OddsPapi

Coverage that actually moves the needle

Line shopping only works if you can see the books that disagree with each other. OddsPapi pulls odds from 350+ bookmakers across 69 sports, and the spread of book types is what makes it useful for betting rather than just for building a pretty comparison widget:

• Sharp books — Pinnacle, SBOBET and Singbet. These are your reference prices. When a soft book hangs a number that's off the sharp consensus, that's your edge.
• Soft US books — Bet365, DraftKings, FanDuel and BetMGM. This is where the slow lines and promo-driven overlays live, and where most recreational money sits.
• Crypto books — 1xBet and Stake, which carry markets and limits the regulated US books won't touch.
• Exchanges — Betfair, Polymarket and Kalshi. Exchange prices are pure supply and demand, so they're a brutal sanity check on whether a "value" bet is actually value or just a stale line.

The point isn't the headline count. It's that all four categories live in one feed, so a sharp-vs-soft gap or a book-vs-exchange divergence shows up in a single response instead of five.

The features bettors care about

Coverage gets you in the door; these are the things that decide whether a feed is worth building on:

• Player props, Asian handicaps and totals — props are where the soft books are softest, because they can't price every alt-line and every player as tightly as a moneyline. Granular prop and alt-totals coverage is what makes a +EV props scanner possible at all.
• Free historical odds — you can pull past prices for backtesting without paying for a separate data product. If you want to measure closing line value or prove a model beats the close before you risk a cent, this is the piece most APIs charge a premium for.
• Real-time WebSocket feed — live line moves arrive as a stream instead of you polling on a timer. For in-play and for catching a steam move before the soft books adjust, the difference between a push feed and a 30-second poll is real money.
• A free tier — you can wire up their live odds API and prove out a strategy before committing to a paid plan.

How we use it

On JediBets the workflow is the same one any sharp bettor would build:

• Line shopping — for every game and market, compare all books and surface the best available price so you're never leaving half a point on the table.
• Arb detection — when two books' prices imply a combined probability under 100%, that's a locked-in arb. Pulling every book in one feed is what makes spotting them fast enough to actually bet.
• +EV props scanning — anchor to the sharp consensus, then flag every soft-book prop priced off that consensus by more than the vig. That's the scanner that turns a feed into an edge.

None of that requires a data-science team. It requires one reliable feed and a couple of loops.

Five-line Python quick start

Auth is a query param, not a header — a small detail that trips people up. Here's a working "is my key live" call:

import requests
API_KEY = "YOUR_API_KEY"
BASE_URL = "https://api.oddspapi.io/v4"
# auth is a query param, not a header
r = requests.get(f"{BASE_URL}/sports", params={"apiKey": API_KEY})
print(r.json())

From there it's the same pattern for fixtures, odds and historical endpoints — see the docs at oddspapi.io for the full reference.

Bottom line

If you line-shop, build your own betting tools, or backtest models against the closing line, an odds feed with this much book and market depth — sharps, soft books, crypto books and exchanges in one place, plus free historical data and a WebSocket stream — is hard to beat. If you just place the odd parlay on a single app, you don't need any of this. For everyone in between who's trying to actually beat the books, it's the part of the stack worth getting right first.