Live Tennis API Review 2026

Live Tennis API is a tennis-only sports data API that covers ATP, WTA, Challenger, and ITF across singles and doubles. It goes deeper than scores. You get point-by-point match narratives, match-winner market pricing (bid, ask, and mid with recent tick history), a proprietary win-probability model, and shot-level rally data on charted matches.

The depth is the pitch. General-purpose sports APIs cover tennis as one sport among thirty, with set and game scores and not much else. Live Tennis API treats tennis as its entire product and fills in the layers that generalists skip: individual points, serve directions, rally lengths, and calibrated probabilities that update as the match progresses.

The tour coverage spans all four professional circuits: ATP, WTA, Challenger, and ITF, in both singles and doubles formats. Within each match, the data model goes several levels deeper than a typical scores feed:

• Live scores with sub-second updates: sets, games, points, server identity, and tiebreak state, sourced from arbitrated multi-source feeds.
• Point-by-point history: 23.9 million archived point-state rows across 164,000+ matches from January 2023 to the present.
• Results archive: 1.48 million ATP and WTA matches going back to 1968.
• Match-winner odds: bid, ask, and mid pricing with tick history (Pro tier and above).
• Win-probability model: a proprietary, calibrated model that returns the favored side, a probability, a confidence score, and the key factors behind the call (Ultra tier).
• Shot-level rally data: 11,600+ charted matches with serve direction, stroke detail, and rally length (Ultra tier).

Player profiles, fixtures, rankings, and tournament schedules round out the non-match endpoints. The historical data archive is one of the deeper tennis-specific collections available through a public API.

The API follows an OpenAPI 3.1 spec, which means you can generate typed clients in any language from the spec file. Live Tennis API also ships first-party libraries:

• Python: livetennisapi with sync and async support, fully typed.
• JavaScript/TypeScript: livetennisapi for Node, Deno, Bun, Workers, and browser.
• MCP server: 12 read-only tools for Claude, Cursor, and other MCP-compatible AI agents.
• Postman workspace for manual testing.

Authentication uses either a Bearer token or an X-API-Key header, your choice. The base URL is https://api.livetennisapi.com/api/public/v1. Responses are JSON with UTC timestamps throughout.

The MCP server is a genuine differentiator. If you are building an AI agent that reasons about live tennis matches, the server gives your model structured access to scores, fixtures, and player data without writing custom integration code. See our sports MCP servers page for context on which providers offer this.

Four tiers, all published, with annual discounts that save two months:

• Free, $0: live scores, current matches, player data, usage tracking. 30 requests/minute, 100/day. No card required.
• Basic, $9.99/mo ($99/yr): historical results, point-by-point match narratives. 60/minute, 1,000/day.
• Pro, $29.99/mo ($299/yr): match timelines, betting market odds, bulk history downloads. 300/minute, 10,000/day.
• Ultra, $99.99/mo ($999/yr): win-probability model, WebSocket push, live statistics, shot-level rally data. 600/minute, 500,000/day.

The free tier is a real free tier, not a trial. You can run it indefinitely for lightweight score tracking. The jump from Free to Basic at $9.99 unlocks the historical archive, which is the data most models actually need. Pro adds the odds layer. Ultra adds the AI-facing features (probability model, WebSocket, rally charting).

SportsAPIs readers get 10% off any paid plan when signing up through our link. Upgrades are prorated mid-cycle, and you can cancel anytime.

The audience is narrow by design, and that narrowness is the strength:

• Tennis betting models that need point-level data, match-winner pricing, and a win-probability signal to build or validate predictions.
• Live-betting tools that push score updates and probability shifts to users in real time via the WebSocket feed.
• Tennis media and stats sites that want deep match narratives, rally breakdowns, and historical archives to power content.
• AI agents and LLM applications that can connect to the MCP server for structured tennis data without custom API wrappers.

Skip it if tennis is one sport among many in your product. A general-purpose sports data API covers tennis at the set-and-game level alongside 20+ other sports, which is the right tradeoff when depth per sport is less important than breadth.

A multi-sport data provider covers tennis as a line item. You get set scores, maybe game scores, and a winner. Live Tennis API starts where generalists stop: individual points, serve directions, rally lengths, and a trained probability model.

The tradeoff is obvious. You get one sport. If your product covers only tennis, that is not a tradeoff at all. If your product covers ten sports and tennis happens to be one, you will integrate Live Tennis API alongside a broader provider, and you pay for both.

On the odds side, the match-winner pricing is useful for modeling but thin compared to a full odds aggregator. You get bid/ask/mid on the match-winner market. You do not get spreads, totals, set betting, or prices from named bookmakers. For deeper odds coverage on tennis matches, pair this with a provider from the odds API directory.

Live Tennis API is the deepest tennis-specific data feed we have reviewed. Point-by-point archives, a calibrated probability model, shot-level charting, and an MCP server for AI agents add up to a product that takes its single sport seriously. The pricing is accessible (free to start, $9.99 for history, $29.99 for odds) and the developer experience is modern: OpenAPI spec, typed clients, flexible auth.

The limits are the limits of specialization. One sport, no broad odds aggregation, and the richest features (WebSocket, probability, rally data) sit on the $99.99 Ultra tier. For tennis-focused projects, it is hard to argue with the depth. Grab the free tier and pull a live match to see the data model before you choose a paid plan.

What stood out when we vetted Live Tennis API for the directory:

• Tennis-only depth: ATP, WTA, Challenger and ITF, singles and doubles, from live points to completed-match history
• Point-level live scores plus match-winner market prices (bid/ask/mid with recent tick history) over REST and WebSocket
• Proprietary win-probability model, a published OpenAPI spec, and first-party Python/JS clients plus an MCP server for AI agents

A focused tennis feed that goes well beyond scores. The point-by-point WebSocket, match-winner pricing and calibrated win-probability model are exactly what live-betting and prediction-market tools reach for, and the developer experience is refreshingly modern: an OpenAPI spec, official Python and JS libraries, even an MCP server for LLM agents. No free tier, but plans start at $9.99/mo so it is cheap to trial, and readers get 10% off through our link.

Last reviewed: 2026-07 · How providers get listed