
Market Data
polymarket-api
This Skill documents integrating with Polymarket’s CLOB (central limit order book) and Gamma metadata APIs to build trading and market-data applications.
Overview
This Skill documents integrating with Polymarket’s CLOB (central limit order book) and Gamma metadata APIs to build trading and market-data applications.
This Skill documents integrating with Polymarket’s CLOB (central limit order book) and Gamma metadata APIs to build trading and market-data applications. It covers public and authenticated flows (Level 0 read-only, Level 1 signer to derive API keys, Level 2 trading), core REST endpoints for markets, prices, midpoints, orderbooks, trades, orders, and positions, plus Gamma endpoints for events and market metadata. The Skill includes practical Python patterns using ClobClient (host, chain_id, signature_type, funder), API credential creation, and example calls such as get_price, get_midpoint, get_book, POST /order, and DELETE /order/{id}. Use cases include algorithmic trading bots, portfolio managers, market scanners, liquidity provision, backtesting and on-chain settlement. Core advantages are unified order execution + market metadata, programmable API key workflows, and a straightforward Python SDK for rapid integration and automation.
Skill.md
How this skill works
This Skill documents integrating with Polymarket’s CLOB (central limit order book) and Gamma metadata APIs to build trading and market-data applications.
Polymarket API Integration Skill
Overview
This skill provides comprehensive guidance for integrating with Polymarket's APIs and smart contracts.
API Endpoints
CLOB API (Central Limit Order Book)
Base URL: https://clob.polymarket.com
Authentication Levels
- Level 0 (Public): Market data, orderbooks, prices
- Level 1 (Signer): Create/derive API keys
- Level 2 (Authenticated): Trading, orders, positions
Key Endpoints
GET /markets # List all markets
GET /markets/{token_id} # Get specific market
GET /price?token_id=X # Get current price
GET /midpoint?token_id=X # Get midpoint price
GET /book?token_id=X # Get orderbook
GET /trades # Get user trades
POST /order # Place order
DELETE /order/{id} # Cancel order
GET /positions # Get positions
Gamma API (Market Metadata)
Base URL: https://gamma-api.polymarket.com
GET /events # List events
GET /events/{slug} # Get event details
GET /markets # List markets
GET /markets/{id} # Get market details
Python Implementation Patterns
Initialize Client
from py_clob_client.client import ClobClient
from py_clob_client.clob_types import OrderArgs, OrderType
import os
class PolymarketService:
def __init__(self):
self.client = ClobClient(
host="https://clob.polymarket.com",
key=os.getenv("POLYMARKET_PRIVATE_KEY"),
chain_id=137,
signature_type=1,
funder=os.getenv("POLYMARKET_FUNDER_ADDRESS")
)
self.client.set_api_creds(
self.client.create_or_derive_api_creds()
)
async def get_market_data(self, token_id: str) -> dict:
"""Fetch comprehensive market data."""
return {
"price": self.client.get_price(token_id, "BUY"),
"midpoint": self.client.get_midpoint(token_id),
"book": self.client.get_order_book(token_id),
"spread": self.client.get_spread(token_id),
}
async def place_order(
self,
token_id: str,
side: str,
price: float,
size: float,
order_type: str = "GTC"
) -> dict:
"""Place a limit order."""
order = self.client.create_order(
OrderArgs(
token_id=token_id,
price=price,
size=size,
side=side,
)
)
return self.client.post_order(order, order_type)
WebSocket Subscription
import asyncio
import websockets
import json
async def subscribe_market_updates(token_ids: list[str]):
"""Subscribe to real-time market updates."""
uri = "wss://ws-subscriptions-clob.polymarket.com/ws/market"
async with websockets.connect(uri) as ws:
await ws.send(json.dumps({
"type": "subscribe",
"markets": token_ids
}))
async for message in ws:
data = json.loads(message)
yield data
Gamma API Client
import httpx
class GammaClient:
BASE_URL = "https://gamma-api.polymarket.com"
def __init__(self):
self.client = httpx.AsyncClient(base_url=self.BASE_URL)
async def get_active_markets(self) -> list[dict]:
"""Fetch all active markets."""
response = await self.client.get("/markets", params={"active": True})
return response.json()
async def get_event(self, slug: str) -> dict:
"""Fetch event with all markets."""
response = await self.client.get(f"/events/{slug}")
return response.json()
Order Types
- GTC (Good Till Cancelled): Stays until filled or cancelled
- GTD (Good Till Date): Expires at specified time
- FOK (Fill or Kill): Must fill entirely or cancel
- IOC (Immediate or Cancel): Fill what's available, cancel rest
Price Calculations
def calculate_implied_probability(price: float) -> float:
"""Convert price to implied probability."""
return price # Prices ARE probabilities (0-1)
def calculate_cost(price: float, shares: float) -> float:
"""Calculate cost to buy shares."""
return price * shares
def calculate_pnl(
entry_price: float,
current_price: float,
shares: float,
side: str
) -> float:
"""Calculate unrealized P&L."""
if side == "BUY":
return (current_price - entry_price) * shares
return (entry_price - current_price) * shares
Error Handling
from py_clob_client.exceptions import PolymarketException
try:
result = client.post_order(order)
except PolymarketException as e:
if "INSUFFICIENT_BALANCE" in str(e):
# Handle insufficient funds
pass
elif "INVALID_PRICE" in str(e):
# Handle price out of range
pass
raise
Rate Limits
- Public endpoints: ~100 requests/minute
- Authenticated endpoints: ~1000 requests/minute
- WebSocket: Varies by subscription type
Always implement exponential backoff and request queuing.
Key Contract Addresses (Polygon)
CONTRACTS = {
"CTF_EXCHANGE": "0x4bFb41d5B3570DeFd03C39a9A4D8dE6Bd8B8982E",
"NEG_RISK_CTF_EXCHANGE": "0xC5d563A36AE78145C45a50134d48A1215220f80a",
"CONDITIONAL_TOKENS": "0x4D97DCd97eC945f40cF65F87097ACe5EA0476045",
"USDC": "0x2791Bca1f2de4661ED88A30C99A7a9449Aa84174",
}
Best used for
When to use it
This Skill documents integrating with Polymarket’s CLOB (central limit order book) and Gamma metadata APIs to build trading and market-data applications.

01 · PRE-MEETING
Prepare a decision brief
Turn scattered evidence into a structured case before an investment committee meeting.

02 · TEAM WORKFLOW
Standardize handoffs
Create consistent research outputs across analysts, portfolio managers, and agents.

03 · LIVE UPDATE
Refresh the thesis
Update scenarios after a new catalyst, KPI release, or earnings result.
Community notes
Built to improve with use.
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