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lumifylisted

Use Lumify's hosted sports intelligence MCP/REST API for schedules, live scores, sportsbook odds, NFL/NCAAF/NBA/NCAAB/NHL/MLB player props, public betting splits, and predictive bet intelligence across MLB, NFL, NBA, NHL, tennis, soccer, NCAAF, and NCAAB. Use when public scoreboards are insufficient — multi-book comparison, vig-free fair price, line history, player-prop progress, settled results, or structured intelligence. Don't use for a keyless one-off score snapshot.
lumifyai/sports-intelligence-skills · ★ 0 · AI & Automation · score 76
Install: claude install-skill lumifyai/sports-intelligence-skills
# Lumify Sports Intelligence Connect an agent to Lumify's hosted, read-only sports intelligence API via MCP or REST. Lumify provides schedules and live scores, multi-book sportsbook odds and line history, public betting splits, and predictive bet intelligence (probability, fair price, Price overlay) behind a single Bearer-auth surface — no scraping, no self-hosting. This skill installs no code and runs nothing locally. It teaches the agent how to get a key, connect an MCP client (or call REST directly), and run a safe research loop. > **Read-only intelligence — not advice.** Outputs are informational. Not betting, trading, financial, or investment advice. Do not present confidence tiers or price gaps as recommendations to wager. ## When to Use This Skill Use when public or keyless sports data is insufficient for the task: - **Multi-book price comparison** — the same event quoted across sportsbooks - **Vig-free / fair-price reference** — a sharp-anchored fair price vs retail lines - **Line-movement history** or a **historical closing-line** window (up to 90 days) - **Settled-outcome archives** — final `/odds` includes `result` (`won`/`lost`/`push`/`void`) - **Public betting splits** (ticket % vs handle %) on MLB, NBA, NHL, NFL - **Predictive bet intelligence** — probability, fair price, Price overlay, moneyline EV (Beta) - The user wants a **hosted MCP server** with credit metering rather than scraping public scoreboards - The user is building an agent/workflow that need