Starlight Riches

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James Monk, founder of sports data and streaming provider Catalist Sports, has witnessed that dependence directly. Catalist supplies ITF tennis data to Kalshi and Polymarket and has an exclusive US sports-streaming agreement with Kalshi.

The company must also provide data to the firms making markets on those events.

“If we just sold the data to Kalshi in order to list the markets but no one was coming in and placing liquidity, there’s no point in them listing the markets,” Monk said. “We also need to supply the data to the market makers to inform their models.”

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The research also identified content that associates betting with investments and the possibility of income.

In one of his Instagram stories, speaking directly to the camera, Pedro (a fictitious name for a “professional gambler”) shares a “unique opportunity”. He says that he is going to release a “super promotion for a premium group, which has higher odds”.

The normal price for access to the Telegram group would be BRL397 ($77.18) per month. But, exclusively on that day, he would release both groups together for “only BRL14.91 per month on the annual plan”. This group is the main product sold by Pedro, where he publishes sports predictions, tips on betting operators and higher-value betting odds.

What is Starlight Riches?

The company has also pursued partnerships outside the normal financial media. Its deals include relationships with major sports organizations and entertainment properties, signaling efforts to integrate prediction markets into mainstream content and information services. 

The conclusion of the Yahoo Finance deal comes as there is more talk about the use of prediction market data in journalism. Operators such as Polymarket and rival Kalshi have touted their markets as a way to get real-time information on how likely future events are to occur. 

However, some media industry observers have questioned whether trading activity can reliably stand in for broader public opinion. There are also concerns among critics over the growing links between news organizations and prediction platforms.