Live Tennis API VS YieldStack

YieldStack's answer:

The largest CRE Lenders in the USA

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

YieldStack's answer:

AI integrations supporting the platform’s workflows.

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.

YieldStack's answer:

YieldStack combines AI-assisted lender matching with hands-on commercial mortgage brokerage. Borrowers submit once, compare financing options, and work with a team that handles structuring, negotiation, and closing coordination. Borrowers approve lender outreach, with no upfront fees and a broker fee paid only at closing.

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%.

YieldStack's answer:

YieldStack helps borrowers evaluate the whole financing offer: rate, leverage, fees, reserves, prepayment terms, and closing requirements. Its platform organizes the process, while its brokerage team helps borrowers find suitable lenders and move the deal forward. One submission gives borrowers a coordinated financing process without an upfront brokerage fee.

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.

YieldStack's answer:

Commercial real estate investors, developers, operators, and mortgage brokers seeking bridge, DSCR, fix-and-flip, construction, multifamily, and permanent financing across the United States.

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.

YieldStack's answer:

Rommin Adl and Daniel Chesney founded YieldStack to simplify commercial real estate financing. The platform brings deal preparation, lender matching, offer comparison, and closing coordination into one workflow, combining AI-assisted analysis with human brokerage expertise.