The Odds API vs OddsJam
These are the two names that come up first when a developer needs sportsbook odds programmatically. One is a self-serve, credit-metered API you can start on for free. The other is a platform aimed at traders and syndicates, with consumer betting tools built in and API pricing that runs through a sales conversation. Facts below come from each provider's own site, checked 2026-07-09.
| Feature | The Odds API | OddsJam |
|---|---|---|
| What it is | ||
| Type of product | Self-serve sportsbook-odds API | Sportsbook-odds platform + API, with consumer betting tools |
| Coverage | ||
| Sportsbooks covered | ~40 mainstream books | 100+ books |
| +EV / arb scanner | None | Built in |
| Pricing | ||
| Free tier | 500 credits/month | None published for the API |
| Entry paid price | $30/mo, 20,000 credits | Unpublished; contact sales |
| Top published tier | $249/mo, 15,000,000 credits | Unpublished |
| Metering | Credits: markets × regions per call | Unpublished |
| Data | ||
| Historical odds | Included, free tier up | Opening + closing lines, line-movement history |
| Streaming | Not found in published docs | Low-latency feed aimed at automated workflows |
| Auth | API key | API key |
Source: the-odds-api.com/#get-access (fetched directly) + oddsjam.com/odds-api. OddsJam pricing estimates are third-party and unconfirmed. Verified 2026-07-09.
Coverage
The Odds API aggregates roughly 40 mainstream sportsbooks, including Bet365, DraftKings, FanDuel, and William Hill, across the major sports. OddsJam covers 100+ books, and layers moneylines, spreads, totals, player props, futures, and live in-play markets on top of that breadth.
For most projects, 40 books is already more than the model will use. The extra 60+ matter when you're line shopping at the margins or scanning for stale prices at smaller books. OddsJam's own consumer tools are built around that workflow.
Pricing and how you buy
The Odds API is fully self-serve. The free Starter tier gives you 500 credits a month across all sports and books, paid tiers run from $30 a month for 20,000 credits up to $249 for 15,000,000, and you never talk to a human. The catch is the metering: one call costs markets times regions, so a three-market request across two regions burns six credits, and historical endpoints cost ten times the base rate.
OddsJam publishes no API pricing at all. You contact sales and negotiate. Third-party comparison sites put plans somewhere around $500 to $1,000+ a month, a figure OddsJam itself has never confirmed, so treat it as a rumor with a wide error bar. If your budget needs a number before a call, that alone may decide this comparison.
Historical data
Both ship it, differently. The Odds API includes historical odds even on the free tier, with opening lines and closing-line movement, at the 10x credit multiplier mentioned above. OddsJam's historical feed carries opening odds and closing lines plus the full line-movement path between them, positioned for syndicates backtesting models at scale.
If backtesting is the whole project, price the credit math carefully on The Odds API side before assuming free means cheap.
Who each is built for
The Odds API reads like infrastructure for indie developers: transparent pricing on a real free tier, with a scope that stops at delivering the odds. OddsJam reads like a trading operation's vendor: 100+ books, a consumer +EV and arbitrage product bolted to the same data, low-latency feeds for automated betting, and pricing that assumes the buyer has revenue on the line.
A hobby dashboard and a syndicate's execution stack want different vendors. It's rare that the same team is genuinely torn between these two.
Common questions
Which one has a free tier?+−
How does The Odds API's credit metering work?+−
How much does OddsJam's API cost?+−
Does either cover Kalshi or Polymarket?+−
Which is better for backtesting against historical lines?+−
Prediction markets, as a second odds source
Both products on this page serve bookmaker lines; dino.markets, which we built, serves a different category entirely: order-book prices on event contracts from Kalshi and Polymarket, matched cross-venue with a published confidence score. It won't replace a sportsbook-odds API, and developers typically pair it with one to see how prediction markets price the same games the books do.