CZ:- As prediction markets rise in popularity, Binance founder Changpeng “CZ” Zhao and BNB Chain ecosystem players are exploring a dedicated oracle layer tailored to the growing needs of prediction markets.
This comes as prediction markets like Kalshi – $5B after recent funding – and Polymarket – valued at $12–$15B – have surged to multi-billion valuations, with increasing institutional interest.
However, as they continue to expand in terms of categories – from sports to muuic – their limitations have also become clearer. At the center of this technical bottleneck is the oracle layer, the mechanism that feeds real-world outcomes to on-chain markets.
As per the announcement made on X, CZ and several BNB Chain ecosystem investors are evaluating opportunities to back or incubate a prediction-market-specific oracle network, one capable of delivering faster and more contextual data resolution than existing systems.
Just quickly reviewed more than 20 prediction markets startup projects on #BNB Chain.
There might be an opportunity for someone to build a prediction market specific oracle.
Not sure how big the TAM is, but might worth a try.
— CZ 🔶 BNB (@cz_binance) October 17, 2025
The Oracle Problem in Prediction Markets
Prediction markets depend on timeliness anda slow oracle breaks the illusion of real-time forecasting
Existing oracle players still “lag” for prediction markets. Price-feed oracles such as Chainlink, RedStone, Pyth, Band are built for continuous numeric data. Prediction markets also need subjective adjudication, appeals, bonds, liveness windows – features not native to price oracles.
Further, UMA’s Optimistic Oracle (OO) – the same infrastructure that powers Polymarket is decentralized and transparent but slow that could go as much as 24–48h in terms of resolution. It still remains vulnerable with low-liquidity, low-attention markets – an example that came to fore during the Ukraine Mineral Deal market.
This is what Ella Zhang, Head of YZi Lab, sees as a key gap in the market. In a X Post, she wrote, “There’s a clear opportunity for domain-specific or AI-assisted oracles that can deliver faster, contextual resolution.
She also said that “Despite Polymarket’s dominance, the sector remains early. Prediction protocols still feel like DeFi dApps – clunky, wallet-heavy, and intimidating for casual users. The next wave, according to Ella, “will abstract crypto complexity away entirely through account abstraction and gasless UX, making betting as intuitive as posting on social media.”
What BNB Ecosystem is Looking For
For the solution, the network wants a hybrid system that pairs fast, optimistic finality for most markets with a decentralized, auditable dispute backstop for contentious cases.
As per the blog, the oracle should include an event-resolution engine (binary, multi-choice, numeric, batch), dispute infrastructure (bonds, liveness windows, evidence/appeal flows), AI-assisted proposing and provenance logs, a hybrid controller to route markets to the right feed or adjudication path, and gas-efficient on-chain delivery on BSC/opBNB.
Other Articles...
For the oracle, it is targeting performance of ≥95% of markets finalized within two hours, contested cases resolved in days, and scale to tens of thousands of active markets and thousands of daily requests without degradation.
Thus, if the oracle bottleneck is solved, the next generation of prediction platforms could evolve and exapnd into more reliable full-stack forecasting networks.
Also Read: Ethereum Researcher Joins Stripe’s Tempo
Sneha Agrawal 
Share