Sports data API
Live Tennis API
Tennis API for ATP, WTA, Challenger and ITF with live point-by-point scores, match history, market odds, rankings and an AI win-probability field, over REST and WebSocket.
Facts verified against the provider's site on
Tone of public discussions, liked vs criticised points, reliability complaints; not enough public discussion to judge.
Computed from public data only; uptime and latency are not measured yet. Enterprise feeds that sell by contract score lower on transparency by design. How the score works
- Starting price
- $9.99/mo
- Free access
- Free tier
- Sports
- 1 (Tennis)
- Live data
- Yes
- Delivery
- Streaming (WebSocket)
- Discussions
- 8 threads
- GitHub adoption
- 80 repos
Best for
Tennis apps, dashboards and models needing live point-by-point scores and history across ATP, WTA, Challenger and ITF, with a permanent free tier.
Not ideal for
Projects needing other sports or free odds; odds and the WebSocket feed start on paid plans.
Limitations to check
- − Free plan limited to 100 requests per day and 30 per minute
- − Completed-match history starts at Basic ($9.99 per month)
- − Market prices, win probability and WebSocket feed need paid plans
- − Tennis only
- − Usage rights unknown; saved terms cover the affiliate programme only
Written from the provider's own pages (source).
Last checked 2026-11-03
Live Tennis API at a glance
- What is Live Tennis API best for?
- Tennis apps, dashboards and models needing live point-by-point scores and history across ATP, WTA, Challenger and ITF, with a permanent free tier. Not ideal for: Projects needing other sports or free odds; odds and the WebSocket feed start on paid plans.
- How much does Live Tennis API cost?
- The cheapest public paid plan of Live Tennis API is $9.99/mo. Listed plans: Basic $9.99/mo; Pro $29.99/mo; Ultra $99.99/mo.
- Does Live Tennis API have a free tier?
- Yes. Live Tennis API lists a free plan called "Free" (100 requests per day).
- What does Live Tennis API cover?
- Live Tennis API is a sports data api. Its sports: Tennis; data: Fixtures, Historical data, Odds, Play-by-play, Predictions, Results, Live scores, Team stats. Live / in-play data is offered.
- Does Live Tennis API have a WebSocket or streaming API?
- Yes. Live Tennis API pushes data continuously: WebSocket.
- What do developers say about Live Tennis API?
- Tennis feed (REST and WebSocket) with point-by-point scores, odds and win probability. Most mentions are vendor-authored issues and promotions. A few independent users say they use it for tennis models or a match-simulation app and find the data detailed, but there is no real feedback on price, reliability or latency.
- What are the alternatives to Live Tennis API?
- Close alternatives in the SportDex catalog: StatPal, Entity Sport, Cito API, Sportrix, Sportradar.
Commercial decision
Pricing & plan limits
| Plan | Price | Requests | What's included |
|---|---|---|---|
| Free | Free | 100 / day | Live scores, current matches, players, fixtures; 30 req/minsource |
| Basic | $9.99/mo | 1,000 / day | Adds completed-match history; annual $99source |
| Pro | $29.99/mo | 10,000 / day | Adds odds, events timeline, bulk history; annual $299source |
| Ultra | $99.99/mo | 500,000 / day | Adds WebSocket and webhooks, win probability, in-play stats; annual $999source |
docs_url inferred from site navigation (Docs link), not fetched. Also listed on RapidAPI, Apify, API.market. Quotas stated as of 2026-10-06.
Before choosing a paid plan, confirm
• What counts as one request (per call, per market, per region?)
• What happens when you exceed the quota: blocked or billed
• Whether live and historical data are on your plan
• Whether your use (public app, betting, resale) is licensed
The critical question
Data coverage
- Sports
- Tennis
- Data types
- FixturesHistorical dataOddsPlay-by-playPredictionsResultsLive scoresTeam stats
- Key competitions
- ATP, WTA, Challenger, ITFsource
- Competitions
- Not disclosed
- Live / in-play
- Yes
- Women's competitions
- Yes
- Betting markets
- moneyline
- Bookmaker regions
- Not disclosed
- Bookmakers
- Not disclosed
- History depth
- shot-level charting back to 1960 (11,822 matches, Ultra)
- Update frequency
- live
- Name languages
- Not disclosed
- ID mapping
- Not disclosed
Coverage often depends on the plan; confirm the exact league and season on your plan.
Before you build
Usage rights & access
- Commercial use
- Not disclosed
- Betting products
- Not disclosed
- Redistribution
- Not disclosed
- Storing data
- Not disclosed
- Attribution
- Not disclosed
- Logos & photos
- Not disclosed
- Who can buy
- Individuals, Companiessource
- Verification (KYC)
- Not required
- Not available in
- Not disclosed
- Only available in
- Not disclosed
Free key needs only email verification, no card
Developer-ready evaluation
Integration & documentation
- Protocols
- RESTWebSocketWebhooks
- Formats
- JSON
- Authentication
- api key
- SDKs
- Not disclosed
- OpenAPI spec
- Not disclosed
- Claimed latency
- Not disclosed
- Status page
- Not disclosed
- Sandbox / test keys
- Not disclosed
- Support
- Not disclosed
- SLA uptime
- Not disclosed
Preview brief
# Integration brief: Live Tennis API Goal: build a feature on Live Tennis API data. Use only the official documentation below as the source of truth. ## Known facts (from SportDex, verify before relying on them) - Website: https://livetennisapi.com - Docs: https://livetennisapi.com/docs - Sports: Tennis - Data: Fixtures, Historical data, Odds, Play-by-play, Predictions, Results, Live scores, Team stats - Protocols: REST, WebSocket, Webhooks; formats: json - Auth: api_key - Free plan: Free, 100 requests per day - Cheapest paid plan: $9.99/mo - Note: docs_url inferred from site navigation (Docs link), not fetched. Also listed on RapidAPI, Apify, API.market. Quotas stated as of 2026-10-06. ## Verify before writing code - whether commercial use is allowed on the plan you pick - exact endpoint paths, parameters and response fields (read the official docs, do not guess) ## Implementation rules - Keep the API key on the server (environment variable, backend route or edge function); never ship it to the browser. - Cache responses and respect rate limits; count how many requests each screen triggers. - Handle errors explicitly: invalid key, quota exceeded (429), missing fields, empty fixtures, timeouts. - Start with one demo request and log the raw response before building UI on assumed field names.
Data quality signals
Data source & company
- Official partners
- Not disclosed
- How data is collected
- Not disclosed
- Certifications
- Not disclosed
- Payment methods
- Not disclosed
- Minimum contract
- Not disclosed
- Country
- Not disclosed
- Founded
- Not disclosed
Reddit · Hacker News · Stack Overflow · GitHub · YouTube
What developers say
Tennis feed (REST and WebSocket) with point-by-point scores, odds and win probability. Most mentions are vendor-authored issues and promotions. A few independent users say they use it for tennis models or a match-simulation app and find the data detailed, but there is no real feedback on price, reliability or latency.
Praised for
- Point-by-point data and win probability
- MCP server and open-source clients
Complaints
Nothing specific.
Our summary of public discussions, not a rating. Vendor posts are not counted as user opinion.
Discussions
- I need the real-time positions of the players and the ball, both live and in replays, for my appr/sportsanalytics · 2026-10
- Found a pretty solid tennis APIr/algobetting · 2026-08
- Built a low-latency live tennis data feed (websocket). Looking for a few serious quants to test it and give feedback.r/algobetting · 2026-05
- How much does point-by-point data actually improve a tennis prediction model?r/sportsanalytics · 2026-08
- Title: Anyone using live tennis data for analytics?r/sportsanalytics · 2026-08
- How much does latency matter in live sports analytics?r/sportsanalytics · 2026-08
- Open-source Python utility for tracking live tennis scores and match data via APIr/sportsbetting · 2026-09
- Built a low-latency live tennis data feed (websocket). Looking for a few serious quants to test it and give feedback.r/sportsbook · 2026-05
Open-source projects using it
Videos
- Megépítettem a saját sportolókövető alkalmazásomat – Courtboard bemutató. Használd te is!Pintér Zsolt - AI magyarul · 2026-08
- Connect AI to Real-Time Match Data: livetennisapi-mcpLookOnThisGit · 2026-07
- Live Tennis API — Real-Time Tennis Scores over REST & WebSocketLive Tennis API · 2026-07
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Evidence & transparency
Official sources
Facts were extracted from the provider's own pages on 2026-11-03. Empty fields mean the provider does not say, not that the feature is missing. How we know