Low-Latency Financial Data for DeFi Developers

**Polymarket has integrated Pyth Pro to power its new traditional asset markets**, enabling prediction markets on major equity index ETFs, commodities, and single-name US equities. **How it works:** - Pyth Pro delivers real-time price data via WebSocket - Polymarket samples data every second and publishes a live chart showing the "price to beat" - Traders see exactly where the market stands relative to their position in real time **Why Pyth Pro:** When millions of dollars are at stake, Polymarket chose Pyth Pro for its accurate, transparent, and tamper-resistant data quality. The integration gives traders institutional-grade price feeds for traditional assets within the prediction market platform. This marks a significant expansion for Polymarket beyond crypto-native markets, bringing traditional finance assets into its prediction market ecosystem. [Read the full announcement](https://www.pyth.network/blog/polymarket-taps-pyth-pro-to-power-its-traditional-asset-markets?utm_source=organic_social&utm_medium=x_post&utm_campaign=2604_post&utm_term=polymarket)

Pyth Network has launched **Pyth Terminal**, a new platform for exploring oracle data feeds in real-time. **Key Features:** - Access to live data feeds updating every second - Direct verification of market data - Available at [pythdata.app/explore](https://pythdata.app/explore) The terminal emphasizes transparency with the principle "Don't trust. Verify," allowing users to independently confirm the accuracy of price feeds. This builds on Pyth's existing infrastructure that provides real-time data for over 2,500 assets across various markets. The launch gives developers and traders a direct window into the oracle network's data streams, supporting the verification of information that powers decentralized applications and smart contracts.

A significant expansion of tokenized traditional assets is launching, bringing equity index ETFs, commodities, and single-name US stocks onchain. **Assets at Launch:** - Major equity index ETFs - Commodities: Gold, Silver, WTI, Natural Gas - Single-name US equities: TSLA, NVDA, PLTR, MSFT - Daily up/down markets and daily close contracts The platform will feature **100+ assets on day one**, with plans to expand to over a thousand by year end. Pricing data comes from an institutional network that has secured over $2.7T in transaction volume across onchain and offchain markets.

Pyth Network has released **Pyth Pro for Agents**, making its oracle services accessible across multiple AI development platforms. **Available on:** - Claude MCP registry - Cursor plugin directory - Glama - Solana AI ecosystem - npm as [@pyth-network/mcp-server](https://www.npmjs.com/package/@pyth-network/mcp-server) - [GitHub repository](https://github.com/pyth-network/pyth-crosschain/tree/main/apps/mcp) The integration allows AI agents to access Pyth's oracle data directly through these platforms, expanding the network's reach into the growing AI agent ecosystem.

**The Challenge of Price Discovery** Bootstrapping a new market presents a fundamental challenge: establishing price without existing reference points or anchors. **Building 24/7 Market Infrastructure** At DAS, @mdomcahill explained how continuous markets like oil achieve price discovery by: - Aggregating signals from traditional trading venues - Incorporating data from emerging platforms - Synthesizing derivatives market information This multi-source approach helps create reliable pricing in markets that operate around the clock, where no single venue provides complete price information.