# Korea KIND Disclosures — 상장공시 API (`nexgendata/korea-kind-disclosures`) Actor

Track Korea KIND listed-company disclosures from KRX. Clean JSON for analysts, quants and AI agents.

- **URL**: https://apify.com/nexgendata/korea-kind-disclosures.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 disclosures

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

## Korea KIND Disclosures

Track Korea KIND listed-company disclosures from KRX. Built for analysts, quants, fintech builders and AI agents.

Factual public data — not financial or investment advice.

### 📊 What you get

Clean JSON, one record per disclosure (full output has 16 fields):

- `company_name` — Company name
- `company_name_ko` — Company name ko
- `disclosure_date` — Disclosure date
- `disclosure_id` — Disclosure id
- `disclosure_time` — Disclosure time
- `disclosure_type` — Disclosure type
- `file_url` — File url
- `filer` — Filer
- `filing_category` — Filing category
- `market` — Market

**Pricing:** $0.10 per disclosure (Pay-Per-Event) — about **10 disclosures 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 Korea KIND (KRX) listed-company disclosures on demand.

**Sample agent prompt:**

```
Monitor new KIND disclosures for KOSPI companies and summarize them.
```

**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
}
```

### 한국어 안내

이 Actor는 한국거래소(KRX) KIND의 상장기업 공시 정보을(를) 깔끔한 JSON으로 제공합니다. 분석가, 퀀트 리서처, 핀테크 개발자, AI 에이전트를 위해 설계되었습니다. 「공시」 단위로 과금되며(달러당 약 10건), 정기 실행을 지원해 매일·매주 자동으로 상장기업 공시 모니터링을(를) 수집할 수 있습니다. 공개 데이터이며 투자 자문이 아닙니다.

### 🔗 Related Korea actors

**China data suite:** [DART Filings](https://apify.com/nexgendata/korea-dart-opendart-filings), [KRX Market Stats](https://apify.com/nexgendata/korea-krx-market-statistics), [IPO Pipeline](https://apify.com/nexgendata/korea-ipo-pipeline-tracker), [KOSPI Screener](https://apify.com/nexgendata/kospi-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 Korean market and government sources. Factual public data — not financial or investment advice.

공개 데이터이며 투자 자문이 아닙니다.\*

# Actor input Schema

## `tickers` (type: `array`):

Korean stock codes to filter (e.g. \['005930', '000660']). Empty = all recent.

## `lookbackDays` (type: `integer`):

How many days back to pull (max 90).

## `disclosureType` (type: `string`):

Free-text filter (matches against title). Blank = all.

## `maxResults` (type: `integer`):

Hard cap on disclosures returned.

## Actor input object example

```json
{
  "tickers": [],
  "lookbackDays": 7,
  "maxResults": 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 = {
    "tickers": [],
    "lookbackDays": 7,
    "disclosureType": "",
    "maxResults": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/korea-kind-disclosures").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 = {
    "tickers": [],
    "lookbackDays": 7,
    "disclosureType": "",
    "maxResults": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/korea-kind-disclosures").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 '{
  "tickers": [],
  "lookbackDays": 7,
  "disclosureType": "",
  "maxResults": 25
}' |
apify call nexgendata/korea-kind-disclosures --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/vqfF2GkjQGXYPP91H/builds/NUHn1KMuskwTJ6H55/openapi.json