Delegate independent tasks to specialized agents working concurrently with isolated context.
Manifold Markets Trading Skill
trading-manifold
Place bets on Manifold Markets using their REST API
SKILL.md
Full skill instructions
Manifold Markets Trading Skill
Real, working methods to bet on Manifold Markets using Mana (play money that can be donated to charity).
Setup
Get your API key from: https://manifold.markets/profile (API key section)
import os
import requests
API_URL = "https://api.manifold.markets/v0"
API_KEY = os.getenv("MANIFOLD_API_KEY")
def headers():
return {
"Authorization": f"Key {API_KEY}",
"Content-Type": "application/json"
}
Search Markets
def search_markets(query: str, limit: int = 10):
"""Search for markets"""
r = requests.get(f"{API_URL}/search-markets", params={
"term": query,
"limit": limit,
"filter": "open",
"sort": "liquidity"
})
r.raise_for_status()
markets = r.json()
for m in markets[:5]:
prob = m.get("probability", 0.5)
print(f"\nMarket: {m['question']}")
print(f"ID: {m['id']}")
print(f"Probability: {prob*100:.1f}%")
print(f"URL: {m.get('url', '')}")
return markets
markets = search_markets("AI")
Get Market by ID or Slug
def get_market(id_or_slug: str):
"""Get market details"""
# Try by ID first
r = requests.get(f"{API_URL}/market/{id_or_slug}")
if r.status_code == 404:
# Try by slug
r = requests.get(f"{API_URL}/slug/{id_or_slug}")
r.raise_for_status()
return r.json()
market = get_market("will-gpt5-be-released-before-2025")
print(f"Question: {market['question']}")
print(f"Probability: {market.get('probability', 0.5)*100:.1f}%")
Place a Bet
def place_bet(
market_id: str,
amount: int, # Mana amount to bet
outcome: str = "YES", # "YES" or "NO"
limit_prob: float = None # Optional limit order probability
):
"""
Place a bet on Manifold
Args:
market_id: The market ID (not slug!)
amount: Amount of Mana to bet
outcome: "YES" or "NO"
limit_prob: Optional - if set, creates a limit order at this probability
"""
payload = {
"contractId": market_id,
"amount": amount,
"outcome": outcome
}
if limit_prob is not None:
payload["limitProb"] = limit_prob
r = requests.post(f"{API_URL}/bet", headers=headers(), json=payload)
r.raise_for_status()
result = r.json()
print(f"Bet placed!")
print(f"Shares: {result.get('shares', 0):.2f}")
print(f"Probability after: {result.get('probAfter', 0)*100:.1f}%")
return result
# Market bet - buys at current price
result = place_bet(
market_id="abc123",
amount=100, # 100 Mana
outcome="YES"
)
# Limit order - only fills at 40% or below
result = place_bet(
market_id="abc123",
amount=100,
outcome="YES",
limit_prob=0.40
)
Cancel Bet (Limit Orders Only)
def cancel_bet(bet_id: str):
"""Cancel a limit order"""
r = requests.post(f"{API_URL}/bet/cancel/{bet_id}", headers=headers())
r.raise_for_status()
return True
cancel_bet("bet123")
Sell Shares
def sell_shares(
market_id: str,
outcome: str = "YES",
shares: float = None # None = sell all
):
"""
Sell shares in a market
Args:
market_id: The market ID
outcome: "YES" or "NO" - which shares to sell
shares: Number of shares to sell (None = all)
"""
payload = {
"contractId": market_id,
"outcome": outcome
}
if shares is not None:
payload["shares"] = shares
r = requests.post(f"{API_URL}/market/{market_id}/sell", headers=headers(), json=payload)
r.raise_for_status()
return r.json()
# Sell all YES shares
sell_shares("abc123", "YES")
# Sell specific amount
sell_shares("abc123", "YES", shares=50.0)
Get Your Bets
def get_my_bets(market_id: str = None):
"""Get your bets"""
params = {}
if market_id:
params["contractId"] = market_id
r = requests.get(f"{API_URL}/bets", headers=headers(), params=params)
r.raise_for_status()
bets = r.json()
for b in bets[:10]:
print(f"Bet: {b['outcome']} {b['amount']}M @ {b.get('probBefore', 0)*100:.0f}%")
return bets
bets = get_my_bets()
Get Your Positions
def get_positions():
"""Get current positions across all markets"""
# Get user info first
r = requests.get(f"{API_URL}/me", headers=headers())
r.raise_for_status()
user = r.json()
# Get bets to calculate positions
r = requests.get(f"{API_URL}/bets", headers=headers(), params={"limit": 1000})
bets = r.json()
# Aggregate by market
positions = {}
for bet in bets:
mid = bet["contractId"]
if mid not in positions:
positions[mid] = {"yes": 0, "no": 0, "invested": 0}
if bet["outcome"] == "YES":
positions[mid]["yes"] += bet.get("shares", 0)
else:
positions[mid]["no"] += bet.get("shares", 0)
if not bet.get("isSold", False):
positions[mid]["invested"] += bet["amount"]
return positions, user.get("balance", 0)
positions, balance = get_positions()
print(f"Balance: {balance} Mana")
for mid, pos in positions.items():
if pos["yes"] > 0 or pos["no"] > 0:
print(f"Market {mid}: YES={pos['yes']:.1f}, NO={pos['no']:.1f}")
Get Balance
def get_balance():
"""Get your Mana balance"""
r = requests.get(f"{API_URL}/me", headers=headers())
r.raise_for_status()
user = r.json()
return user.get("balance", 0)
balance = get_balance()
print(f"Balance: {balance} Mana")
Complete Trading Bot Example
#!/usr/bin/env python3
"""
Manifold arbitrage bot - finds mispriced markets
"""
import os
import time
import requests
API_URL = "https://api.manifold.markets/v0"
API_KEY = os.getenv("MANIFOLD_API_KEY")
def h():
return {"Authorization": f"Key {API_KEY}", "Content-Type": "application/json"}
def search(query):
r = requests.get(f"{API_URL}/search-markets",
params={"term": query, "limit": 20, "filter": "open"})
return r.json()
def bet(market_id, amount, outcome, limit_prob=None):
payload = {"contractId": market_id, "amount": amount, "outcome": outcome}
if limit_prob:
payload["limitProb"] = limit_prob
r = requests.post(f"{API_URL}/bet", headers=h(), json=payload)
return r.json()
def get_balance():
r = requests.get(f"{API_URL}/me", headers=h())
return r.json().get("balance", 0)
# Strategy: Buy extreme probabilities (likely to revert)
MIN_LIQUIDITY = 1000 # Only trade liquid markets
while True:
try:
balance = get_balance()
print(f"\nBalance: {balance} Mana")
# Search trending markets
markets = search("2024")
for m in markets:
prob = m.get("probability", 0.5)
liquidity = m.get("totalLiquidity", 0)
if liquidity < MIN_LIQUIDITY:
continue
# Buy YES on very low probability (< 10%)
if prob < 0.10:
print(f"LOW: {m['question'][:50]} at {prob*100:.1f}%")
if balance > 50:
bet(m["id"], 50, "YES", limit_prob=0.15)
# Buy NO on very high probability (> 90%)
elif prob > 0.90:
print(f"HIGH: {m['question'][:50]} at {prob*100:.1f}%")
if balance > 50:
bet(m["id"], 50, "NO", limit_prob=0.85)
time.sleep(300) # Check every 5 minutes
except Exception as e:
print(f"Error: {e}")
time.sleep(60)
Multiple Choice Markets
def bet_multiple_choice(market_id: str, answer_id: str, amount: int):
"""Bet on a multiple choice market"""
payload = {
"contractId": market_id,
"amount": amount,
"answerId": answer_id
}
r = requests.post(f"{API_URL}/bet", headers=headers(), json=payload)
r.raise_for_status()
return r.json()
# Get market with answers
market = get_market("who-will-win-2024-election")
for answer in market.get("answers", []):
print(f"{answer['text']}: {answer['probability']*100:.1f}% (ID: {answer['id']})")
# Bet on specific answer
bet_multiple_choice("market123", "answer456", 100)
Create a Market
def create_market(
question: str,
description: str = "",
close_time: int = None, # Unix timestamp
initial_prob: float = 0.5,
ante: int = 100 # Initial liquidity
):
"""Create a new binary market"""
payload = {
"outcomeType": "BINARY",
"question": question,
"description": description,
"initialProb": int(initial_prob * 100),
"ante": ante
}
if close_time:
payload["closeTime"] = close_time * 1000 # Milliseconds
r = requests.post(f"{API_URL}/market", headers=headers(), json=payload)
r.raise_for_status()
return r.json()
# Create market
new_market = create_market(
question="Will it rain tomorrow in NYC?",
initial_prob=0.3,
ante=100
)
print(f"Created: {new_market['url']}")
Important Notes
- Mana is play money - Can be donated to charity
- No limit on bets - Unlike real money markets
- Market maker AMM - Prices move based on bets
- Limit orders - Use
limitProbfor better prices - API rate limits - Be gentle, ~60 requests/minute
- Shares ≠ Mana - Shares vary based on probability
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