Software Alternatives & Startups

Live Tennis API VS Diffyn

Compare Live Tennis API VS Diffyn and see what are their differences

Live Tennis API

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

Rating
0 reviews
Pricing
Freemium $9.99 / Monthly (Basic — history + point-by-point, 1k req/day)
Diffyn

The modern platform for creating, sharing, and collaborating on AI prompts. Advanced version control and real-time testing.

Rating
0 reviews
Pricing
Freemium $9.99 / Monthly (Starter)
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Base details

Website, pricing, platforms and company facts side by side.

Live Tennis API
Diffyn
Website livetennisapi.com diffyn.com
Pricing
Freemium $9.99 / Monthly (Basic — history + point-by-point, 1k req/day) Official pricing
Freemium $9.99 / Monthly (Starter)
Platforms
REST API Python JavaScript Node JS SaaS WebSocket +3
Browser
Company Startup from the United States · 1 - 9 employees · 2026 —
Listed in

About Live Tennis API and Diffyn

In their own words, as submitted to SaaSHub.

Live Tennis API
Diffyn

Live Tennis API is a real-time tennis data API for developers, traders and analysts. One REST + WebSocket feed covers ATP, WTA, Challenger and ITF — singles and doubles. What you get Live scores updated point by point, with full match state (server, game and set score, tiebreaks) Fixtures, player...

Read more about Live Tennis API

No description of Diffyn yet.

Features and specs

What each product offers, as listed by its team.

Live Tennis API 12 features
Diffyn 3 features
  • Coverage
    ATP, WTA, Challenger and ITF — singles and doubles
  • Live scores
    Point-by-point, sub-second, with server, game/set score and tiebreak state
  • Streaming
    WebSocket push feed and webhooks for live matches (Ultra)
  • Win-probability
    Model win-probability and analysis on every live point (Ultra)
  • Market odds
    Match-winner market odds (Pro)
  • Match history
    Completed results, events and timeline; point-by-point match tape back to 2023
  • In-play statistics
    Aces, double faults, serve split, hold/break, break points (Ultra)
  • Rankings
    As-of-match ATP/WTA, ITF and UTR rankings for backtests
  • Shot-level charting
    Serve direction, rally construction and serve/return charting for 11,000+ matches back to 1960
  • Developer tooling
    OpenAPI 3.1 spec, official Python and JavaScript SDKs, MCP server for AI agents
  • Rate limits
    Free 30 req/min · 100/day up to Ultra 600 req/min · 500k/day
  • Format
    JSON over REST, UTC timestamps, read-only, bearer-key auth
  • Version Control
    Manage changes with visibility on all versions to enhance traceability for prompt for teams and professionals.
  • Visualization
    Side-by-Side Viewer with diff highlighting on changes made and comparison of outputs across different LLM models.
  • Advanced Analytics
    OpenAI powered assistant to provide analyisis on the test outputs and improvment. Gemini powered evaluation on cost efficiency, readability metrics

Analysis

An editorial look at what each product does well and who it suits.

Live Tennis API
Diffyn

No analysis of Live Tennis API yet.

Overall verdict

  • I don't have verified, up-to-date information about Diffyn (diffyn.com) to make a confident assessment of its quality, features, or reliability. I'd recommend researching directly through the website, checking independent reviews, and testing any free trial before committing.

Why this product is good

  • I don't have reliable data on this specific product to list genuine advantages.
  • Product offerings and quality can change over time, so real-time verification is important.
  • Independent user reviews, G2/Capterra ratings, or trusted tech publications would provide more accurate insight.

Recommended for

  • Users who verify through independent research before adoption.
  • Those who prioritize checking recent reviews and testing free trials.
  • Anyone needing current, verified information rather than assumptions.

Videos

Walkthroughs and reviews on video.

Live Tennis API 1 video + Add
Diffyn 1 video + Add

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

The Ultimate Prompt Tool for Creators – Visualize & Organize with Diffyn

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Live Tennis API
Diffyn
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
AI
100% 100%

Questions & Answers

As answered by people managing Live Tennis API and Diffyn.

What makes your product unique?

Live Tennis API's answer

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.

Diffyn's answer:

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

Why should a person choose your product over its competitors?

Live Tennis API's answer

  • 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%.

Diffyn's answer:

Diffyn is the platform that specializes on both change management and multi-model analysis.

Which are the primary technologies used for building your product?

Live Tennis API's answer

  • 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

Diffyn's answer:

React, Next.js, POSTGRESQL

How would you describe the primary audience of your product?

Live Tennis API's answer

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.

Diffyn's answer:

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

What's the story behind your product?

Live Tennis API's answer

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.

Diffyn's answer:

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.

User comments

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