# Polymarket Whale Tracker — Pro (`apimie/polymarket-whales-pro`) Actor Richer Polymarket whale data: top 50 wallets with win rates & bot flags, full positions, market-whale concentration and complete 365-day price history. Refreshed every ~2h. Pay only for the calls you make — no subscription, no API key to manage. 7 actions, zero setup. - **URL**: https://apify.com/apimie/polymarket-whales-pro.md - **Developed by:** [Apimie Apimie](https://apify.com/apimie) (community) - **Categories:** Automation, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 80.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $60.00 / 1,000 data-retrivals 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 ## Polymarket Whale Tracker — Pro > **The data the free feeds don't give you.** Top 50 whale wallets with **win rates, win/loss records and bot-likelihood flags**, **full** wallet position breakdowns, market-whale concentration, and **complete 365-day** price history — refreshed every **~2 hours**. The Pro tier key is **built in** (no API key to manage) and there's **no subscription** — you pay only per call. ### What this actor does Queries a production database populated automatically from Polymarket's CLOB data API. It identifies "whale" wallets (traders with large positions), tracks their open bets, and exposes full market price history. This is the **Pro** edition: Pro-tier data access is baked in, so you just pick an action and run — there's no API key to paste. **Use cases:** - **Copy trading**: follow the biggest wallets before they move the price - **Anomaly detection**: spot when whale concentration spikes before a resolution event - **Market research**: download full price history for any market for backtesting - **Portfolio analysis**: audit any wallet's complete Polymarket position book --- ### Why Pro — richer data, not just "more" The free/anonymous level is a teaser: top 10 wallets, position *summaries*, and 7 days of history. **Pro unlocks the data that actually drives decisions:** | | Free level | **Pro (this actor)** | |---|---|---| | Whale list | top 10, volume only | **top 50 + win rate, wins/losses, bot flag** | | Whale positions | summary totals only | **full per-position breakdown** | | `market_whales` (one-sided concentration) | 🔒 locked | ✅ included | | Whale history | last 7 days | **up to 365 days** | | Data freshness | every ~6h | **every ~2h** | Need the same rich data refreshed every **~15 minutes** for near-real-time monitoring? Use the **Trader** edition. --- ### Pricing — pay per call, no subscription This actor uses **pay-per-event**: you're charged **per data request** — one successful API call = one event. **No monthly subscription and no API key to buy.** The exact per-call price (and any discount for your Apify plan tier) is shown on this page; you only pay for the calls you actually run. Prefer anonymous **Bitcoin** billing with a personal key instead of paying through Apify? Get one at **https://apimie.com/pricing**. > **Note on limits.** This actor does not impose a practical daily cap. If an internal safety limit is ever reached, the run does **not** fail — it emits a single non-fatal record describing the situation (so you can detect it programmatically) and writes the same info to the run's `OUTPUT`. --- ### Actions | Action | What it returns | Required input | |---|---|---| | `list_markets` *(default)* | Active markets sorted by volume, with prices, spread, category tags | — | | `market_detail` | Full metadata + latest snapshot for one market | `marketId` | | `market_history` | Full price time series for one market | `marketId` | | `whale_list` | Top 50 wallets by volume **+ win rate, wins/losses, bot flag** | — | | `whale_positions` | **Full** open net positions for a wallet | `walletAddress` | | `whale_history` | Daily trade timeline for a wallet (up to 365 days) | `walletAddress` | | `market_whales` | All whale positions concentrated in one market | `marketId` | **Common inputs:** `limit` (max records), `category` / `subCategory` / `isActive` / `minVolume` (filters for `list_markets`), `from` / `to` (date window for `market_history`), `days` (lookback for `whale_history`, 1–365). **Example output record (`whale_list`):** ```json { "proxy_wallet": "0x204f72f35326db932158cba6adff0b9a1da95e14", "total_volume_usdc": 149850.00, "total_trades": 312, "buy_volume_usdc": 92400.00, "sell_volume_usdc": 57450.00, "win_rate": 0.64, "wins": 41, "losses": 23, "is_likely_bot": false, "last_movement_at": "2026-03-13T18:22:00.000Z" } ```` **Example output record (`whale_positions` — full detail):** ```json { "proxy_wallet": "0x204f72...", "condition_id": "0x9e145f...", "outcome_name": "Yes", "net_size_usdc": 3200.50, "avg_entry_price": 0.34, "last_trade_at": "2026-03-10T14:30:00.000Z", "question": "Will ETH close above $3000 on Apr 1?" } ``` *** ### Architecture ``` Polymarket CLOB API (data-api.polymarket.com) │ collected on a schedule (automated) ▼ n8n Automation Workflows → PostgreSQL │ ▼ apimie middleware (auth, tiering & rate limits) │ ▼ (this actor — Pro key baked in server-side) Apify Dataset ``` The backend endpoint URL and the Pro API key are stored as **server-side environment secrets** and are **never exposed** in actor code, logs, or user-facing configuration. Authentication, tiering, and per-call accounting are enforced by the apimie middleware. *** ### Tech stack | Component | Technology | |---|---| | Workflow automation | n8n (self-hosted) | | Database | PostgreSQL | | Data collection | Polymarket CLOB API | | AI categorization | Mistral / DeepSeek | | Actor | Apify SDK v3 (Node.js 20, ESM) | ### License Apache 2.0 # Actor input Schema ## `action` (type: `string`): Which data to fetch. Start with list\_markets to discover market IDs and whale\_list to discover wallet addresses. ## `marketId` (type: `string`): Numeric market ID (e.g. '553861'). Required for market\_detail, market\_history, and market\_whales. Run list\_markets first to find IDs. ## `walletAddress` (type: `string`): Polymarket proxy wallet address (0x…). Required for whale\_positions and whale\_history. Run whale\_list first to find addresses. ## `isActive` (type: `boolean`): For list\_markets: when enabled, only returns markets that are currently open and unresolved. ## `minVolume` (type: `number`): For list\_markets: exclude markets with total traded volume below this threshold. ## `category` (type: `string`): For list\_markets: filter results to one macro category. ## `subCategory` (type: `string`): For list\_markets: partial-match filter on sub-category (e.g. 'bitcoin', 'NBA'). Case-insensitive. ## `from` (type: `string`): For market\_history: return snapshots captured on or after this date. ## `to` (type: `string`): For market\_history: return snapshots captured on or before this date. ## `days` (type: `integer`): For whale\_history: number of days to look back from today. ## `limit` (type: `integer`): Maximum number of records to return. Applies to list\_markets (default 100) and whale\_list (default 50). ## Actor input object example ```json { "action": "list_markets", "marketId": "553861", "walletAddress": "0x204f72f35326db932158cba6adff0b9a1da95e14", "isActive": true, "minVolume": 50000, "subCategory": "bitcoin", "from": "2026-01-01", "to": "2026-03-01", "days": 30, "limit": 50 } ``` # Actor output Schema ## `dataset` (type: `string`): Market data records pushed to the dataset. ## `summary` (type: `string`): Run metadata (action, record count, timestamp) stored under the OUTPUT key. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("apimie/polymarket-whales-pro").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 = {} # Run the Actor and wait for it to finish run = client.actor("apimie/polymarket-whales-pro").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 '{}' | apify call apimie/polymarket-whales-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apimie/polymarket-whales-pro", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Polymarket Whale Tracker — Pro", "description": "Richer Polymarket whale data: top 50 wallets with win rates & bot flags, full positions, market-whale concentration and complete 365-day price history. Refreshed every ~2h. Pay only for the calls you make — no subscription, no API key to manage. 7 actions, zero setup.", "version": "0.0", "x-build-id": "e0C14uCtvzoRMlmC2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apimie~polymarket-whales-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apimie-polymarket-whales-pro", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apimie~polymarket-whales-pro/runs": { "post": { "operationId": "runs-sync-apimie-polymarket-whales-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apimie~polymarket-whales-pro/run-sync": { "post": { "operationId": "run-sync-apimie-polymarket-whales-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "action" ], "properties": { "action": { "title": "Action", "enum": [ "list_markets", "market_detail", "market_history", "whale_list", "whale_positions", "whale_history", "market_whales" ], "type": "string", "description": "Which data to fetch. Start with list_markets to discover market IDs and whale_list to discover wallet addresses.", "default": "list_markets" }, "marketId": { "title": "Market ID", "pattern": "^[0-9]+$", "type": "string", "description": "Numeric market ID (e.g. '553861'). Required for market_detail, market_history, and market_whales. Run list_markets first to find IDs." }, "walletAddress": { "title": "Wallet Address", "pattern": "^0x[a-fA-F0-9]{40}$", "type": "string", "description": "Polymarket proxy wallet address (0x…). Required for whale_positions and whale_history. Run whale_list first to find addresses." }, "isActive": { "title": "Active Markets Only", "type": "boolean", "description": "For list_markets: when enabled, only returns markets that are currently open and unresolved.", "default": true }, "minVolume": { "title": "Minimum Volume", "minimum": 0, "type": "number", "description": "For list_markets: exclude markets with total traded volume below this threshold." }, "category": { "title": "Category", "enum": [ "crypto", "politics", "sports", "pop_culture", "science_tech", "economy", "geopolitics", "entertainment", "other" ], "type": "string", "description": "For list_markets: filter results to one macro category." }, "subCategory": { "title": "Sub-Category", "type": "string", "description": "For list_markets: partial-match filter on sub-category (e.g. 'bitcoin', 'NBA'). Case-insensitive." }, "from": { "title": "From Date", "type": "string", "description": "For market_history: return snapshots captured on or after this date." }, "to": { "title": "To Date", "type": "string", "description": "For market_history: return snapshots captured on or before this date." }, "days": { "title": "History Lookback", "minimum": 1, "maximum": 365, "type": "integer", "description": "For whale_history: number of days to look back from today.", "default": 30 }, "limit": { "title": "Result Limit", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of records to return. Applies to list_markets (default 100) and whale_list (default 50)." } } }, "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 } } } } } } } } } } ```