# Polymarket Smart-Money & Whale Tracker (`quantfeeds/polymarket-smart-money`) Actor Track top Polymarket wallets by profit, stream large whale trades, and rate any wallet's skill with a statistically-sound win rate. - **URL**: https://apify.com/quantfeeds/polymarket-smart-money.md - **Developed by:** [QuantFeeds](https://apify.com/quantfeeds) (community) - **Categories:** AI, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 leaderboard wallet rows 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 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Smart-Money & Whale Tracker** is a **Polymarket API** for smart-money intelligence: track the most profitable **Polymarket whale wallets**, stream **large prediction-market trades** in real time, and score any trader's skill with a statistically-sound win rate — not a naive percentage. Use it for **Polymarket copy trading research**, whale alerts, quant backtesting, or as clean structured data for **AI agents and LLM pipelines**. Run it on demand or on a schedule and pull JSON straight from the Apify API. ### What does Polymarket Smart-Money Tracker do? It turns Polymarket's public on-chain activity into clean, structured data across three modes: - **Smart-money leaderboard** — the top wallets ranked by all-time profit, each with trading volume and a **capital-efficiency** ratio (profit per dollar traded) so you can tell grinders from genuinely sharp traders. - **Whale trades feed** — every recent trade above a USD threshold you set: who, which market, which side, how big, and when. This is your "smart money is moving right now" signal. - **Wallet analysis** — a deep report on any wallet: open positions, realized and unrealized P&L, account age, top holdings, and a luck-resistant **hit-rate confidence bound** (95% Wilson lower bound — a lucky 4-for-4 wallet can't outrank a proven 180-for-300 one). No login, no API keys, no browser automation — it reads Polymarket's own public data endpoints, so it's fast and reliable. ### Why use Polymarket Smart-Money Tracker? - **Copy-trading research** — find and vet wallets worth following before you mirror them. - **Alpha signals** — detect large informed trades as they land. - **Backtesting & quant work** — export skill-rated wallet lists and trade history as structured data. - **Market monitoring** — watch where serious capital is concentrating. Unlike the other whale trackers on the store, this one separates **skill from luck**: a wallet with 180 wins from 300 trades outranks one with 4 from 4, because the score is confidence-adjusted. ### How to use Polymarket Smart-Money Tracker 1. Open the Actor and pick a **Mode**. 2. For the leaderboard, set how many wallets to return. For whale trades, set a minimum USD size. For wallet analysis, paste one or more wallet addresses. 3. Click **Start**. 4. Download the results as **JSON, CSV, Excel, or HTML**, or fetch them from the Apify API. ### Input | Field | Mode | Description | |---|---|---| | `mode` | all | `leaderboard`, `whale_trades`, or `wallet_analysis` | | `leaderboardLimit` | leaderboard | Number of top wallets to return (default 50) | | `minTradeUsd` | whale_trades | Minimum trade notional in USD (default 1000) | | `tradesLimit` | whale_trades | Max trades to return (default 100) | | `wallets` | wallet_analysis | List of Polymarket proxy wallet addresses | ### Output Wallet analysis returns rows like: ```json { "wallet": "0xf0318c32136c2db7fec88b84869aee6a1106c80c", "accountAgeDays": 175, "portfolioValueUsd": 730516.30, "openPositions": 2, "openInvestedUsd": 358247.00, "openUnrealizedPnlUsd": 305921.00, "realizedPnlUsd": 372920.84, "resolvedTrades": 257, "resolvedWins": 12, "resolvedLosses": 245, "hitRate": 0.0467, "hitRateLowerBound": 0.0269, "topHoldings": [ {"market": "Will Spain win the 2026 FIFA World Cup?", "outcome": "Yes", "currentValueUsd": 601963.44, "cashPnlUsd": 305498.24} ] } ```` That example is a real profitable whale: a low-hit-rate longshot trader. This is why we report hit rate **and** P\&L separately instead of one misleading "score" — profitable prediction-market wallets are often right rarely but paid well when they are. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. ### Data fields | Field | Meaning | |---|---| | `wallet` | Polymarket proxy wallet address | | `pnlUsd` | All-time profit (leaderboard mode) | | `volumeUsd` | Total traded volume | | `capitalEfficiency` | Profit divided by volume | | `hitRate` / `hitRateLowerBound` | Share of resolved bets won, and its 95% Wilson lower bound (luck-resistant) | | `realizedPnlUsd` / `openUnrealizedPnlUsd` | Settled vs live P\&L, reported separately | | `portfolioValueUsd` | Current value of open positions | | `usdValue` | Notional size of a whale trade | | `market` / `outcome` / `side` | What was traded | ### How much does it cost? The Actor reads lightweight JSON endpoints, so runs are cheap and fast. You are charged per result returned (see the Pricing tab). A leaderboard of 50 wallets or a feed of 100 whale trades costs a fraction of a cent in most cases; wallet analysis costs a little more because it fetches positions and history per wallet. ### Tips - Schedule the **whale trades** mode every few minutes and connect it to Slack, Telegram, or a webhook via Apify Integrations to get live large-trade alerts. - Feed the **leaderboard** into **wallet analysis** to rank top wallets by hit-rate confidence and realized P\&L, not just headline profit. ### FAQ and support **Is there an official Polymarket API for whale tracking?** Polymarket exposes public data endpoints, but no ready-made smart-money layer. This Actor adds the intelligence: leaderboards, whale trade feeds, and skill-rated wallet analysis, delivered as JSON/CSV. **Can I use this for Polymarket copy trading?** Yes — that's the core use case. Find consistently profitable wallets, check their hit-rate confidence bound and P\&L decomposition, then monitor their new large trades with the whale feed. **Does it work for AI agents?** Yes. Output is structured JSON designed for LLM tools, RAG pipelines, and agent frameworks. Schedule it and webhook the results anywhere. **How fresh is the data?** Every run reads Polymarket's live public endpoints — no cached databases, no stale snapshots. **Is this legal?** The Actor only reads Polymarket's public, no-auth data endpoints and does not collect private personal information. As always, review Polymarket's terms and your local rules before commercial use. **Why is `hitRateLowerBound` lower than `hitRate`?** By design — it's a statistical lower bound, so it stays conservative until a wallet has a real track record. Found a bug or need a field added? Open an issue on the Actor's **Issues** tab. # Actor input Schema ## `mode` (type: `string`): What to fetch. 'leaderboard' = top wallets by all-time profit. 'whale\_trades' = recent large trades. 'wallet\_analysis' = deep P\&L + skill rating for specific wallets. ## `leaderboardLimit` (type: `integer`): How many top wallets to return (leaderboard mode). ## `minTradeUsd` (type: `integer`): Only return trades at or above this notional (whale\_trades mode). ## `tradesLimit` (type: `integer`): Maximum number of recent large trades to return (whale\_trades mode). ## `wallets` (type: `array`): One or more Polymarket proxy wallet addresses (wallet\_analysis mode). ## Actor input object example ```json { "mode": "leaderboard", "leaderboardLimit": 50, "minTradeUsd": 1000, "tradesLimit": 100, "wallets": [ "0xf0318c32136c2db7fec88b84869aee6a1106c80c" ] } ``` # Actor output Schema ## `results` (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 = { "wallets": [ "0xf0318c32136c2db7fec88b84869aee6a1106c80c" ] }; // Run the Actor and wait for it to finish const run = await client.actor("quantfeeds/polymarket-smart-money").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 = { "wallets": ["0xf0318c32136c2db7fec88b84869aee6a1106c80c"] } # Run the Actor and wait for it to finish run = client.actor("quantfeeds/polymarket-smart-money").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 '{ "wallets": [ "0xf0318c32136c2db7fec88b84869aee6a1106c80c" ] }' | apify call quantfeeds/polymarket-smart-money --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=quantfeeds/polymarket-smart-money", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Polymarket Smart-Money & Whale Tracker", "description": "Track top Polymarket wallets by profit, stream large whale trades, and rate any wallet's skill with a statistically-sound win rate.", "version": "0.1", "x-build-id": "8HO8M4hoBdFf0OnWY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/quantfeeds~polymarket-smart-money/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-quantfeeds-polymarket-smart-money", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/quantfeeds~polymarket-smart-money/runs": { "post": { "operationId": "runs-sync-quantfeeds-polymarket-smart-money", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/quantfeeds~polymarket-smart-money/run-sync": { "post": { "operationId": "run-sync-quantfeeds-polymarket-smart-money", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "leaderboard", "whale_trades", "wallet_analysis" ], "type": "string", "description": "What to fetch. 'leaderboard' = top wallets by all-time profit. 'whale_trades' = recent large trades. 'wallet_analysis' = deep P&L + skill rating for specific wallets.", "default": "leaderboard" }, "leaderboardLimit": { "title": "Leaderboard size", "minimum": 1, "maximum": 500, "type": "integer", "description": "How many top wallets to return (leaderboard mode).", "default": 50 }, "minTradeUsd": { "title": "Minimum trade size (USD)", "minimum": 100, "type": "integer", "description": "Only return trades at or above this notional (whale_trades mode).", "default": 1000 }, "tradesLimit": { "title": "Max trades", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of recent large trades to return (whale_trades mode).", "default": 100 }, "wallets": { "title": "Wallets to analyse", "type": "array", "description": "One or more Polymarket proxy wallet addresses (wallet_analysis mode).", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```