ParlayAPI

Create a free-tier ParlayAPI account for the given email. Returns the API key, a magic-login URL the user can click to access their dashboard, and a Stripe upgrade URL. Idempotent: if the email already has an account, returns exists=true with the login URL only (the existing API key is intentionally NOT exposed for security). Use this when a user wants to start building with

Request an owner-authenticated checkout URL or an email-link flow. A configured key is forwarded for the backend to verify account ownership. With no matching key, the backend returns an email-flow acknowledgement rather than a checkout URL. That response does not confirm email delivery. Tiers: starter, pro, business, enterprise, scale. For current prices, call parlayapi_get_p

Email a magic-login link for an existing ParlayAPI account. Always returns ok=true regardless of whether the email exists, to prevent account enumeration. The user receives the link by email.

Return the current public pricing table. No API key required. Use this when an agent needs to explain which tier unlocks a workflow before sending a checkout link.

List currently active live sports on the retail /live surface. No API key required. Returns sport keys plus live event and book counts so agents can discover what is active right now.

Search live teams, players, and sport keys. No API key required. Useful when the user asks for a team, player, or league by natural-language name and the agent needs the exact sport_key to call next.

Return the public best-line command center payload. No API key required. Shows current games, participating books, and best available real prices on the /live dashboard preview. This is a discovery and demo surface, not a substitute for the paid odds endpoints.

Return public per-source freshness and quality metadata. No API key required. Use this to prove that rows are flowing from each source before choosing books for a customer workflow.

Return public per-book coverage gates. No API key required. This is the proof surface for whether each source survives freshness, normalization, database, REST-shape, and stream-shape checks.

List available sport keys. Use these in subsequent calls. Examples: baseball_mlb, basketball_nba, americanfootball_nfl, icehockey_nhl, soccer_epl, mma_ufc, esports_lol, table_tennis_*.

Get game-level odds for a sport from all configured bookmakers. Args: sport_key: e.g. "baseball_mlb", "soccer_epl" markets: Comma-separated. h2h, spreads, totals. regions: us, us2, uk, eu, fr, au, ca, mx, latam, br, asia. Comma-separated for multiple. bookmakers: Comma-separated bookmaker keys (optional). Examples: pinnacle, draftkings, fanduel, bov

Get player prop odds for a sport. Args: sport_key: e.g. "baseball_mlb", "basketball_nba" markets: Comma-separated prop market keys (optional). Examples: player_points, player_rebounds, player_strikeouts, player_passing_yards, player_total_bases. bookmakers: Comma-separated. Examples: prizepicks, underdog, sleeper, draftkings, fanduel

Find the best (highest) price for each outcome across bookmakers. Useful for line-shopping bots. Returns one row per game / market / side with the bookmaker offering the best price. Args: sport_key: e.g. "baseball_mlb" market: h2h | spreads | totals bookmakers: Restrict the search to these books (optional).

Should I bet this? One-call verdict for a specific bet. Returns the no-vig fair price for the exact bet, the best available price and which book has it, how the user's price (if given) grades as EV, a line-shopping nudge, and a plain-English call: BET / LEAN / FAIR / PASS (or NO_DATA). Use this when a user asks whether a specific bet is worth making, or whether they're getting

Remember which books the user can bet at, so parlayapi_verdict scopes its best-price and shop recommendations to them automatically (no need to pass region/books every call). Call this once when a user tells you where they bet ("I'm in the US on DraftKings and FanDuel"). Pass region OR an exact books list. Args: region: us | eu | uk | au | ca. books: exact CSV

Grade a multi-leg parlay: should you bet it, and at which book? Give 2 to 12 legs (each shaped like a parlayapi_verdict bet) and get the combined no-vig fair price, the single best BOOK to place the whole slip at (a real parlay is one slip, not best-of-each), the parlay's EV, the weakest leg, same-game correlation warnings, and (with stake) the payout. Best-price is scoped to

What should I bet right now? Ranked +EV plays for a sport. The discovery counterpart to parlayapi_verdict: scans the whole board, grades every candidate with the same no-vig engine, keeps only bets that are +EV at a book the user can bet at, and ranks them by edge. Also returns edge_alerts (books showing a price far off the market). Player props only, priced by several books,

Get info about the API key currently in use: tier, credits remaining, billing period.

Find cross-book arbitrage candidates from current quoted prices. Scans every event for quoted prices whose combined implied probability is under 100%. Results are candidates, not guaranteed executable profit: prices can move or be unavailable, and limits, latency, commissions, voids, settlement rules, or stake constraints can change the outcome. Soccer and other 3-way (home/dr

Find positive-EV bets vs a sharp book's no-vig fair line. Compares every soft book's price against the no-vig fair probability derived from a sharp book (default Pinnacle); rows where a soft book offers better odds than the sharp fair price are +EV. Three-way soccer markets use a dedicated no-vig pass over home/draw/away, so +EV on the draw surfaces too. Args: spo

Get consensus (average) odds across all bookmakers per market. Returns average, best, and worst price per (event, market, player, line), a sharp baseline for line-shopping. Soccer and other 3-way markets return separate home, draw, and away consensus rows. Args: sport_key: e.g. "baseball_mlb", "soccer_epl". markets: Comma-separated market_keys (optional), e.g. "mo

Find cross-book middle opportunities. A middle takes the Over at a low line on one book and the Under at a higher line on another, so a window of whole numbers cashes BOTH bets (e.g. Over 7.5 at one book, Under 9.5 at another means 8 or 9 wins both). Scans game totals, spreads, AND player-total props (points, rebounds, strikeouts, ...). Each result carries the window, the numb