YieldStack VS Live Tennis API

YieldStack's answer

The largest CRE Lenders in the USA

YieldStack's answer

AI integrations supporting the platform’s workflows.

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

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:

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 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:

• 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

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:

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

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.

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.