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from $10.00 / 1,000 trader profileds

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Polymarket Trader Profiler: PnL, Win Rate & Smart-Money Score

Try for free

Profile any Polymarket trader or the leaderboard's top N: realized and unrealized PnL, win rate, ROI, edge vs. implied odds, drawdown, category strengths and a transparent smart-money score. Official public API, no login. Errors are free.

Pricing

from $10.00 / 1,000 trader profileds

Rating

0.0

(0)

Developer

Simon Liarsgård

Actor stats

Bookmarked

Total users

Monthly active users

16 hours ago

Last modified

Categories

Developer tools

Integrations

You can access the Polymarket Trader Profiler: PnL, Win Rate & Smart-Money Score programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
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      "inputSchema": {
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        "properties": {
          "traders": {
            "title": "Traders",
            "type": "array",
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            "items": {
              "type": "string"
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          },
          "leaderboardTopN": {
            "title": "Also profile the leaderboard's top N",
            "minimum": 0,
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            "description": "Pull the top N traders from Polymarket's leaderboard and profile them too. 0 = off. Combine with period, category and sort below.",
            "default": 0
          },
          "leaderboardPeriod": {
            "title": "Leaderboard period",
            "enum": [
              "day",
              "week",
              "month",
              "all"
            ],
            "type": "string",
            "description": "Leaderboard window used to pick the top N. Only used when the top N is above 0.",
            "default": "month"
          },
          "leaderboardCategory": {
            "title": "Leaderboard category",
            "enum": [
              "overall",
              "politics",
              "sports",
              "esports",
              "crypto",
              "culture",
              "mentions",
              "weather",
              "economics",
              "tech",
              "finance"
            ],
            "type": "string",
            "description": "Pick top traders overall or within one market category.",
            "default": "overall"
          },
          "leaderboardSortBy": {
            "title": "Leaderboard sort",
            "enum": [
              "PNL",
              "VOLUME"
            ],
            "type": "string",
            "description": "Rank the leaderboard by profit or by traded volume.",
            "default": "PNL"
          },
          "maxTraders": {
            "title": "Max traders per run",
            "minimum": 1,
            "maximum": 1000,
            "type": "integer",
            "description": "Hard cap on profiles per run (and so on cost). Traders over the cap are listed in the run summary, not charged.",
            "default": 100
          },
          "maxResolvedPositions": {
            "title": "Max resolved positions per trader",
            "minimum": 50,
            "maximum": 5000,
            "type": "integer",
            "description": "How many of the most recent closed and redeemable positions to use for win rate, ROI and edge. Higher = more history, slower run. Results say when the sample was capped.",
            "default": 500
          },
          "includeCategoryBreakdown": {
            "title": "Category breakdown",
            "type": "boolean",
            "description": "Add PnL, volume and rank per market category (politics, sports, crypto, …).",
            "default": true
          },
          "openPositionsInOutput": {
            "title": "Largest open positions to list",
            "minimum": 0,
            "maximum": 100,
            "type": "integer",
            "description": "How many of the largest open positions (by current value) to list per trader. Totals always cover all open positions.",
            "default": 10
          },
          "topResultsInOutput": {
            "title": "Top wins and losses to list",
            "minimum": 0,
            "maximum": 25,
            "type": "integer",
            "description": "How many of the biggest resolved wins and losses to list per trader.",
            "default": 5
          },
          "minResolvedPositions": {
            "title": "Smart money: min resolved positions",
            "minimum": 1,
            "maximum": 5000,
            "type": "integer",
            "description": "A trader is flagged smartMoney only if all three thresholds pass. Each check is reported in smartMoneyCriteria.",
            "default": 20
          },
          "minRoi": {
            "title": "Smart money: min ROI on resolved positions",
            "minimum": -1,
            "maximum": 100,
            "type": "number",
            "description": "0.05 = 5% return on cost basis.",
            "default": 0.05
          },
          "minRealizedPnlUsd": {
            "title": "Smart money: min all-time realized PnL (USD)",
            "type": "number",
            "description": "All-time realized profit the trader must have, in USD.",
            "default": 1000
          },
          "concurrency": {
            "title": "Traders in parallel",
            "minimum": 1,
            "maximum": 10,
            "type": "integer",
            "description": "How many traders to profile at the same time. The default is fine for most runs.",
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          }
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                "type": "string",
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Polymarket Trader Profiler: PnL, Win Rate & Smart Money OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Polymarket Trader Profiler: PnL, Win Rate & Smart-Money Score from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Polymarket Trader Profiler: PnL, Win Rate & Smart-Money Score API in Python

Polymarket Trader Profiler: PnL, Win Rate & Smart-Money Score API in JavaScript

Polymarket Trader Profiler: PnL, Win Rate & Smart-Money Score API through CLI

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