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Add Live Tennis API to Prediction Markets (#565)

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@@ -551,6 +551,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [Oracle3](https://github.com/YichengYang-Ethan/oracle3) - `Python` - Autonomous trading agent for Kalshi, Polymarket, and Solana — Wang Transform pricing (calibrated on 291k resolved contracts) drives eight constraint-based arbitrage strategies and Kelly-sized model trades.
- [marketlens](https://github.com/marketlenstrade/marketlens-python) - `Python` `MCP` - Tick-level Polymarket order book history with replay and a backtesting engine simulating queue priority, latency, and slippage.
- [polymarket-bot-lab](https://github.com/oraclemangle/polymarket-bot-lab) - `Python` - Open-sourced research lab of 11 candidate Polymarket trading bots (weather, sports, longshot fades, maker, whale-flow) with a shared CLOB/backtest framework, ADR decision log, and honest paper/live results. Companion free dataset: [polymarket-canary-tape](https://huggingface.co/datasets/oraclemangle/polymarket-canary-tape) (300M+ events, CC-BY-4.0).
- [Live Tennis API](https://livetennisapi.com) - `REST` `WebSocket` `MCP` - Real-time tennis scores, serving and break-point state, and model win probabilities for pricing tennis event markets, plus H2H, rankings and a 1968-2022 point-by-point archive; free tier. [GitHub](https://github.com/livetennisapi/livetennisapi-mcp)
## Calendars & Market Hours