# GLEIF LEI & Sanctions Screener (OFAC/EU/UN/UK) (`gp005/gleif-sanctions-screener`) Actor Screen companies by LEI or name via GLEIF API; cross-check OFAC, EU, UN, and UK sanctions lists. Returns enriched entity data with match hits and risk flags — no login, no paywall. - **URL**: https://apify.com/gp005/gleif-sanctions-screener.md - **Developed by:** [Geo](https://apify.com/gp005) (community) - **Categories:** Developer tools, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $35.00 / 1,000 entity screeneds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## GLEIF LEI & Sanctions Screener (OFAC/EU/UN/UK) Screen any company or legal entity against **four official government sanctions lists** (US OFAC, EU Consolidated, UN Consolidated, UK FCDO) and enrich the result with **verified LEI data from GLEIF** — the global legal entity identifier registry. Built for KYB, AML, trade-compliance, and counterparty-risk workflows. ### What is this Actor? GLEIF LEI & Sanctions Screener resolves a company name or LEI code via the [GLEIF API](https://www.gleif.org/en/about-lei/common-data-file-format/gleif-and-concatenated-file-format-download) to get verified legal name, jurisdiction, registration status, and parent/ultimate-parent LEI, then cross-checks those names against: - **OFAC SDN** (US Treasury Specially Designated Nationals) - **EU Consolidated List** (all EU sanctions regimes) - **UN Consolidated List** (UN Security Council resolutions) - **UK FCDO Sanctions List** (post-Brexit unified list) All four lists are official government-published, openly licensed data with no login or paywall required. ### Use cases - **KYB / onboarding**: flag sanctioned counterparties before you engage them - **AML batch screening**: run your entire customer book against all four lists in one call - **Trade-compliance checks**: verify suppliers, distributors, and buyers against US + UK + EU + UN lists simultaneously - **M&A / due diligence**: check acquisition targets and their parent chains - **Automated monitoring**: schedule recurring runs for continuous watchlist monitoring ### What data is returned? | Field | Description | |---|---| | `lei` | 20-char ISO 17442 LEI code | | `legalName` | Verified legal name from GLEIF | | `jurisdiction` | Country/region of registration | | `entityStatus` | GLEIF entity status (ACTIVE, INACTIVE, …) | | `leiStatus` | LEI registration status (ISSUED, LAPSED, …) | | `registeredAddress` | Full registered address | | `parentLei` | Direct parent LEI (if available) | | `ultimateParentLei` | Ultimate parent LEI (if available) | | `sanctionsHit` | `true` if any list match found | | `hitCount` | Total number of name matches | | `hitList` | Which lists triggered (e.g. `["OFAC","EU"]`) | | `hits` | Per-hit detail: list, matched name, similarity score | | `checkedLists` | All lists that were checked | | `gleifStatus` | `found` / `not_found` / `skipped` | ### How to use #### Input Provide one or more of these inputs: ```json { "entities": [ {"name": "Gazprom", "country": "RU"}, {"lei": "HWUPKR0MPOU8FGXBT394"} ], "sanctionsLists": ["OFAC", "EU", "UN", "UK"], "fuzzyThreshold": 0.7, "gleifEnrich": true } ```` - **`entities`**: array of `{name, lei, country}` objects or plain strings. LEI codes (20-char alphanumeric) are detected automatically. - **`leis`**: flat array of LEI codes (alternative to `entities`) - **`names`**: flat array of company names (alternative to `entities`) - **`sanctionsLists`**: choose any subset of `["OFAC","EU","UN","UK"]` (default: all four) - **`fuzzyThreshold`**: 0.0–1.0 trigram similarity cutoff (default 0.7 — a good balance; lower = more recall, higher = fewer false positives) - **`gleifEnrich`**: set `false` to skip GLEIF lookup and screen only by input name (faster, lower cost) - **`maxTotalChargeUsd`**: hard USD cap — the actor stops gracefully when the budget is reached #### Output example ```json { "inputName": "Gazprom", "lei": "2534001DBBFAD6QDFA72", "legalName": "Public Joint Stock Company Gazprom", "jurisdiction": "RU", "entityStatus": "ACTIVE", "leiStatus": "ISSUED", "registeredAddress": "Saint-Petersburg, Russian Federation", "sanctionsHit": true, "hitCount": 3, "hitList": ["OFAC", "EU"], "hits": [ {"list": "OFAC", "matchedName": "GAZPROM", "score": 0.91}, {"list": "EU", "matchedName": "Public Joint Stock Company Gazprom", "score": 0.94} ], "checkedLists": ["OFAC", "EU", "UN", "UK"], "gleifStatus": "found", "timestamp": "2026-07-09T10:00:00.000Z" } ``` ### Pricing This Actor uses pay-per-event billing — you only pay for what runs: | Event | Price | When charged | |---|---|---| | `actor-start` | $0.01 | Once per run | | `entity-screened` | $0.05 | Per entity (with GLEIF enrichment, multi-list check) | **Example cost math:** - 10 entities, all 4 lists, GLEIF on: $0.01 + 10 × $0.05 = **$0.51** - 100 entities, GLEIF off: $0.01 + 100 × $0.05 = **$5.01** - Platform compute for a 100-entity run: ~0.01–0.02 compute units (~$0.001–0.002) — well under 30% of event revenue Set `maxTotalChargeUsd` to cap spend for large batches. ### Limitations - **Name matching is fuzzy, not authoritative.** The trigram similarity algorithm catches common transliteration variants and abbreviations but is not a certified sanctions-screening system. High-stakes compliance decisions must be reviewed by a compliance officer. - **GLEIF name matching**: GLEIF's API search uses exact/prefix matching; very short or non-Latin names may not resolve. Supply the LEI directly for guaranteed lookup. - **Sanctions list freshness**: lists are fetched live on each run. OFAC/EU/UN/UK update on varying schedules (OFAC typically daily). For critical workflows, schedule frequent runs. - **No OpenSanctions**: this Actor intentionally omits OpenSanctions — its commercial-use terms require a paid license. Use the official government sources directly (included here) for free commercial use. - **UK list structure**: the UK FCDO XML schema changed in January 2026 (OFSI list retired). This Actor uses the current FCDO consolidated XML at gov.uk. - **Personal data in lists**: sanctions lists contain individual names and identifiers. Your use of this data must have a valid legal basis (AML/KYB compliance is a recognized lawful purpose). Do not use output to build personal profiles unrelated to compliance screening. ### Integrations - **API**: run via [Apify REST API](https://docs.apify.com/api/v2) — POST to `/acts/gp005~gleif-sanctions-screener/runs` - **Scheduling**: set up daily/weekly runs in Apify Console for continuous monitoring - **Webhooks**: trigger downstream alerts on `SUCCEEDED` runs with hits - **Make / n8n**: connect via Apify integrations to your existing KYB or CRM workflow - **MCP**: load via the [Apify MCP server](https://apify.com/apify/actors-mcp-server) for LLM-driven compliance workflows ### Other Actors in the FORGE fleet - [EDGAR Company Filings & XBRL Fundamentals Extractor](https://apify.com/gp005/edgar-xbrl-fundamentals) — SEC financial data - [Email Deliverability & Domain Posture Auditor](https://apify.com/gp005/email-deliverability-auditor) — MX/SPF/DKIM/DMARC checks - [SSL/TLS Certificate Expiry Monitor](https://apify.com/gp005/tls-cert-monitor) — bulk certificate monitoring ### FAQ #### Is this a certified AML/sanctions screening system? No. This Actor uses fuzzy name matching against official government XML feeds as a first-pass filter. It is not a certified AML system. Always have a compliance officer review hits before acting on them. #### Can I use this commercially? Yes. All four sanctions lists (OFAC, EU, UN, UK FCDO) are official government-published data with permissive or public-domain licensing. The GLEIF API is CC0 (public domain). There is no OpenSanctions data, which requires a commercial license. #### How often should I run this? For onboarding, run once per new counterparty. For ongoing monitoring, schedule daily or weekly runs on your active portfolio. OFAC updates their SDN list frequently — sometimes multiple times per day during active sanctions events. #### What's the false positive rate? At the default threshold of 0.7, you will see occasional false positives on common words (e.g., searching "China National" may match various Chinese state entities). Increase `fuzzyThreshold` to 0.85+ to reduce noise, or review hits manually. The `score` field tells you how close the match is. #### Can I supply LEI codes directly? Yes — include them in `entities` as `{"lei": "HWUPKR0MPOU8FGXBT394"}` or in the `leis` array. Direct LEI lookups bypass the name search step and are more reliable. #### How do I get support? Open a GitHub issue or contact us via the Apify Issues tab. Custom integrations and bulk-screening solutions available on request. # Actor input Schema ## `entities` (type: `string`): JSON array of entities to screen. Each item can be a string (company name or 20-char LEI) or an object with {name, lei, country}. Example: \[{"name":"Gazprom","country":"RU"},{"lei":"HWUPKR0MPOU8FGXBT394"}] ## `leis` (type: `array`): Flat list of 20-character ISO 17442 LEI codes to look up. Alternative to 'entities'. Example: \["HWUPKR0MPOU8FGXBT394"] ## `names` (type: `array`): Flat list of company names to screen. Alternative to 'entities'. Example: \["Gazprom","Rosneft"] ## `sanctionsLists` (type: `array`): Which official government sanctions lists to screen against. Default: all four (OFAC = US Treasury SDN, EU = EU Consolidated List, UN = UN Security Council Consolidated List, UK = UK FCDO Sanctions List). ## `gleifEnrich` (type: `boolean`): When true (default), each entity is looked up in the GLEIF LEI registry to get verified legal name, jurisdiction, registration status, and parent/ultimate-parent LEI before sanctions screening. Set false to skip GLEIF and screen only by input name (faster, lower cost). ## `fuzzyThreshold` (type: `number`): Trigram similarity threshold (0.0–1.0) for name matching against sanctions lists. Default 0.7 balances recall vs false positives. Increase to 0.85+ for strict matching; decrease below 0.6 for broader recall. ## `maxResultsPerEntity` (type: `integer`): Maximum number of GLEIF name-search matches to return per entity (applies when looking up by name, not LEI). Higher values = more thorough check but more entity-screened charges. Range: 1–20. ## `maxTotalChargeUsd` (type: `number`): Hard spending cap in USD. The actor stops gracefully when this limit is reached, ensuring you never spend more than intended on large batches. Example: 5.00 caps a run at $5. ## Actor input object example ```json { "entities": "[{\"name\":\"Gazprom\",\"country\":\"RU\"},{\"lei\":\"HWUPKR0MPOU8FGXBT394\"}]", "leis": [ "HWUPKR0MPOU8FGXBT394" ], "names": [ "Gazprom", "Rosneft" ], "sanctionsLists": [ "OFAC", "EU", "UN", "UK" ], "gleifEnrich": true, "fuzzyThreshold": 0.7, "maxResultsPerEntity": 3, "maxTotalChargeUsd": 5 } ``` # Actor output Schema ## `dataset` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "entities": "[{\"name\":\"Gazprom\",\"country\":\"RU\"},{\"name\":\"Sberbank\"}]", "names": [ "Gazprom", "Sberbank" ], "sanctionsLists": [ "OFAC", "EU", "UN", "UK" ], "gleifEnrich": true, "fuzzyThreshold": 0.7, "maxResultsPerEntity": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("gp005/gleif-sanctions-screener").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "entities": "[{\"name\":\"Gazprom\",\"country\":\"RU\"},{\"name\":\"Sberbank\"}]", "names": [ "Gazprom", "Sberbank", ], "sanctionsLists": [ "OFAC", "EU", "UN", "UK", ], "gleifEnrich": True, "fuzzyThreshold": 0.7, "maxResultsPerEntity": 3, } # Run the Actor and wait for it to finish run = client.actor("gp005/gleif-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 '{ "entities": "[{\\"name\\":\\"Gazprom\\",\\"country\\":\\"RU\\"},{\\"name\\":\\"Sberbank\\"}]", "names": [ "Gazprom", "Sberbank" ], "sanctionsLists": [ "OFAC", "EU", "UN", "UK" ], "gleifEnrich": true, "fuzzyThreshold": 0.7, "maxResultsPerEntity": 3 }' | apify call gp005/gleif-sanctions-screener --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gp005/gleif-sanctions-screener", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GLEIF LEI & Sanctions Screener (OFAC/EU/UN/UK)", "description": "Screen companies by LEI or name via GLEIF API; cross-check OFAC, EU, UN, and UK sanctions lists. Returns enriched entity data with match hits and risk flags — no login, no paywall.", "version": "0.1", "x-build-id": "fBy6whhjvxID6mdc1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gp005~gleif-sanctions-screener/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gp005-gleif-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gp005~gleif-sanctions-screener/runs": { "post": { "operationId": "runs-sync-gp005-gleif-sanctions-screener", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gp005~gleif-sanctions-screener/run-sync": { "post": { "operationId": "run-sync-gp005-gleif-sanctions-screener", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "entities": { "title": "Entities to screen (JSON)", "type": "string", "description": "JSON array of entities to screen. Each item can be a string (company name or 20-char LEI) or an object with {name, lei, country}. Example: [{\"name\":\"Gazprom\",\"country\":\"RU\"},{\"lei\":\"HWUPKR0MPOU8FGXBT394\"}]" }, "leis": { "title": "LEI codes (flat list)", "type": "array", "description": "Flat list of 20-character ISO 17442 LEI codes to look up. Alternative to 'entities'. Example: [\"HWUPKR0MPOU8FGXBT394\"]", "items": { "type": "string" } }, "names": { "title": "Company names (flat list)", "type": "array", "description": "Flat list of company names to screen. Alternative to 'entities'. Example: [\"Gazprom\",\"Rosneft\"]", "items": { "type": "string" } }, "sanctionsLists": { "title": "Sanctions lists to check", "type": "array", "description": "Which official government sanctions lists to screen against. Default: all four (OFAC = US Treasury SDN, EU = EU Consolidated List, UN = UN Security Council Consolidated List, UK = UK FCDO Sanctions List).", "items": { "type": "string", "enum": [ "OFAC", "EU", "UN", "UK" ] }, "default": [ "OFAC", "EU", "UN", "UK" ] }, "gleifEnrich": { "title": "Enrich with GLEIF LEI data", "type": "boolean", "description": "When true (default), each entity is looked up in the GLEIF LEI registry to get verified legal name, jurisdiction, registration status, and parent/ultimate-parent LEI before sanctions screening. Set false to skip GLEIF and screen only by input name (faster, lower cost).", "default": true }, "fuzzyThreshold": { "title": "Fuzzy match threshold", "minimum": 0, "maximum": 1, "type": "number", "description": "Trigram similarity threshold (0.0–1.0) for name matching against sanctions lists. Default 0.7 balances recall vs false positives. Increase to 0.85+ for strict matching; decrease below 0.6 for broader recall.", "default": 0.7 }, "maxResultsPerEntity": { "title": "Max GLEIF results per entity", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of GLEIF name-search matches to return per entity (applies when looking up by name, not LEI). Higher values = more thorough check but more entity-screened charges. Range: 1–20.", "default": 3 }, "maxTotalChargeUsd": { "title": "Max total charge (USD)", "minimum": 0, "type": "number", "description": "Hard spending cap in USD. The actor stops gracefully when this limit is reached, ensuring you never spend more than intended on large batches. Example: 5.00 caps a run at $5." } } }, "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 } } } } } } } } } } ```