Original Title: 《Polymarket’s Ambition Exposed as It Adds More Oracle Feeds》

Original Author: Azuma, Odaily Planet Daily

On the evening of April 2, prediction-market leader Polymarket officially announced that it will integrate oracle service Pyth Network, which will become the settlement data source for a new batch of traditional-asset-related prediction events newly launched by Polymarket.

According to statements from Polymarket and Pyth Network, this batch of events will first cover commodities such as gold, silver, WTI crude oil, and natural gas, including a dozen or so U.S. stocks such as Nvidia, Apple, Tesla, Coinbase, and Palantir, as well as major stock indexes and certain exchange-traded funds (ETFs) traded on some platforms—for example, “Will gold be up or down this hour?”, “Will silver be higher or lower than a target price before a certain point in time?”…

Pyth Network will provide real-time price data via WebSocket. Polymarket will sample this data every second and publish it as real-time charts, enabling traders to continuously see where the market stands relative to their own positions.

In its statement, Polymarket Product Lead Mustafa Aljadery said, “The results of predictions worth millions of dollars often depend on a single price point, so it’s essential to ensure the absolute accuracy of the data source. Pyth Network provides this assurance, and with it, Polymarket can further expand into higher-risk financial markets.”

Polymarket’s Path to Expanding Oracles

This is not Polymarket expanding its oracle service.

Polymarket’s early days mainly relied on UMA’s Optimistic Oracle mechanism. UMA’s logic is essentially a “social-consensus oracle”—the proposer submits a result, the challenger raises a dispute, and voters ultimately make the ruling. This mechanism is very well suited to unstructured events with strong subjectivity and no single standard answer, such as political elections, policy changes, social trends, and social hot topics.

However, subjective judgment also often means there is room for disputes. Historically, Polymarket has repeatedly sparked community discussions about manipulation risk and fairness due to settlement controversies involving UMA.

In September 2025, when Polymarket began heavily pushing for cryptocurrency price-up-and-down events, it urgently needed to introduce a more deterministic data source to reduce the possibility of human interference. To that end, Polymarket at the time chose to partner with Chainlink, combining Chainlink Data Streams (responsible for providing low-latency market prices with timestamps) and Chainlink Automation (responsible for executing on-chain settlement of results at pre-set times). This allows markets for crypto-asset price-up-and-down events on Polymarket—such as BTC and ETH—to settle automatically and quickly, while also allowing users to view low-latency, verifiable prices for related assets in real time.

In a sense, integration with Chainlink was Polymarket’s first step in extending its reach from “socialized consensus prediction” to “automated price judgment,” but Polymarket’s goals are clearly not limited to the cryptocurrency market.

Compared with Chainlink, Pyth Network’s distinguishing feature is that its data is directly provided by trading firms, exchanges, market makers, and banks across the globe. These entities actively participate in pricing in global markets. Meanwhile, Pyth Pro obtains data from the network’s highest-quality data publishers, including Jump Trading, Blue Ocean, LMAX, Jane Street, and others. Perhaps because of its global market characteristics, Polymarket ultimately selected Pyth Network as its data source for traditional financial assets this time.

Polymarket’s Peeking at Its Ambition

With its partnership with Pyth Network finalized, Polymarket has formed a clear multi-layer oracle architecture:

· UMA: non-standard event layer, responsible for politics, society, breaking news, and macro events;

· Chainlink: crypto-asset layer, responsible for feeding prices of on-chain assets such as BTC and ETH, as well as automated price settlement;

· Pyth Network: traditional-finance layer, where institutions provide high-frequency traditional asset price data such as U.S. stocks, commodities, and indexes.

From UMA representing non-standard events, to Chainlink focusing on crypto-native markets, to Pyth Network now focusing on global financial markets—every time Polymarket introduces a new oracle service, it is pushing the platform toward broader markets. Expanding oracles is, in essence, expanding “tradeable futures”—the more data sources there are, the more dimensions of the real world get pulled into the scope of what can be bet on.

If it continues to develop along this logic, there may be virtually no limit to the markets Polymarket can incorporate in the future. Macro-economic data, company earnings reports, sports events, changes in weather, and even AI model releases can all be connected through different oracles. As long as there is a verifiable data source, the corresponding markets can be built. The uncertainty of the real world will be continuously broken down into events that can be bet on.

From this perspective, Polymarket’s endgame may be far more than a simple prediction market—it may be a “future trading platform” that can cover all uncertainties. When all kinds of uncertain events can be uniformly brought into the same mechanism, then everything can be bet on, and everything can be priced. Oracles are only a technical expansion, but what they point to is a one-stop super platform that is coming into view—far beyond what anyone predicted.

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