Buying odds data
Build or buy, how to test a feed before you commit, and how to switch without breaking production.
Best odds API for matched betting: a buyer's checklistMatched betting needs back and lay prices paired per selection. The criteria that decide which odds API fits, weighted for an oddsmatcher, and how the categories of option compare.5 min readBuy vs build your odds data layer: the upkeep decides itThe five jobs inside an odds data layer, what licensing a feed takes off your team and what stays yours, set out in effort rather than money, plus a checklist for your own case.4 min readHow to evaluate odds-data coverageA book count is easy to print and hard to use. How to test a feed's coverage by product, sport, market depth and last read time, with the checks you can run before and after you hold a key.5 min readHow to switch odds data providers without downtimeMigrate off an odds provider by running the new feed beside your current one, diffing it on your own markets, and cutting over only when it holds up.5 min readHow to test an odds feed before you buyA hands-on checklist for evaluating an odds feed before you commit: what you can check without a key, what to check once one arrives, and the red flags that should end the test early.5 min readResponsible data supply for betting productsA data supplier delivers prices and their sources. The wager, the player and the permissions around them belong to the product that uses the data.4 min readWhat drives the cost of an odds feedThe drivers behind odds API pricing across the market, why the metering model matters more than the headline figure, and how to budget a month of calls before you buy.5 min readWhy teams stop scraping odds and buy a feedKeeping every price correct and paired across dozens of bookmakers is a job that never ends. The signs a team has outgrown its own collectors, and what a feed changes.4 min read