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With the additional oracle, Polymarket's ambitions are revealed.

CN
Odaily星球日报
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19 hours ago
AI summarizes in 5 seconds.

Original | Odaily Planet Daily (@OdailyChina)

Author|Azuma (@azuma_eth)

On the evening of April 2, the leading prediction market Polymarket officially announced the integration of oracle service Pyth Network, which will become the settlement data source for a new batch of prediction events related to traditional assets on Polymarket.

According to statements from Polymarket and Pyth Network, this batch of events will initially cover commodities such as gold, silver, WTI crude oil, and natural gas, over a dozen U.S. stocks including Nvidia, Apple, Tesla, Coinbase, and Palantir, as well as major stock indices and some exchange-traded funds (ETFs)—for example, "Will gold rise or fall this hour?" and "Will silver be above or below the target price at a certain point in time?"...

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

Polymarket's product manager Mustafa Aljadery stated in a declaration: "Millions of dollars in prediction outcomes often depend on a single price point, so it is crucial to ensure the absolute accuracy of data sources. Pyth Network provides this assurance, allowing Polymarket to further expand into high-risk financial markets."

The Path of Oracle Expansion for Polymarket

This is not Polymarket's first expansion of oracle services.

In its early stages, Polymarket primarily relied on UMA's Optimistic Oracle mechanism. UMA's logic is essentially a "social consensus oracle" — proposers submit results, challengers initiate disputes, and voters ultimately decide. This mechanism is very suitable for subjective non-structured events that do not have a single standard answer, such as political elections, policy changes, and social hot topics.

However, subjective judgment often implies a space for controversy. Historically, Polymarket has had numerous discussions in the community regarding the risks of manipulation and fairness due to settlement disputes with UMA.

In September 2025, when Polymarket began to promote cryptocurrency price events, it urgently needed to introduce a more deterministic data source to reduce the possibility of human intervention. To this end, Polymarket chose to collaborate with Chainlink, combining Chainlink Data Streams (responsible for providing low-latency, time-stamped market prices) with Chainlink Automation (responsible for on-chain result settlement at predetermined times), allowing the BTC, ETH, and other cryptocurrency price event markets on Polymarket to settle automatically and quickly while enabling users to view relevant asset prices in real-time with low latency and verifiable accuracy.

In a sense, the integration with Chainlink was Polymarket's first extension of its reach from "social consensus prediction" to "automated price judgment," but Polymarket's goals clearly extend beyond the cryptocurrency market.

Compared to Chainlink, Pyth Network is characterized by its data coming directly from trading companies, exchanges, market makers, and banks worldwide, which actively participate in pricing in the global market. Pyth Pro obtains data from the highest quality data publishers in the network, including Jump Trading, Blue Ocean, LMAX, and Jane Street, among others. Perhaps considering its global market features, Polymarket ultimately opted for Pyth Network as the data source for traditional financial assets this time.

Insight into Polymarket's Ambitions

With the collaboration with Pyth Network finalized, Polymarket has formed a clear multi-level oracle architecture:

  • UMA: Non-standard event layer, responsible for political, social, breaking news, macro events;
  • Chainlink: Cryptocurrency asset layer, responsible for feeding prices of on-chain assets like BTC, ETH, and automating price settlements;
  • Pyth Network: Traditional finance layer, providing high-frequency price data for U.S. stocks, commodities, indices, and other traditional assets by institutions.

From representing non-standard events with UMA, to focusing on the native crypto market with Chainlink, and now concentrating on the global financial market with Pyth Network, every time Polymarket introduces a new oracle service, it is driving the platform towards broader markets. The extension of oracles is essentially the extension of "tradeable futures" — the more data sources there are, the more dimensions of the real world are included in the betting scope.

If this logic continues to develop, the markets that Polymarket can incorporate have almost no limits. Macroeconomic data, company financial reports, sports events, weather changes, and even the release of AI models can all be integrated through different oracles, as long as there are verifiable data sources, corresponding markets can be constructed. The uncertainty of the real world will be continuously dismantled into events that can be bet on.

From this perspective, the ultimate goal of Polymarket may be far beyond just a prediction market, but a "future trading platform" that covers all uncertainties. When all kinds of uncertain events can be unified under the same mechanism, anything can be bet on, and everything can also be priced. Oracles are just a technical extension, but what they point to is an emerging one-stop super platform that far exceeds everyone’s expectations.

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