What problem does it solve? Developers building DeFi applications on Solana need accurate, low-latency oracle price data, but integrating Pyth involves understanding fixed-point price formats, confidence intervals, feed IDs, staleness checks, and Anchor CPI patterns that are easy to get wrong and costly when mishandled. ## Core Features & Use Cases - Off-Chain Price Fetching: Fetch and stream real-time prices via the Hermes API using @pythnetwork/hermes-client, with support for multiple feeds and SSE streaming. - On-Chain Anchor Integration: Consume prices in Solana programs with pyth-solana-receiver-sdk, including staleness checks, feed ID verification, and confidence validation. - Production Templates & References: Ready-to-use TypeScript client and Anchor oracle templates, complete program addresses, price feed ID tables, API reference, and a troubleshooting guide. - Use Case: Build a lending protocol that values SOL collateral on-chain by posting a Pyth price update and reading it in an Anchor instruction with a 60-second staleness limit and 2% confidence bound. ## Quick Start Ask the agent to fetch the current SOL/USD price from Pyth and show how to consume it in an Anchor program with staleness and confidence validation.