Use cases
Build with sports odds, props, historical lines, and agent tools
These pages map common customer workflows to the exact ParlayAPI surfaces that support them.
Build an AI sports betting agent with real oddsUse ParlayAPI, llms.txt, agents.json, and MCP to give an AI agent live odds, props, and account-aware tools.Backtest a prop betting model with historical oddsCombine historical odds, props, closing lines, and line movement to evaluate model quality.Build a sportsbook arbitrage dashboardUse arbitrage, compare, consensus, and latency endpoints to monitor cross-book opportunities.Build positive EV betting alertsUse no-vig consensus pricing and source filters to generate alert candidates.Build an event-market radar for Kalshi, Polymarket, and NovigFind Specials, next-team, coach-out, and trade markets across event venues.Migrate from the-odds-api to ParlayAPIUse compatible parameters and route aliases to move odds clients with minimal code changes.Build a sportsbook arbitrage scannerPoll the arbitrage endpoint on a schedule, verify both legs are still live, and log every opportunity with source-native prices.Build a line-shopping tool that always finds the best priceShow every book's price per outcome with the best line flagged, and quantify how far the best price sits from the market average.Build a Discord betting bot with live oddsPost odds boards, score updates, and line-move alerts into Discord channels from one API.Ship an AI betting agent with MCP and agent signupGive an agent live odds tools over MCP and let it provision its user's API key through /v1/agent/signup.Backtest a betting model against real closing linesGrade model picks against the closing line, the benchmark that separates real edge from variance.Build a player-props tool with sportsbook and DFS linesCompare sportsbook prop prices against DFS-style lines from PrizePicks and Underdog in one response shape.Compare prediction-market prices against sportsbook consensusLine Kalshi and Polymarket quotes up against no-vig sportsbook consensus and flag disagreements worth investigating.Embed live odds widgets on any siteDrop live arbitrage, positive EV, and middles tables onto a site with one iframe, then graduate to API-backed custom embeds.Build a CLV tracking tool for graded betsGrade every bet against the closing line at a sharp book and track the one metric that predicts long-term results.Build a live odds tracker in Google SheetsTurn a spreadsheet into a live odds board with one Apps Script file, scheduled refreshes, and CSV export for the historical side.Build a custom GPT with live sports oddsWire a custom GPT Action to a live odds API with an OpenAPI schema import, key auth, and source-labeled answers.Build a positive EV dashboard in StreamlitA small Python dashboard that polls EV candidates, shows the consensus behind each edge, and logs entries for CLV grading.Load historical odds into a data warehouseAn ETL pattern for pulling closing lines and historical odds into pandas, DuckDB, or a warehouse without pagination glue.