# Singapore MAS Enforcement Actions — Regulatory API (`nexgendata/singapore-mas-enforcement`) Actor

Track Singapore MAS enforcement actions and penalties (public records). Clean JSON for analysts, researchers and AI agents.

- **URL**: https://apify.com/nexgendata/singapore-mas-enforcement.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 actions

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

## Singapore MAS Enforcement Actions

Track Singapore MAS enforcement actions and penalties (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 action (full output has 10 fields):

- `action_id` — Action id
- `action_type` — Enforcement action type
- `data_source` — Source of the data
- `date_of_action` — Date of action
- `firm_name` — Firm name
- `full_url` — Full url
- `individual_name` — Individual name
- `penalty_amount_sgd` — Penalty amount (SGD)
- `regulatory_basis` — Regulatory basis
- `summary` — Summary
  Records include a `data_source` field.

**Pricing:** $0.20 per action (Pay-Per-Event) — about **5 actions 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 MAS enforcement actions and regulatory penalties on demand.

**Sample agent prompt:**

```
List MAS enforcement actions this year and the firms and penalties 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
}
```

### 🔗 Related Singapore actors

**Singapore data suite:** [ACRA Company Search](https://apify.com/nexgendata/singapore-acra-companies), [SGX Announcements](https://apify.com/nexgendata/sgx-company-announcements), [GeBIZ Tenders](https://apify.com/nexgendata/singapore-gebiz-tenders), [HDB Resale](https://apify.com/nexgendata/singapore-hdb-resale-tracker)

**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 Singapore sources. Factual public data — not financial or investment advice.*

# Actor input Schema

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

Filter MAS enforcement disclosures by action type. 'ALL' returns every category. 'PROHIBITION' = prohibition orders issued under Financial Advisers Act s.59 or Securities and Futures Act s.101A barring an individual from regulated activity or management. 'CIVIL\_PENALTY' = civil penalties imposed under SFA s.232 (market misconduct in lieu of criminal prosecution) including penny-stock manipulation, spoofing, false trading. 'AML' = composition penalties for breaches of MAS Notice 626 (banks), 1014 (capital-markets), 824 (insurers) or equivalent AML/CFT notices. 'CRIMINAL' = MAS-disclosed criminal convictions and charges, including Commercial Affairs Department referrals jointly investigated with MAS. 'LICENSE' = license revocations, refusals, withdrawals, and Investor Alert List additions under SFA / FAA / PSA / IRDA.

## `date_from` (type: `string`):

Lower bound on the date MAS published or finalised the enforcement action (ISO YYYY-MM-DD). Combine with date\_to to build a quarterly enforcement report or a 90-day trend window. Leave empty for no lower bound.

## `date_to` (type: `string`):

Upper bound on the date MAS published or finalised the enforcement action (ISO YYYY-MM-DD). Pair with date\_from to bound the window. Leave empty for no upper bound.

## `firm_filter` (type: `string`):

Case-insensitive substring match against the firm name and summary text. Use for counterparty monitoring (e.g. 'DBS', 'Standard Chartered', 'Credit Suisse', 'Three Arrows', 'Binance'). Leave empty to skip.

## `individual_filter` (type: `string`):

Case-insensitive substring match against the named-individual field and summary text. Use to surface every MAS action against a specific representative, director, or trader (e.g. 'Ng Yu Zhi', 'Soh Chee Wen', 'Zhu Su'). Leave empty to skip.

## `max_results` (type: `integer`):

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

## Actor input object example

```json
{
  "action_type": "ALL",
  "max_results": 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",
    "date_from": "",
    "date_to": "",
    "firm_filter": "",
    "individual_filter": "",
    "max_results": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/singapore-mas-enforcement").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",
    "date_from": "",
    "date_to": "",
    "firm_filter": "",
    "individual_filter": "",
    "max_results": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/singapore-mas-enforcement").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",
  "date_from": "",
  "date_to": "",
  "firm_filter": "",
  "individual_filter": "",
  "max_results": 25
}' |
apify call nexgendata/singapore-mas-enforcement --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/4DDVCZ1X8zsQjIpw4/builds/faD2i9F1Qq3IgFAul/openapi.json