primaryCountry": "US", "summary": "Acme Corporation has a minimal risk score of 17.5...", "sourcesCount": 2, "evidenceCount": 6, "lastUpdated": "2026-02-08T11:35:48.016Z" } ] ``` ### FAQ **Is AI summary optional?**\ No. AI summary is always enabled and included in each result item. **Do I need to provide API keys in the input when I use this Actor?**\ No. You only provide the screening input. The Actor handles provider credentials internally. **How do I screen multiple entities?**\ Run one entity per run from the UI for the simplest workflow. **Do I need to choose which source classes to include?**\ No. The Actor automatically runs the full risk coverage (registry, sanctions, courts, news, and social). ### Release notes - `0.6` (2026-02-08): simpler input form with fewer fields and automatic full-source coverage for easier setup. - `0.5` (2026-02-08): clearer pay-per-result billing so each output report maps to one charge unit. - `0.3` (2026-02-08): every report now includes an AI summary by default. # Actor input Schema ## `entityName` (type: `string`): Company legal name or full individual name. ## `entityType` (type: `string`): Choose whether this is a company or an individual. ## `country` (type: `string`): Current version supports US screening. ## `searchEngine` (type: `string`): Select the provider used for adverse media discovery. ## `maxEvidenceItemsPerSource` (type: `integer`): How many evidence items to keep per source class. ## Actor input object example ```json { "entityName": "Acme Corporation", "entityType": "company", "country": "US", "searchEngine": "duckduckgo", "maxEvidenceItemsPerSource": 25 } ``` # Actor output Schema ## `datasetItems` (type: `string`): Structured per-entity risk reports. ## `runConsole` (type: `string`): Run logs and diagnostics. # 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 = { "entityName": "Acme Corporation" }; // Run the Actor and wait for it to finish const run = await client.actor("openactor/company-risk-intelligence-report").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 = { "entityName": "Acme Corporation" } # Run the Actor and wait for it to finish run = client.actor("openactor/company-risk-intelligence-report").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 '{ "entityName": "Acme Corporation" }' | apify call openactor/company-risk-intelligence-report --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=openactor/company-risk-intelligence-report", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Risk Intelligence Report", "description": "Unified company risk report from registry, sanctions, court, news, and social signals with explainable scoring.", "version": "0.6", "x-build-id": "ZxkF6YYHJ8IapDGqE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/openactor~company-risk-intelligence-report/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-openactor-company-risk-intelligence-report", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/openactor~company-risk-intelligence-report/runs": { "post": { "operationId": "runs-sync-openactor-company-risk-intelligence-report", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/openactor~company-risk-intelligence-report/run-sync": { "post": { "operationId": "run-sync-openactor-company-risk-intelligence-report", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "entityName" ], "properties": { "entityName": { "title": "Entity Name", "type": "string", "description": "Company legal name or full individual name." }, "entityType": { "title": "Entity Type", "enum": [ "company", "individual" ], "type": "string", "description": "Choose whether this is a company or an individual.", "default": "company" }, "country": { "title": "Country", "enum": [ "US" ], "type": "string", "description": "Current version supports US screening.", "default": "US" }, "searchEngine": { "title": "Search Engine", "enum": [ "duckduckgo", "bing", "google" ], "type": "string", "description": "Select the provider used for adverse media discovery.", "default": "duckduckgo" }, "maxEvidenceItemsPerSource": { "title": "Evidence Depth", "minimum": 10, "maximum": 50, "type": "integer", "description": "How many evidence items to keep per source class.", "default": 25 } } }, "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 } } } } } } } } } } ```