A comparison screen can look convincing long before its data is comparable. Two rows may carry the same player name and the same number, yet describe different periods, different games, or different settlement rules. A clean interface cannot repair that ambiguity after the fact.
A useful unified odds API should make those differences easier to see. Its promise is a stable way to ask questions across sources, with enough original context to decide whether the answers belong together.
Begin with identity, not display names
Player names are labels. They are useful to people, but fragile as database keys. Spelling, abbreviations, accents, and team changes can create false matches or hide real ones. Give a canonical player an internal identity and keep a separate mapping to each source’s player ID.
Events need the same care. An event identity should carry participants, competition, and scheduled start, with an explicit process for rescheduling. Preserve the source event ID alongside it. If a match is uncertain, return that uncertainty rather than silently joining two records because their names resemble one another.
A market is more than a stat
“Points” alone does not identify a market. A full-game line and a first-half line describe different outcomes. A standard offer and a special variant can carry different payout terms even when the underlying player is identical.
For an application schema, treat the following as separate fields:
- Identity: player, event, source, and source record IDs.
- Market: stat, period, selection side, and variant.
- Terms: line, price or payout representation, and settlement context.
- Observation: when the source was observed, whether the offer was available, and how fresh the source was.
That division keeps an application from treating a pick’em threshold as if it were automatically equivalent to a sportsbook price. The line and the price answer different questions. Preserve both when available; leave missing values explicit.
Keep the source attached
Normalization should make records easier to use without destroying their origin. Store the source identifier and the original market reference. When the source changes a rule or returns an unfamiliar field, that trace gives an engineer a way to investigate instead of guessing.
The same principle applies to status. An unavailable offer is different from an empty search result, an unsupported market, and a failed collection attempt. If all four become an empty array, the consumer cannot tell whether there is nothing to display or nothing reliable to display.
Time belongs in the comparison
A line observed earlier should not appear to be contemporaneous with a line observed moments ago merely because both arrived in the same API response. Carry observation timestamps through every transformation and display them near the values that depend on them.
For a comparison product, define an acceptable observation window. Records outside it can remain visible with their age, but should not quietly join an apparently current ranking. For historical analysis, the relevant question is what was known at the chosen moment, not what the latest corrected record says now.
One key should simplify the workflow
A shared credential, account, and credit balance can remove repetitive integration work. They do not, on their own, prove that two markets mean the same thing. The better test is whether a builder can trace a result back to its source and explain why it was included.
THE GETODDS DIRECTION
GetOdds is being shaped around one key and a shared data model for PrizePicks, Underdog, Pick6, DraftKings, and FanDuel. The unified service is proposed; the landing page is a design preview. Existing source services retain their own authentication and coverage. Start with the current PrizePicks API documentation for a working source integration.
Build the abstraction around a question you can answer honestly: which records are comparable, under which rules, and at what time? That is a foundation worth unifying.
