# HK SFC Enforcement — 證監會執法 API (`nexgendata/hk-sfc-enforcement-tracker`) Actor

Track Hong Kong SFC enforcement actions (public records). Clean JSON for analysts and AI agents.

- **URL**: https://apify.com/nexgendata/hk-sfc-enforcement-tracker.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** Business, Automation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $200.00 / 1,000 enforcement events

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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## HK SFC Enforcement

Track Hong Kong SFC enforcement actions (public records). Built for analysts, researchers, fintech builders and AI agents.

Factual public data — not financial or investment advice.

### 📊 What you get

Clean JSON, one record per event (full output has 13 fields):

- `action_id` — Action id
- `action_type` — Action type
- `breach_summary` — Breach summary
- `decision_date` — Decision date
- `full_notice_url` — Full notice url
- `party_name` — Party name
- `party_role` — Party role
- `party_type` — Party type
- `penalty_amount_hkd` — Penalty amount hkd
- `press_release_url` — Press release url

**Pricing:** $0.20 per event (Pay-Per-Event) — about **5 events per $1**.

### 🤖 Use with AI agents

Structured JSON built for LLM and agent pipelines — point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull Hong Kong SFC enforcement actions on demand.

**Sample agent prompt:**

```
List recent Hong Kong SFC enforcement actions and the parties involved.
```

**Agentic payments (x402):** Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

### ⏰ Run on a schedule

This is a monitoring play — schedule a recurring pull:

```json
{
  "limit": 50
}
```

### 繁體中文說明

本 Actor 提供香港證監會（SFC）的執法行動公開紀錄（處分日期、當事人、內容），輸出為整潔的 JSON，適用於分析師、量化研究人員、金融科技開發者及 AI 代理程式。按「處分記錄」計費（每美元約 5 筆），並支援定時執行——可每日或每週自動抓取香港證監會執法監控，是持續監控型的資料來源。公開資料，非投資建議。

### 🔗 Related HK / Taiwan actors

**Territory data suite:** [HKEX Announcements](https://apify.com/nexgendata/hkex-news-announcements), [HKEX IPO Calendar](https://apify.com/nexgendata/hkex-ipo-calendar), [HK Companies Registry](https://apify.com/nexgendata/hk-companies-registry), [Hang Seng Screener](https://apify.com/nexgendata/hkex-hang-seng-stock-screener)

**Cross-market hubs:** [APAC Disclosure Monitor](https://apify.com/nexgendata/apac-disclosure-monitor), [APAC IPO Calendar Sweep](https://apify.com/nexgendata/apac-ipo-calendar-sweep)

***

\*Data from public Hong Kong / Taiwan sources. Factual public data — not financial or investment advice.

公開資料，非投資建議。\*

# Actor input Schema

## `action_type` (type: `string`):

Filter SFC enforcement disclosures by action category. 'ALL' returns everything. 'DISCIPLINARY' = SFC disciplinary actions (reprimand, fine, suspension, revocation) against licensed corporations or representatives under the SFO. 'PROSECUTION' = criminal prosecutions brought by the SFC (market manipulation, insider dealing, unlicensed activity). 'PENALTY' = monetary penalties / fines published in enforcement news. 'RESTRICTION' = cold-shoulder orders, disqualification orders, suspension of dealings, restriction notices.

## `party_type` (type: `string`):

Filter by sanctioned party type. 'ALL' returns everything. 'INDIVIDUAL' covers responsible officers, licensed representatives, directors and other natural persons. 'FIRM' covers licensed corporations, brokerages, asset managers, and corporate entities.

## `decision_date_from` (type: `string`):

Lower bound on the SFC decision / publication date in ISO format (YYYY-MM-DD). Combine with decision\_date\_to to build a quarterly compliance report or a 90-day enforcement-trend window. Leave empty for no lower bound.

## `decision_date_to` (type: `string`):

Upper bound on the SFC decision / publication date in ISO format (YYYY-MM-DD). Pair with decision\_date\_from to bound the enforcement window. Leave empty for no upper bound.

## `keyword` (type: `string`):

Optional case-insensitive keyword filter applied across the party name, the breach summary, and the regulatory basis. Use to surface enforcement actions tied to a specific firm, scheme type (e.g. 'insider dealing', 'market manipulation', 'AML', 'short selling'), or breached Ordinance section (e.g. 'SFO s.300').

## `limit` (type: `integer`):

Hard cap on total events returned in this run (1-2000). Each enforcement event is one dataset row. Premium pricing applies per row.

## Actor input object example

```json
{
  "action_type": "ALL",
  "party_type": "ALL",
  "limit": 25
}
```

# 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 = {
    "action_type": "ALL",
    "party_type": "ALL",
    "decision_date_from": "",
    "decision_date_to": "",
    "keyword": "",
    "limit": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/hk-sfc-enforcement-tracker").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 = {
    "action_type": "ALL",
    "party_type": "ALL",
    "decision_date_from": "",
    "decision_date_to": "",
    "keyword": "",
    "limit": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/hk-sfc-enforcement-tracker").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 '{
  "action_type": "ALL",
  "party_type": "ALL",
  "decision_date_from": "",
  "decision_date_to": "",
  "keyword": "",
  "limit": 25
}' |
apify call nexgendata/hk-sfc-enforcement-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgendata/hk-sfc-enforcement-tracker",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/ORn72x5Zhk5P1lulG/builds/ujpudrNShjXoYxbmS/openapi.json