# Greenlit — Company Sanctions Screening (EU/OFAC/UK) (`fuze/greenlit`) Actor

Screen companies against EU, OFAC (US) and UK sanctions lists plus adverse media. Detailed hits (program, listing date, aliases) and a risk verdict per company. · More no-code data tools → datatools-hub.vercel.app

- **URL**: https://apify.com/fuze/greenlit.md
- **Developed by:** [Fredrik Hansson](https://apify.com/fuze) (community)
- **Categories:** Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $22.00 / 1,000 company 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Greenlit — Company Sanctions Screening (EU / OFAC / UK)

Screen any company against the **EU, OFAC (US) and UK** sanctions lists plus **adverse media**, and get a detailed risk verdict per company. Built for KYC/AML checks — fast, documented, no API keys.

### What you get per company

- **Verdict:** Greenlit (clear), Review, or Flagged — with a risk score
- **Sanctions hits** with full detail: list, program/regime, listing date, reason, aliases, match confidence (exact / strong / partial)
- **Adverse media** (negative news) with source, date and snippet
- **Recommendation** + timestamp, ready to store as documentation

### Example input

```json
{ "companies": ["Spotify AB", "Gazprom", "Klarna Bank AB"], "includeAdverseMedia": true }
```

### Use cases

- KYC/AML onboarding checks for businesses obliged to screen customers
- Supplier / counterparty due diligence
- Batch-screen a client list against three sanctions regimes at once

### Pricing

**$0.05 per company screened** ($50 per 1,000). Covers all three sanctions lists (45,000+ entries, updated daily) plus adverse media.

### Notes

Screening support — not a legal decision. Partial name matches may be coincidences and must be verified manually. Sources: EU consolidated list, OFAC SDN, UK OFSI, open news media.

### Related actors

- [Nordic Tender Matcher (AI)](https://apify.com/fuze/nordic-tender-matcher) — AI agent that scores Norwegian, Finnish and Swedish public tenders against your company
- [Google Maps Lead Enricher (AI)](https://apify.com/fuze/google-maps-lead-enricher) — Takes company lists from popular Google Maps scrapers and turns them into sales-ready
- [AI Company Enrichment](https://apify.com/fuze/ai-company-enrichment) — Turn a list of domains into structured company profiles — firmographics, contacts

***

#### More no-code data tools

This actor is part of **Fuze** — a growing set of no-code data tools and step-by-step guides. Browse them all at **[datatools-hub.vercel.app](https://datatools-hub.vercel.app)**.

# Actor input Schema

## `companies` (type: `array`):

Company names to screen (one per line). Org numbers optional in the name.

## `includeAdverseMedia` (type: `boolean`):

Also search Google News (Swedish + English) for negative coverage.

## `openaiApiKey` (type: `string`):

Optional — enables an AI-written risk summary. Leave empty for rule-based scoring.

## Actor input object example

```json
{
  "companies": [
    "Spotify AB",
    "Gazprom",
    "Klarna Bank AB"
  ],
  "includeAdverseMedia": true
}
```

# Actor output Schema

## `reports` (type: `string`):

All screening reports in the default dataset.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        "Spotify AB",
        "Gazprom",
        "Klarna Bank AB"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fuze/greenlit").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "companies": [
        "Spotify AB",
        "Gazprom",
        "Klarna Bank AB",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("fuze/greenlit").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "companies": [
    "Spotify AB",
    "Gazprom",
    "Klarna Bank AB"
  ]
}' |
apify call fuze/greenlit --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fuze/greenlit"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/DUGoItX2ggKgF3uGn/builds/A5HUo0QWthGC7ZQcd/openapi.json