Use case: props and DFS researchers

Build a player-props tool with sportsbook and DFS lines

Compare sportsbook prop prices against DFS-style lines from PrizePicks and Underdog in one response shape.

Who this is for

Developers building pick'em research tools that need the sportsbook price and the DFS line for the same player market side by side, without scraping either.

Recommended workflow
  1. List available markets with /props/markets
  2. Pull /props filtered by market, book, and player
  3. Compare sportsbook prices to DFS lines on the same market
  4. Use /props/coverage to debug empty responses

The three endpoints this build uses

GET /v1/sports/{sport_key}/propsProp prices across sportsbooks and DFS apps, filterable by market, book, player, and event.
GET /v1/sports/{sport_key}/props/marketsFree list of every prop market key carried for the sport, for building pickers and validators.
GET /v1/sports/{sport_key}/props/coverageFree diagnostic showing which fresh books survive your exact filter set.

Working code

curl 'https://parlay-api.com/v1/sports/basketball_nba/props?markets=player_points&bookmakers=prizepicks,underdog,draftkings&dfsOdds=true&limit=25' \
  -H 'X-API-Key: YOUR_KEY'

Which tier fits

Player props are available from the Starter tier up. The props/markets and props/coverage endpoints are free, so you can scope the build before upgrading. Current limits are on the pricing page.

Example repo

Start from sports-odds-datasets, an open-source starting point for this exact build.

Build links

/answers/dfs-props-api/answers/good-api-for-player-props/bookmakers/prizepicks