> ## Documentation Index
> Fetch the complete documentation index at: https://docs.oddpool.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Cross-venue arbitrage
> Find risk-free cross-venue arbitrage opportunities, live from real-time order books.
Find markets where buying YES on one venue and NO on another costs less than 1 dollar combined. The gap is risk-free profit. Prices and order books are **live** — recomputed continuously from real-time venue WebSocket feeds (Kalshi, Polymarket, Opinion), not a periodic snapshot.
**Example:** "Will the Fed cut rates?" -- YES is 32c on Kalshi, NO is 60c on Polymarket. Buy both for 92c, locking in an 8c gross spread. After \~3c in venue fees (Kalshi taker + Polymarket taker), you pocket about 5c per contract guaranteed.
## Parameters
Minimum net profit after fees, in cents.
When `true`, attaches each leg's live ask ladder (top 25 levels) under `orderbook`, so you can size an order without a second call.
Deprecated and ignored. The legacy endpoint used it as a staleness window; the live cache is always current, so it has no effect. Accepted only for backwards compatibility.
## Example
```bash cURL theme={null}
curl -H "X-API-Key: your_api_key" \
"https://api.oddpool.com/arbitrage/current?min_net_cents=0.5&orderbook=true"
```
```python Python theme={null}
import requests
response = requests.get(
"https://api.oddpool.com/arbitrage/current",
headers={"X-API-Key": "your_api_key"},
params={"min_net_cents": 0.5, "orderbook": True},
)
opportunities = response.json()
```
## Response
A JSON array of opportunities, sorted by `net_cents` (highest first). An empty array means there are no current opportunities at or above your threshold. `net_cents` is your per-contract profit after all fees.
The opportunity tells you the trade directly: **buy YES on `buy_yes_market`, buy NO on `buy_no_market`.** `yes_leg` / `no_leg` give the exact `(market, identifier, book_side)` to hit for each side.
`gross_cents` / `fee_cents` / `net_cents` are the **top-of-book** economics (per contract): `net_cents = round((1 − (best_yes_ask + best_no_ask)) × 100) − fees`. `executable_size` and `max_profit_dollars` are the **depth-aware** answer to "how much can I actually take, and what's it worth?" — they walk *both* legs' ask ladders together: at each price level they fill the smaller of the two available sizes, add `(level_net_after_fees / 100) × size` to the profit, and advance until a level pair is no longer profitable after fees (or the ladders run out). So `executable_size` is the total fillable contracts and `max_profit_dollars` the summed profit across all profitable levels.
**`max_profit_dollars` is a conservative floor, not a guarantee.** It only considers the **top 25 levels**, so true fillable depth beyond that isn't counted. Fees are applied **per level** using the same per-venue rates as `net_cents` (Kalshi sector taker, Polymarket per-market `feeSchedule.rate`, Opinion topic rate + floor). It does not model slippage from latency, partial fills, or order-placement minimums — size against `executable_size` and the attached `orderbook`, not blindly.
Each venue block includes execution-ready identifiers you can pass directly to the venue's trading API:
* **Kalshi** — `market_ticker` is the ticker accepted by Kalshi's trade API.
* **Polymarket** — `condition_id` is the on-chain condition; `yes_token_id` / `no_token_id` are the CLOB token IDs for placing orders.
* **Opinion** — `child_market_id` is the categorical child market ID; `yes_token_id` / `no_token_id` are the trading-side token IDs.
Prices and order books are real-time; **volume and liquidity refresh roughly hourly**. Opinion does not expose 24h volume or liquidity, so `volume_24h` and `liquidity` are `null` for Opinion legs. `timestamp` is when the opportunity was last recomputed.
```json theme={null}
[
{
"event_id": "stanley-cup-2026",
"event_title": "NHL Stanley Cup Champion 2026",
"outcome_key": "colorado_avalanche",
"label": "Colorado Avalanche",
"timestamp": "2026-05-26T02:21:54.190359",
"market_type": null,
"resolution_time": "2026-06-29T19:00:00",
"kalshi_event_ticker": "KXNHL-26",
"polymarket_event_slug": "2026-nhl-stanley-cup-champion",
"opinion_market_id": 345,
"kalshi": {
"market_ticker": "KXNHL-26-COL",
"yes_ask": 0.07, "no_ask": 0.95,
"volume": 6352005, "volume_24h": 320871,
"open_interest": 3146772
},
"polymarket": {
"condition_id": "0xf8f63bb47b2a7c2e0c1be3cedf4075079b11c07476d76a9469065b0c4791961a",
"yes_token_id": "101738487887518832481587379955535423775326921556438741919099866785354159699479",
"no_token_id": "87978082071653935678874296685430503892266481242311708420787197372467948088235",
"yes_ask": 0.055, "no_ask": 0.948,
"volume": 15219511.07, "volume_24h": 215850.28,
"liquidity": 50818.82
},
"opinion": {
"child_market_id": 5566,
"yes_token_id": "109494079162951671873858278805080808339824558282001815297323400464995130701684",
"no_token_id": "74166100071861466695478367383768425561540521028754831523233794115776851950059",
"yes_ask": 0.21, "no_ask": 0.782,
"volume": 38765.84, "volume_24h": null, "liquidity": null
},
"buy_yes_market": "polymarket",
"buy_no_market": "opinion",
"gross_cents": 16.3,
"fee_cents": 2,
"net_cents": 14.3,
"executable_size": 97.87,
"max_profit_dollars": 13.94,
"yes_leg": { "market": "polymarket", "identifier": "101738487887518832481587379955535423775326921556438741919099866785354159699479", "book_side": "ask" },
"no_leg": { "market": "opinion", "identifier": "74166100071861466695478367383768425561540521028754831523233794115776851950059", "book_side": "ask" },
"orderbook": {
"as_of": "2026-05-26T02:21:47.062741",
"yes": {
"market": "polymarket",
"asks": [
{ "price": 0.055, "size": 42.97 },
{ "price": 0.056, "size": 14989.0 }
]
},
"no": {
"market": "opinion",
"asks": [
{ "price": 0.782, "size": 97.87 }
]
}
}
}
]
```
`orderbook` is only present when you pass `orderbook=true`. It carries the top 25 ask levels per leg — ask side only (the price ladder to *buy* that outcome).