# Screen a name against sanctions lists

**Use case:** 

Checks each name you give against the sanctions and watchlist sources selected, scoring the similarity and returning the matches above your threshold. Use it for KYC, onboarding or counterparty checks, with the match score on every row.

## Input

```json
{
  "names": [
    "Ivan Ivanov",
    "Acme Trading LLC"
  ],
  "sources": [
    "ofac_sdn",
    "un_consolidated"
  ],
  "minMatchScore": 75,
  "maxMatchesPerName": 10,
  "useProxy": false,
  "maxItems": 10000
}
```

## Output

```json
{
  "query": {
    "label": "Screened name",
    "format": "string"
  },
  "matchScore": {
    "label": "Match score",
    "format": "integer"
  },
  "riskLevel": {
    "label": "Risk level",
    "format": "string"
  },
  "matchType": {
    "label": "Match type",
    "format": "string"
  },
  "matchedName": {
    "label": "Matched listed name",
    "format": "string"
  },
  "entityType": {
    "label": "Entity type",
    "format": "string"
  },
  "programs": {
    "label": "Sanctions programs",
    "format": "string"
  },
  "sourceLabel": {
    "label": "Source list",
    "format": "string"
  },
  "uid": {
    "label": "List UID",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Sanctions Screening — OFAC & UN Watchlists Actor is ready to run with the inputs already set for "Screen a name against sanctions lists". [Sign up or log in](https://console.apify.com/create-task-from-example/BKoVHo0jY2vswPqfs) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Screen a name against sanctions lists" task

The Sanctions Screening — OFAC & UN Watchlists Actor will start running based on the input automatically. You can also change all the input fields, like names to screen, lists to load, and more, to match your specific use case.

### 3. Receive the "Screen a name against sanctions lists" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as screened name, match score, risk level, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Screen a name against sanctions lists" task via API](https://apify.com/alaudinburki/sanctions-watchlist-screening.md).

## About this Actor

This example demonstrates how to use [Sanctions Screening — OFAC & UN Watchlists](https://apify.com/alaudinburki/sanctions-watchlist-screening.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/alaudinburki/sanctions-watchlist-screening.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/alaudinburki/sanctions-watchlist-screening.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).
