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Officially verified details Live Tennis API

Real-time tennis data and model analysis over REST + WebSocket. ATP, WTA, Challenger, ITF — singles and doubles.

Live Tennis API

Live Tennis API Reviews and Details

This page is designed to help you find out whether Live Tennis API is good and if it is the right choice for you.

Screenshots and images

  • Live Tennis API
    Image date //
    2026-09-02
  • Live Tennis API
    Image date //
    2026-09-02
  • Live Tennis API
    Image date //
    2026-09-02
  • Live Tennis API
    Image date //
    2026-09-02

Features & Specs

  1. Coverage

    ATP, WTA, Challenger and ITF — singles and doubles

  2. Live scores

    Point-by-point, sub-second, with server, game/set score and tiebreak state

  3. Streaming

    WebSocket push feed and webhooks for live matches (Ultra)

  4. Win-probability

    Model win-probability and analysis on every live point (Ultra)

  5. Market odds

    Match-winner market odds (Pro)

  6. Match history

    Completed results, events and timeline; point-by-point match tape back to 2023

  7. In-play statistics

    Aces, double faults, serve split, hold/break, break points (Ultra)

  8. Rankings

    As-of-match ATP/WTA, ITF and UTR rankings for backtests

  9. Shot-level charting

    Serve direction, rally construction and serve/return charting for 11,000+ matches back to 1960

  10. Developer tooling

    OpenAPI 3.1 spec, official Python and JavaScript SDKs, MCP server for AI agents

  11. Rate limits

    Free 30 req/min · 100/day up to Ultra 600 req/min · 500k/day

  12. Format

    JSON over REST, UTC timestamps, read-only, bearer-key auth

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Questions & Answers

As answered by people managing Live Tennis API.
  1. What makes Live Tennis API unique?

    Most sports-data APIs hand you a score every few seconds. Live Tennis API hands you the match point by point — server, game and set state, tiebreaks — with a model win-probability on every point, over one REST + WebSocket feed.

    It covers the whole professional tour: ATP, WTA, Challenger and ITF, singles and doubles, not only the main-tour matches. And the same key opens the historical layer: point-by-point tapes back to 2023, match-winner market odds, as-of-match rankings for backtests, and shot-by-shot charting for 11,000+ matches going back to 1960.

  2. Why should a person choose Live Tennis API over its competitors?

    • Depth: point-level live data, in-play statistics and win-probability, not just scores.
    • Coverage: ATP, WTA, Challenger and ITF — including the lower tiers many feeds skip.
    • Price: a free tier with no card, paid plans from $9.99/month, and Ultra at $99.99/month with 500k requests/day and the WebSocket feed.
    • Developer experience: OpenAPI 3.1 spec, official Python and JavaScript SDKs, an MCP server for AI agents, instant keys, and upgrades prorated in place on the same key.
    • Honesty about coverage: a /history/coverage endpoint states the measured completeness per tour and season instead of promising 100%.
  3. How would you describe the primary audience of Live Tennis API?

    Developers and small teams building tennis products: live-score apps and dashboards, betting and trading models, fantasy and prediction tools, and AI agents that need structured tennis data.

    A second group is researchers and quants who want point-by-point history, as-of-match rankings and shot-level charting for backtests.

    The pricing is aimed at individual developers and startups rather than broadcasters.

  4. What's the story behind Live Tennis API?

    Live Tennis API started in 2026 as the data layer behind the founder's own tennis trading research: a point-by-point live feed with a win-probability model for every professional match, including Challenger and ITF.

    Rather than keep it internal, the feed, the model and the historical tape were opened as a public API in July 2026, with a free tier so developers can try it without a card. It is operated by JSB Holdings LLC, a small Delaware company.

  5. Which are the primary technologies used for building Live Tennis API?

    • Python (Flask, SQLAlchemy, scikit-learn) for the API and the win-probability model
    • PostgreSQL for match, point and odds storage
    • Redis and Centrifugo for the real-time WebSocket push feed
    • Cloudflare in front of the API; Stripe for billing
    • OpenAPI 3.1 spec, with official Python and JavaScript SDKs and an MCP server

Videos

Live Tennis API — Real-Time Tennis Scores over REST & WebSocket

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Is Live Tennis API good? This is an informative page that will help you find out. Moreover, you can review and discuss Live Tennis API here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.