# Kimchi Premium Tracker (`automation-lab/kimchi-premium-tracker`) Actor Monitor Korea-vs-global crypto price gaps across Upbit, Bithumb, resilient USD/USDT references, and FX feeds for kimchi premium signals. - **URL**: https://apify.com/automation-lab/kimchi-premium-tracker.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Kimchi Premium Tracker Monitor the crypto **kimchi premium** between Korean KRW exchanges and global USD/USDT reference markets. This Apify Actor compares public prices from Upbit, Bithumb, a resilient global USD/USDT reference feed (Coinbase, Bybit, Kraken, with Binance fallback), and USD/KRW FX data, then saves one dataset row for each token and Korean exchange pair. ### What does Kimchi Premium Tracker do? Kimchi Premium Tracker calculates the percentage gap between a Korean KRW crypto price and a global USD price converted into KRW. It helps answer questions like: - Is BTC trading higher on Upbit than on a global USD/USDT reference after FX conversion? - Which Korean venue has the largest premium or discount right now? - Did a monitored token cross my alert threshold? - Which source failed if a data point is incomplete? ### Who is it for? Crypto traders, market-monitoring teams, analysts, and quant researchers use this Actor when they need current Korea-vs-global price gap signals. Typical personas: - Arbitrage researchers checking cross-market spreads - Risk teams monitoring Korea-specific market stress - Crypto dashboards that need normalized premium rows - Journalists and analysts tracking Korean retail demand - Data engineers feeding recurring market snapshots into warehouses ### Why use it? Kimchi premium calculations are simple in theory but annoying in production. You need to fetch Korean KRW prices, fetch global USD prices, fetch USD/KRW FX, normalize timestamps, handle unavailable markets, and keep a repeatable output schema. This Actor wraps that workflow into one run. ### Data sources The Actor uses public HTTP APIs: - Upbit ticker endpoint for KRW markets - Bithumb ticker endpoint for KRW markets - Coinbase, Bybit, Kraken, and Binance public spot ticker endpoints for USD/USDT markets - Frankfurter FX endpoint for USD/KRW conversion No login, browser automation, cookies, or exchange account is required. ### Data output table Each dataset item contains: | Field | Description | | --- | --- | | `token` | Crypto ticker symbol such as BTC or ETH | | `koreanExchange` | Upbit or Bithumb | | `globalExchange` | Actual global source used (`coinbase`, `bybit`, `kraken`, or `binance`) | | `krwPrice` | Korean exchange price in KRW | | `globalUsdPrice` | Global USD/USDT reference price | | `fxRateUsdKrw` | USD to KRW rate | | `globalKrwPrice` | Global USD price converted to KRW | | `premiumPct` | Kimchi premium percentage | | `premiumDirection` | premium, discount, flat, or unknown | | `thresholdMatched` | Whether the configured threshold was reached | | `status` | ok, partial, or error | | `errors` | Source-level failure messages | | `koreanSourceUrl` | URL used for Korean exchange data | | `globalSourceUrl` | URL used for global exchange data | | `fxSourceUrl` | URL used for FX data | | `checkedAt` | Time the row was generated | ### How much does it cost to track kimchi premium data? The Actor uses pay-per-event pricing. - A small start event is charged once per run. - A result event is charged for each token/exchange comparison row saved. - You control costs with `tokens`, `koreanExchanges`, and `maxPairs`. For example, four tokens across two Korean exchanges produce up to eight comparison rows. ### Quick start 1. Open the Actor on Apify. 2. Keep the default tokens or enter your own symbols. 3. Select Upbit, Bithumb, or both. 4. Choose a premium threshold. 5. Run the Actor. 6. Export the dataset as JSON, CSV, Excel, or through the API. ### Input configuration #### `tokens` A list of crypto symbols to monitor. Examples: - BTC - ETH - XRP - SOL - DOGE - ADA #### `koreanExchanges` Choose one or both supported Korean exchanges. Supported values: - `upbit` - `bithumb` #### `globalExchange` The recommended `auto` mode tries multiple public global price sources in this order: Coinbase, Bybit, Kraken, then Binance. This keeps default runs useful when one upstream API is unavailable from a cloud runtime location. Supported values: - `auto` - `coinbase` - `bybit` - `kraken` - `binance` #### `minPremiumPct` Sets the absolute threshold for `thresholdMatched`. Use `1` to mark rows where the premium or discount is at least 1%. #### `includeAllRows` When enabled, every comparison row is saved. When disabled, the Actor saves threshold matches and rows with partial/error status. #### `maxPairs` A safety cap for saved rows. Each token multiplied by each Korean exchange counts as one pair. ### Output example ```json { "token": "BTC", "koreanExchange": "upbit", "globalExchange": "coinbase", "krwPrice": 150000000, "globalUsdPrice": 108000, "fxRateUsdKrw": 1360.5, "globalKrwPrice": 146934000, "premiumPct": 2.086, "premiumDirection": "premium", "thresholdMatched": true, "status": "ok", "errors": [], "checkedAt": "2026-07-03T00:00:00.000Z" } ```` ### Tips for best results - Use liquid symbols that exist on Korean exchanges and at least one supported global source. - Keep `includeAllRows` enabled for monitoring dashboards. - Use `minPremiumPct` for alert filtering. - Use `maxPairs` to bound large token lists. - Treat partial rows as useful diagnostics rather than silent failures. ### Handling unavailable markets Not every token exists on every venue. If a token is missing from Upbit, Bithumb, or every selected global source, the Actor still saves a row with: - `status` set to `partial` or `error` - null price fields where needed - an explanation in `errors` This makes recurring jobs easier to debug. ### Integrations Use the output with: - Trading dashboards - Google Sheets exports - Data warehouses - Alerting pipelines - Quant notebooks - Internal monitoring jobs ### API usage with Node.js ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor('automation-lab/kimchi-premium-tracker').call({ tokens: ['BTC', 'ETH', 'XRP'], koreanExchanges: ['upbit', 'bithumb'], minPremiumPct: 1, }); console.log(run.defaultDatasetId); ``` ### API usage with Python ```python from apify_client import ApifyClient client = ApifyClient('MY-APIFY-TOKEN') run = client.actor('automation-lab/kimchi-premium-tracker').call(run_input={ 'tokens': ['BTC', 'ETH', 'XRP'], 'koreanExchanges': ['upbit', 'bithumb'], 'minPremiumPct': 1, }) print(run['defaultDatasetId']) ``` ### API usage with cURL ```bash curl -X POST 'https://api.apify.com/v2/acts/automation-lab~kimchi-premium-tracker/runs?token=MY-APIFY-TOKEN' \ -H 'Content-Type: application/json' \ -d '{"tokens":["BTC","ETH"],"koreanExchanges":["upbit","bithumb"],"minPremiumPct":1}' ``` ### MCP usage Connect the Actor to Claude via Apify MCP: `https://mcp.apify.com/?tools=automation-lab/kimchi-premium-tracker` Claude Code setup: ```bash claude mcp add apify https://mcp.apify.com/?tools=automation-lab/kimchi-premium-tracker ``` Claude Desktop JSON configuration: ```json { "mcpServers": { "apify-kimchi-premium-tracker": { "url": "https://mcp.apify.com/?tools=automation-lab/kimchi-premium-tracker" } } } ``` Example prompts: - Run the kimchi premium tracker for BTC, ETH, and XRP. - Show me Korean crypto premium rows where the premium is above 2%. - Export current Upbit and Bithumb premium data to a table. ### Scheduling You can schedule the Actor on Apify to create recurring market snapshots. Common cadences: - Every 15 minutes for dashboards - Hourly for market monitoring - Daily for historical research snapshots ### Legality This Actor uses public market data APIs. You are responsible for complying with exchange API terms, local laws, and your organization's market-data policies. The Actor does not place trades, manage accounts, or provide financial advice. ### FAQ #### Is this a trading bot? No. It only fetches public market data and calculates premium rows. It does not place trades or manage exchange accounts. #### Does it require Korean exchange API keys? No. The current implementation uses public ticker endpoints and does not require login credentials. ### Troubleshooting #### Why is a row partial? A row is partial when one source failed or a symbol does not exist on a venue. Check the `errors` field and source URLs. #### Why is the premium null? The premium is null when either the Korean price, global price, or FX rate could not be calculated. #### Why do I see discounts? A negative premium means the Korean KRW price is below the FX-adjusted global reference price. ### Related scrapers and monitors Other automation-lab actors that may fit adjacent workflows: - `https://apify.com/automation-lab/cex-perp-funding-aggregator` - `https://apify.com/automation-lab/token-unlock-calendar` ### Reliability notes The Actor retries transient request failures with backoff. It avoids browser automation and proxies because the data sources are public API endpoints. ### Changelog Initial version tracks Upbit and Bithumb KRW markets against resilient global USD/USDT prices with USD/KRW FX conversion. ### Support If you need additional exchanges, output fields, or alert formats, open an issue on the Apify Actor page. # Actor input Schema ## `tokens` (type: `array`): Ticker symbols to compare between Korean KRW markets and global USD/USDT reference markets. ## `koreanExchanges` (type: `array`): Korean KRW venues to compare against the global reference price. ## `globalExchange` (type: `string`): Global USD/USDT venue used as the baseline price. Auto tries Coinbase, Bybit, Kraken, then Binance to avoid location-restricted APIs. ## `minPremiumPct` (type: `number`): Only marks thresholdMatched=true when the absolute premium or discount is at least this percentage. Use 0 to flag every valid row. ## `includeAllRows` (type: `boolean`): When enabled, saves every token/exchange comparison. Disable to save only threshold matches and partial/error rows. ## `maxPairs` (type: `integer`): Safety cap for saved comparison rows. Each token times each selected Korean exchange counts as one pair. ## `requestTimeoutSecs` (type: `integer`): Timeout per exchange/FX API request. Increase only if an upstream API is slow. ## Actor input object example ```json { "tokens": [ "BTC", "ETH", "XRP", "SOL" ], "koreanExchanges": [ "upbit", "bithumb" ], "globalExchange": "auto", "minPremiumPct": 1, "includeAllRows": true, "maxPairs": 20, "requestTimeoutSecs": 15 } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "tokens": [ "BTC", "ETH", "XRP", "SOL" ], "koreanExchanges": [ "upbit", "bithumb" ], "globalExchange": "auto", "minPremiumPct": 1, "includeAllRows": true, "maxPairs": 20, "requestTimeoutSecs": 15 }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/kimchi-premium-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "tokens": [ "BTC", "ETH", "XRP", "SOL", ], "koreanExchanges": [ "upbit", "bithumb", ], "globalExchange": "auto", "minPremiumPct": 1, "includeAllRows": True, "maxPairs": 20, "requestTimeoutSecs": 15, } # Run the Actor and wait for it to finish run = client.actor("automation-lab/kimchi-premium-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 '{ "tokens": [ "BTC", "ETH", "XRP", "SOL" ], "koreanExchanges": [ "upbit", "bithumb" ], "globalExchange": "auto", "minPremiumPct": 1, "includeAllRows": true, "maxPairs": 20, "requestTimeoutSecs": 15 }' | apify call automation-lab/kimchi-premium-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/kimchi-premium-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kimchi Premium Tracker", "description": "Monitor Korea-vs-global crypto price gaps across Upbit, Bithumb, resilient USD/USDT references, and FX feeds for kimchi premium signals.", "version": "0.1", "x-build-id": "R2Y8J5LjHFl3DSJJJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~kimchi-premium-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-kimchi-premium-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-lab~kimchi-premium-tracker/runs": { "post": { "operationId": "runs-sync-automation-lab-kimchi-premium-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-lab~kimchi-premium-tracker/run-sync": { "post": { "operationId": "run-sync-automation-lab-kimchi-premium-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "tokens": { "title": "Crypto tokens", "type": "array", "description": "Ticker symbols to compare between Korean KRW markets and global USD/USDT reference markets.", "items": { "type": "string" }, "default": [ "BTC", "ETH", "XRP", "SOL" ] }, "koreanExchanges": { "title": "Korean exchanges", "type": "array", "description": "Korean KRW venues to compare against the global reference price.", "items": { "type": "string", "enum": [ "upbit", "bithumb" ], "enumTitles": [ "Upbit", "Bithumb" ] }, "default": [ "upbit", "bithumb" ] }, "globalExchange": { "title": "Global reference exchange", "enum": [ "auto", "coinbase", "bybit", "kraken", "binance" ], "type": "string", "description": "Global USD/USDT venue used as the baseline price. Auto tries Coinbase, Bybit, Kraken, then Binance to avoid location-restricted APIs.", "default": "auto" }, "minPremiumPct": { "title": "Minimum absolute premium %", "minimum": 0, "maximum": 100, "type": "number", "description": "Only marks thresholdMatched=true when the absolute premium or discount is at least this percentage. Use 0 to flag every valid row.", "default": 1 }, "includeAllRows": { "title": "Include all rows", "type": "boolean", "description": "When enabled, saves every token/exchange comparison. Disable to save only threshold matches and partial/error rows.", "default": true }, "maxPairs": { "title": "Maximum token/exchange pairs", "minimum": 1, "maximum": 200, "type": "integer", "description": "Safety cap for saved comparison rows. Each token times each selected Korean exchange counts as one pair.", "default": 20 }, "requestTimeoutSecs": { "title": "Request timeout seconds", "minimum": 3, "maximum": 60, "type": "integer", "description": "Timeout per exchange/FX API request. Increase only if an upstream API is slow.", "default": 15 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```