What problem does it solve? Integrating decentralized oracle price data into Solana applications requires handling fixed-point price formats, confidence intervals, staleness checks, feed ID verification, and transaction construction, which is error-prone without a structured reference. ## Core Features & Use Cases - Off-Chain Price Fetching: Fetch and stream real-time prices via the Hermes API using @pythnetwork/hermes-client, with TypeScript client templates. - On-Chain Price Consumption: Read and validate prices in Anchor programs using pyth-solana-receiver-sdk, including staleness checks, confidence validation, and EMA prices. - Reference Data: Complete program IDs, price feed IDs for crypto, stablecoins, forex, commodities, and equities, plus a full SDK API reference and troubleshooting guide. - Use Case: Build a lending protocol that values SOL collateral by posting a Pyth price update and reading it on-chain with a 60-second staleness limit and 2% confidence bound. ## Quick Start Ask the AI to fetch the current SOL/USD price from Pyth Network and show how to consume it in an Anchor program.