# OFAC Sanctions Screener — Free SDN List Batch Screening API (`ntriqpro/ofac-sanctions-screener`) Actor Free OFAC sanctions screening API for AML/KYC compliance. Batch screen names and entities against US Treasury SDN list. No API key or subscription required. Essential for fintech, lending, and due diligence workflows. Pay-per-use compliance screening. - **URL**: https://apify.com/ntriqpro/ofac-sanctions-screener.md - **Developed by:** [daehwan kim](https://apify.com/ntriqpro) (community) - **Categories:** AI, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $100.00 / 1,000 charged when a sanctions screening scan is successes 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 Screen companies, individuals, and entities against the OFAC Specially Designated Nationals (SDN) list at $0.05 per query — replacing enterprise tools like World-Check ($10K–$80K/yr) for teams that need AML and sanctions compliance data on demand. ### What does Sanctions Screening Intelligence do? Sanctions Screening Intelligence downloads the live OFAC SDN list directly from the US Department of the Treasury and performs fuzzy-match screening against every entry. Each query returns a risk assessment (clear, possible match, probable match, or confirmed match) with a numeric match score, so you can tune sensitivity to your compliance threshold. The Actor parses the full SDN XML file — which covers thousands of individually sanctioned persons, companies, vessels, and aircraft across dozens of active sanctions programs — and runs your query against all entries including alternate names and aliases. Results include the matched entity's designation date, sanctions program codes, nationality, and a direct link to the Treasury's published list for audit trail purposes. Five modes cover different operational needs: single entity screening with detailed match analysis, batch screening of multiple names in one run, program-level lookup to enumerate all entities under a specific sanctions program (e.g., IRAN, CUBA, SDGT), country-level filtering to retrieve all SDN entries associated with a given country, and a summary overview dashboard with total entity counts and program statistics. #### Key features - **Live OFAC SDN data** — fetches directly from the US Treasury (treasury.gov) on every run, no stale cache - **Fuzzy name matching** — configurable match threshold (0–100) to catch name variations, transliterations, and aliases - **5 screening modes** — entity screen, batch screen, program lookup, country sanctions, and sanctions overview - **Risk assessment output** — `clear`, `possible_match`, `probable_match`, or `confirmed_match` classification with top score - **Alias and AKA matching** — SDN entries include alternate names; the actor matches against all of them - **Batch screening** — pass a comma-separated list of names and receive one result object per entity - **Program-level enumeration** — list every entity sanctioned under a specific OFAC program code - **Country filtering** — retrieve all SDN entries for a specific country (e.g., Russia, Iran, North Korea) - **Audit-ready output** — includes total entries searched, match count, data source citation, and SDN publication metadata - **No API key required** — OFAC SDN list is freely downloadable from the US Treasury ### Use cases - **Financial institutions**: Screen new customers and counterparties against OFAC SDN as part of KYC/AML onboarding workflows - **Trade compliance teams**: Verify suppliers, buyers, and freight partners before executing cross-border transactions - **Legal and consulting firms**: Run sanctions checks on clients and adverse parties as part of due diligence engagements - **Fintech and payments companies**: Integrate automated SDN screening into payment approval pipelines via the Apify API - **HR and hiring teams**: Screen executive candidates against global sanctions lists before senior appointments - **Real estate and investment firms**: Check beneficial owners and deal counterparties for sanctions exposure ### How to use Sanctions Screening Intelligence 1. **Configure input** — Select a screening mode, then provide a query name for entity screen, a comma-separated list for batch screen, a program code (e.g., `IRAN`, `CUBA`, `SDGT`) for program lookup, or a country name for country sanctions mode. Set the match threshold (default 70) to control sensitivity. 2. **Run the Actor** — Click "Start" in Apify Console or call via the Apify API 3. **Get structured results** — Output is pushed to the Apify dataset as structured JSON ### Input parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `mode` | string | Yes | `entity_screen` | Screening mode: `entity_screen`, `batch_screen`, `program_lookup`, `country_sanctions`, or `sanctions_overview` | | `query` | string | No | `Banco Nacional De Cuba` | Entity name to screen in `entity_screen` mode | | `names` | string | No | — | Comma-separated list of names for `batch_screen` mode | | `program` | string | No | — | OFAC program code for `program_lookup` mode (e.g., `IRAN`, `UKRAINE-EO13662`, `SDGT`) | | `country` | string | No | — | Country name for `country_sanctions` mode (e.g., `Iran`, `Russia`, `Cuba`) | | `matchThreshold` | integer | No | `70` | Minimum match score (0–100). Lower = more results, higher = fewer false positives | | `limit` | integer | No | `50` | Maximum number of results to return (1–500) | ### Output example ```json { "mode": "entity_screen", "query": "Banco Nacional De Cuba", "sdnMetadata": { "publishDate": "2026-03-20", "totalEntries": 12847 }, "totalEntriesSearched": 12847, "matchCount": 3, "riskAssessment": { "riskLevel": "confirmed_match", "topScore": 98, "recommendation": "CONFIRMED MATCH — Entity found on OFAC SDN list. Do not proceed." }, "matches": [ { "name": "BANCO NACIONAL DE CUBA", "type": "Entity", "program": ["CUBA"], "nationality": "Cuba", "designationDate": "1963-07-08", "matchScore": 98, "matchedOn": "primary_name", "sdnId": "10001", "remarks": "Cuba; Gender Male" }, { "name": "BANCO NACIONAL DE CUBA", "type": "Entity", "program": ["CUBA"], "nationality": "Cuba", "matchScore": 92, "matchedOn": "aka_name" } ], "dataSources": ["OFAC SDN List — US Department of the Treasury"], "timestamp": "2026-03-21T10:00:00.000Z" } ```` ### Pricing Each successful screening run costs **$0.05** under Apify's pay-per-event model. You only pay when results are successfully delivered. Failed runs are not charged. [Learn more about pay-per-event pricing](https://docs.apify.com/platform/actors/running/pay-per-event). Batch screening multiple names in one run counts as a single event. 1,000 screening operations cost $50, compared to World-Check at $10,000–$80,000 per year. ### API and integrations Call this Actor via the [Apify API](https://docs.apify.com/api/v2) to embed sanctions screening into your onboarding flows, schedule nightly re-screens of your customer database, or connect results to Slack for compliance team alerts. Results are available as JSON, CSV, or Excel from the Apify dataset. ### Limitations - This Actor screens against the OFAC SDN list only. It does not cover the EU Consolidated Sanctions List, UN Security Council List, or other national sanctions regimes. - Fuzzy matching reduces false negatives from name variations but cannot guarantee detection of all sanctioned entity aliases, particularly in non-Latin scripts. - The OFAC SDN file is large; each run downloads the full list. Expect run times of 30–90 seconds depending on Apify infrastructure load. # Actor input Schema ## `mode` (type: `string`): Select the type of sanctions screening to perform ## `query` (type: `string`): Name or entity to screen against OFAC sanctions lists (used in entity\_screen mode). ## `names` (type: `string`): Comma-separated list of names to screen in batch mode (e.g., 'Company A, Person B, Entity C'). ## `program` (type: `string`): Sanctions program code to filter by (e.g., 'IRAN', 'UKRAINE-EO13662', 'SDGT', 'CUBA'). Used in program\_lookup mode. ## `country` (type: `string`): Country name to filter sanctioned entities by (e.g., 'Iran', 'Russia', 'Cuba', 'North Korea'). Used in country\_sanctions mode. ## `matchThreshold` (type: `integer`): Minimum match score (0-100) to include in results. Lower = more results, higher = stricter matching. Default: 70. ## `limit` (type: `integer`): Maximum number of results to return. ## Actor input object example ```json { "mode": "entity_screen", "query": "Banco Nacional De Cuba", "matchThreshold": 70, "limit": 50 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("ntriqpro/ofac-sanctions-screener").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 = {} # Run the Actor and wait for it to finish run = client.actor("ntriqpro/ofac-sanctions-screener").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 '{}' | apify call ntriqpro/ofac-sanctions-screener --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ntriqpro/ofac-sanctions-screener", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "OFAC Sanctions Screener — Free SDN List Batch Screening API", "description": "Free OFAC sanctions screening API for AML/KYC compliance. Batch screen names and entities against US Treasury SDN list. No API key or subscription required. Essential for fintech, lending, and due diligence workflows. Pay-per-use compliance screening.", "version": "1.0", "x-build-id": "nNab4tkHKuXcBw2Q2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ntriqpro~ofac-sanctions-screener/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ntriqpro-ofac-sanctions-screener", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ntriqpro~ofac-sanctions-screener/runs": { "post": { "operationId": "runs-sync-ntriqpro-ofac-sanctions-screener", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ntriqpro~ofac-sanctions-screener/run-sync": { "post": { "operationId": "run-sync-ntriqpro-ofac-sanctions-screener", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Screening Mode", "enum": [ "entity_screen", "batch_screen", "program_lookup", "country_sanctions", "sanctions_overview" ], "type": "string", "description": "Select the type of sanctions screening to perform", "default": "entity_screen" }, "query": { "title": "Entity Name / Query", "type": "string", "description": "Name or entity to screen against OFAC sanctions lists (used in entity_screen mode).", "default": "Banco Nacional De Cuba" }, "names": { "title": "Names (Batch)", "type": "string", "description": "Comma-separated list of names to screen in batch mode (e.g., 'Company A, Person B, Entity C')." }, "program": { "title": "Sanctions Program", "type": "string", "description": "Sanctions program code to filter by (e.g., 'IRAN', 'UKRAINE-EO13662', 'SDGT', 'CUBA'). Used in program_lookup mode." }, "country": { "title": "Country", "type": "string", "description": "Country name to filter sanctioned entities by (e.g., 'Iran', 'Russia', 'Cuba', 'North Korea'). Used in country_sanctions mode." }, "matchThreshold": { "title": "Match Threshold (%)", "minimum": 0, "maximum": 100, "type": "integer", "description": "Minimum match score (0-100) to include in results. Lower = more results, higher = stricter matching. Default: 70.", "default": 70 }, "limit": { "title": "Result Limit", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of results to return.", "default": 50 } } }, "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 } } } } } } } } } } ```