Live Tennis API Review: Live Scores, Results, Player Data and Developer Features

September 25, 2026

Picking a tennis data API is mostly a matter of asking the right questions early. Most of them look alike on a features page. The differences show up three weeks in, when you are trying to reconcile a season of results and something does not add up. Here is what to check before committing — with real numbers from Live Tennis API, so you can see what a straight answer looks like.

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What Does Live Tennis API Actually Cover?

Before getting into the evaluation questions, it helps to understand what is on offer. Live Tennis API is not a single endpoint — it is a suite of tools built around tennis data at different depths and speeds.

The core API is a fast REST and WebSocket interface for live scores, player data, odds and model win-probability across ATP, WTA, Challenger and ITF. The Ultra plan adds a per-point live feed, WebSocket and webhook push, and access to the reconstructed 2013–2022 point archive. Plans run from $9.99 to $99.99/mo, with a free tier that needs no card.

Break Point Alerts fire the instant a point commits, carrying live win-probability and a swing score. The free tier covers a useful subset; Alerts Pro at $9.99/mo covers every break point. There is also a Discord app that delivers the same alerts straight to a server or DMs — free to install, Alerts Pro unlocks full coverage.

The Historical Tennis Data API is a separate product built for backtesting, model training and match research. It covers point-by-point tape from January 2023 with model win-probability, plus the reconstructed 2013–2022 archive. Pricing starts from $29/mo with one-off packages also available.

For academic work, there is a free Academic Dataset — point-by-point ATP, WTA, Challenger and ITF data from 2023, free for non-commercial research and teaching, with a citable DOI. No subscription required.

On the developer side: official typed Python (livetennisapi-python) and JavaScript (livetennisapi-js) SDKs are available on GitHub, MIT-licensed and free. There are also starter kits so you can ship in minutes rather than hours. For AI workflows, a Model Context Protocol (MCP) endpoint lets AI agents and assistants query live tennis data directly — no glue code, free to connect, uses your existing API key.

Finally, there is an open-source Polymarket and Kalshi tennis toolkit for anyone building prediction market integrations: discover tennis markets, match them to live scores, and watch prices move against the live feed. MIT-licensed, runs on the free API tier.

1. Ask What the History Actually Covers

“Historical data” can mean a list of final scores or it can mean the full point sequence. Those are different products at different prices.

For point-by-point data, ask for the start date and the share of completed matches that carry a tape. Live Tennis API publishes the modern tape as monthly packages — 43 of them covering January 2023 to July 2026. Behind that sits a separate deep archive: 97,901 matches from 2013 to 2022 holding 14.3 million point states.

The share matters more than the start date. An API that began in 2019 and captured half the matches is worse for research than a younger one that captured almost all of them. Ask for both numbers, not just the year.

2. Ask How a Match with Missing Data Is Labelled

This is the question that separates a dataset you can trust from one you cannot.

Every match in Live Tennis API declares its own coverage. A tape marked from_start was watched live from 0-0. One marked partial joined mid-match. One marked reconstructed came from a point-by-point feed after the fact — meaning timestamps and model fields are null.

Nothing is ever synthesised from a final score. If it was not seen, the field is null and says so. That last part is worth pushing any provider on. A null you can filter is useful. A guess you cannot detect will quietly poison a model six months later.

3. Ask Whether Corrections Are Signalled

Results change after publication. A retirement gets recorded late, a scoreline is corrected, a walkover is reclassified. If you are settling anything off the data, you need to know when that happens.

Every completed match in Live Tennis API carries result_restated_at and result_version, and /history/matches accepts ?restated_since= so you can pull only what moved. One customer settles records off their results and asked for exactly this — which is why it exists.

4. Ask How the Competition Is Classified

This one bit a researcher recently and it is a good test of any provider.

Davis Cup matches are sanctioned by the ATP, so a query for tour=atp returns them. That is correct — and it is also not what someone building a main tour corpus expects. Of 16,864 completed men’s singles matches since January 2023, 1,527 are Davis Cup. Another 238 are United Cup, Olympics, Next Gen Finals, Laver Cup, exhibitions and a few that resolve to no tier at all.

The field to filter on is the event tier, not the tour. Live Tennis API publishes it per season on every tournament and match. Values look like atp_250, grand_slam, challenger_100, itf_m15 and davis_cup, and ?tier= takes a list. Ask your provider what their equivalent is. If the answer is a tournament name string, budget for a lot of parsing.

5. Ask What the Shot-Level Data Is

Rally and shot-by-shot data is a separate corpus from the point tape. Live Tennis API serves the Match Charting Project — currently 11,822 charted matches and 1,875,132 points across both tours, refreshed daily.

It is a community-charted dataset, not a complete record. That is the honest description. If a provider implies shot-level coverage of every match, ask for the match count.

6. Ask How Easily You Can Try It

Evaluation friction tells you a lot. Live Tennis API offers a free tier with no card required — 30 requests per minute and 100 per day. It runs on the same endpoints as the paid plans. You subscribe, you get a key, you run your script.

If you have to talk to sales before you can run one request, factor that into your comparison. A provider happy to be measured before you pay is usually one that has measured itself.

A Note on Comparisons

Take the six questions above to whichever providers you are weighing — including this one — and compare the answers. The ones that answer with a number are the short list.

Where to Find Live Tennis API

Get started (free or paid): livetennisapi.com — free tier, no card required
View plans & pricing ($9.99–$99.99/mo): livetennisapi.com/products
Break Point Alerts (free + Alerts Pro $9.99/mo): livetennisapi.com/break-point-alerts
Historical tennis data (from $29/mo): livetennisapi.com/historical-tennis-data-api
API reference & docs: docs.livetennisapi.com
Python & JavaScript SDKs (MIT, free): available on GitHub — livetennisapi-python and livetennisapi-js
Academic Dataset (free, citable DOI): point-by-point ATP/WTA/Challenger/ITF from 2023 for non-commercial research
Open research dataset (CC BY 4.0): blog.livetennisapi.com/studies.json
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Frequently Asked Questions

Does Live Tennis API have a free tier?

Yes — the free tier offers 30 requests per minute and 100 requests per day with no credit card required. It uses the same endpoints as all paid plans. Sign up here.

Is there a discount for Live Tennis API?

Yes — use code TENNMNDET888 for an automatic 10% discount on any paid subscription. See all plans and pricing here.

What historical data does Live Tennis API cover?

Point-by-point monthly packages from January 2023 to July 2026, plus a deep archive of 97,901 matches from 2013 to 2022 containing 14.3 million point states. Pricing starts from $29/mo with one-off packages available.

Does Live Tennis API include shot-level data?

Yes — through the Match Charting Project: 11,822 charted matches and 1,875,132 points across both tours, refreshed daily. It is a community-charted dataset, not a complete record of every match.

What are Break Point Alerts?

Break Point Alerts fire the instant a point commits, delivering live win-probability and a swing score. The free tier covers a useful subset; Alerts Pro at $9.99/mo covers every break point. You can also receive alerts in Discord via the free Discord app. Learn more here.

Are there SDKs available for Live Tennis API?

Yes — official typed Python (livetennisapi-python) and JavaScript (livetennisapi-js) clients are available on GitHub, MIT-licensed and free. Starter kits are also included so you can ship in minutes.

Can AI agents use Live Tennis API?

Yes — Live Tennis API provides a Model Context Protocol (MCP) endpoint so AI agents and assistants can query live tennis data directly without additional glue code. It is free to connect and uses your existing API key.

Is there a free academic dataset?

Yes — a point-by-point dataset covering ATP, WTA, Challenger and ITF from 2023 is available free for non-commercial academic research and teaching, with a citable DOI. No subscription required.

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Data figures and pricing accurate as of September 2026. Always verify current plans at livetennisapi.com. Partner discount applied automatically with code TENNMNDET888.

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