---
name: pyth
creator: raunit-dev
description: Complete guide for Pyth Network - decentralized oracle providing real-time price feeds for DeFi. Covers price feed integration, confidence intervals, EMA prices, on-chain CPI, off-chain fetching, and streaming updates for Solana applications.
---

# Pyth Network Development Guide

Pyth Network is a decentralized oracle providing real-time price feeds for cryptocurrencies, equities, forex, and commodities. This guide covers integrating Pyth price feeds into Solana applications.

## Overview

Pyth Network provides:

- **Real-Time Price Feeds** - 400ms update frequency with pull oracle model
- **Confidence Intervals** - Statistical uncertainty bounds for each price
- **EMA Prices** - Exponential moving average prices (~1 hour window)
- **Multi-Asset Support** - Crypto, equities, FX, commodities, indices
- **On-Chain Integration** - CPI for Solana programs
- **Off-Chain Integration** - HTTP and WebSocket APIs via Hermes

## Program IDs

| Program | Address | Description |
|---------|---------|-------------|
| Solana Receiver | `rec5EKMGg6MxZYaMdyBfgwp4d5rB9T1VQH5pJv5LtFJ` | Posts price updates to Solana |
| Price Feed | `pythWSnswVUd12oZpeFP8e9CVaEqJg25g1Vtc2biRsT` | Stores price feed data |

**Deployed on**: Solana Mainnet, Devnet, Eclipse Mainnet/Testnet, Sonic networks

## Popular Price Feed IDs

| Asset | Hex Feed ID |
|-------|-------------|
| BTC/USD | `0xe62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43` |
| ETH/USD | `0xff61491a931112ddf1bd8147cd1b641375f79f5825126d665480874634fd0ace` |
| SOL/USD | `0xef0d8b6fda2ceba41da15d4095d1da392a0d2f8ed0c6c7bc0f4cfac8c280b56d` |
| USDC/USD | `0xeaa020c61cc479712813461ce153894a96a6c00b21ed0cfc2798d1f9a9e9c94a` |
| USDT/USD | `0x2b89b9dc8fdf9f34709a5b106b472f0f39bb6ca9ce04b0fd7f2e971688e2e53b` |

Full list: [https://pyth.network/developers/price-feed-ids](https://pyth.network/developers/price-feed-ids)

## Quick Start

### Installation

```bash
# TypeScript/JavaScript
npm install @pythnetwork/hermes-client @pythnetwork/pyth-solana-receiver

# Rust (add to Cargo.toml)
# pyth-solana-receiver-sdk = "0.3.0"
```

### Fetch Price (Off-Chain)

```typescript
import { HermesClient } from "@pythnetwork/hermes-client";

const client = new HermesClient("https://hermes.pyth.network");

const priceIds = [
  "0xe62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43", // BTC/USD
];

const priceUpdates = await client.getLatestPriceUpdates(priceIds);

for (const update of priceUpdates.parsed) {
  const price = update.price;
  const displayPrice = Number(price.price) * Math.pow(10, price.expo);
  console.log(`Price: $${displayPrice.toFixed(2)}`);
  console.log(`Confidence: ±${Number(price.conf) * Math.pow(10, price.expo)}`);
}
```

### Use Price On-Chain (Rust/Anchor)

```rust
use anchor_lang::prelude::*;
use pyth_solana_receiver_sdk::price_update::PriceUpdateV2;

#[derive(Accounts)]
pub struct UsePrice<'info> {
    pub price_update: Account<'info, PriceUpdateV2>,
}

pub fn use_price(ctx: Context<UsePrice>) -> Result<()> {
    let price_update = &ctx.accounts.price_update;
    let clock = Clock::get()?;

    // Get price no older than 60 seconds
    let price = price_update.get_price_no_older_than(
        &clock,
        60, // max age in seconds
    )?;

    msg!("Price: {} × 10^{}", price.price, price.exponent);
    msg!("Confidence: ±{}", price.conf);

    Ok(())
}
```

---

## Core Concepts

### Price Structure

Each Pyth price contains:

| Field | Type | Description |
|-------|------|-------------|
| `price` | i64 | Price value in fixed-point format |
| `conf` | u64 | Confidence interval (standard deviation) |
| `expo` | i32 | Exponent for scaling (e.g., -8 means divide by 10^8) |
| `publish_time` | i64 | Unix timestamp of price |

**Converting to display price:**
```typescript
const displayPrice = price * Math.pow(10, expo);
// Example: price=19405100, expo=-2 → $194,051.00
```

### Confidence Intervals

Confidence intervals represent the uncertainty in the reported price:

```typescript
// Price is $50,000 ± $50 means:
// - 68% chance true price is between $49,950 - $50,050
// - Use confidence for risk management

const price = 50000;
const confidence = 50;

// Safe lower bound (conservative)
const safeLowerBound = price - confidence;

// Safe upper bound (conservative)
const safeUpperBound = price + confidence;
```

**Best Practice**: Reject prices with confidence > 2% of price:

```typescript
const maxConfidenceRatio = 0.02; // 2%
const confidenceRatio = confidence / Math.abs(price);

if (confidenceRatio > maxConfidenceRatio) {
  throw new Error("Price confidence too wide");
}
```

### EMA Prices

Exponential Moving Average prices smooth out short-term volatility:

- ~1 hour averaging window (5921 Solana slots)
- Weighted by inverse confidence (tight confidence = more weight)
- Good for: liquidations, collateral valuation
- Available as `ema_price` and `ema_conf`

```typescript
// Use EMA for less volatile applications
const emaPrice = priceUpdate.emaPrice;
const emaConf = priceUpdate.emaConf;
```

---

## Off-Chain Integration

### Hermes Client

Hermes is the recommended way to fetch Pyth prices off-chain.

**Public Endpoint**: `https://hermes.pyth.network`

> For production, get a dedicated endpoint from a Pyth data provider.

### Fetching Latest Prices

```typescript
import { HermesClient } from "@pythnetwork/hermes-client";

const client = new HermesClient("https://hermes.pyth.network");

// Single price
const btcPrice = await client.getLatestPriceUpdates([
  "0xe62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43"
]);

// Multiple prices in one request
const prices = await client.getLatestPriceUpdates([
  "0xe62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43", // BTC
  "0xff61491a931112ddf1bd8147cd1b641375f79f5825126d665480874634fd0ace", // ETH
  "0xef0d8b6fda2ceba41da15d4095d1da392a0d2f8ed0c6c7bc0f4cfac8c280b56d", // SOL
]);
```

### Streaming Real-Time Updates

```typescript
import { HermesClient } from "@pythnetwork/hermes-client";

const client = new HermesClient("https://hermes.pyth.network");

const priceIds = [
  "0xe62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43"
];

// Subscribe to real-time updates via SSE
const eventSource = await client.getPriceUpdatesStream(priceIds, {
  parsed: true,
});

eventSource.onmessage = (event) => {
  const data = JSON.parse(event.data);
  console.log("Price update:", data);
};

eventSource.onerror = (error) => {
  console.error("Stream error:", error);
  eventSource.close();
};

// Close when done
// eventSource.close();
```

### Posting Prices to Solana

```typescript
import { PythSolanaReceiver } from "@pythnetwork/pyth-solana-receiver";
import { HermesClient } from "@pythnetwork/hermes-client";
import { Connection, Keypair } from "@solana/web3.js";

const connection = new Connection("https://api.mainnet-beta.solana.com");
const wallet = Keypair.fromSecretKey(/* your key */);

const hermesClient = new HermesClient("https://hermes.pyth.network");
const pythReceiver = new PythSolanaReceiver({ connection, wallet });

// Fetch price update data
const priceUpdateData = await hermesClient.getLatestPriceUpdates([
  "0xe62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43"
]);

// Build transaction to post price
const transactionBuilder = pythReceiver.newTransactionBuilder();
await transactionBuilder.addPostPriceUpdates(priceUpdateData.binary.data);

// Add your program instruction that uses the price
// transactionBuilder.addInstruction(yourInstruction);

// Send transaction
const transactions = await transactionBuilder.buildVersionedTransactions({
  computeUnitPriceMicroLamports: 50000,
});

for (const tx of transactions) {
  const sig = await connection.sendTransaction(tx);
  console.log("Transaction:", sig);
}
```

---

## On-Chain Integration (Rust)

### Setup

Add to `Cargo.toml`:

```toml
[dependencies]
pyth-solana-receiver-sdk = "0.3.0"
anchor-lang = "0.30.1"
```

### Reading Price in Anchor Program

```rust
use anchor_lang::prelude::*;
use pyth_solana_receiver_sdk::price_update::{PriceUpdateV2, get_feed_id_from_hex};

declare_id!("YourProgramId...");

// BTC/USD price feed ID
const BTC_USD_FEED_ID: &str = "0xe62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43";

#[program]
pub mod my_program {
    use super::*;

    pub fn check_price(ctx: Context<CheckPrice>) -> Result<()> {
        let price_update = &ctx.accounts.price_update;
        let clock = Clock::get()?;

        // Verify this is the correct feed
        let feed_id = get_feed_id_from_hex(BTC_USD_FEED_ID)?;

        // Get price no older than 60 seconds
        let price = price_update.get_price_no_older_than_with_custom_verification(
            &clock,
            60,
            &feed_id,
            ctx.accounts.price_update.to_account_info().owner,
        )?;

        msg!("BTC/USD Price: {} × 10^{}", price.price, price.exponent);
        msg!("Confidence: ±{}", price.conf);

        Ok(())
    }
}

#[derive(Accounts)]
pub struct CheckPrice<'info> {
    #[account(
        constraint = price_update.to_account_info().owner == &pyth_solana_receiver_sdk::ID
    )]
    pub price_update: Account<'info, PriceUpdateV2>,
}
```

### Using Price for Calculations

```rust
pub fn swap_with_oracle(
    ctx: Context<SwapWithOracle>,
    amount_in: u64,
) -> Result<()> {
    let price_update = &ctx.accounts.price_update;
    let clock = Clock::get()?;

    // Get price with staleness check
    let price = price_update.get_price_no_older_than(&clock, 30)?;

    // Validate confidence (max 1% of price)
    let conf_ratio = (price.conf as u128 * 10000) / (price.price.unsigned_abs() as u128);
    require!(conf_ratio <= 100, ErrorCode::ConfidenceTooWide);

    // Convert price to usable format
    // price.price is in fixed-point with price.exponent
    let price_scaled = if price.exponent >= 0 {
        (price.price as u128) * 10_u128.pow(price.exponent as u32)
    } else {
        (price.price as u128) / 10_u128.pow((-price.exponent) as u32)
    };

    // Calculate output amount using oracle price
    let amount_out = (amount_in as u128)
        .checked_mul(price_scaled)
        .ok_or(ErrorCode::MathOverflow)?
        / 1_000_000; // Adjust for decimals

    msg!("Swap {} -> {} using price {}", amount_in, amount_out, price_scaled);

    Ok(())
}

#[error_code]
pub enum ErrorCode {
    #[msg("Price confidence interval too wide")]
    ConfidenceTooWide,
    #[msg("Math overflow")]
    MathOverflow,
}
```

### Multiple Price Feeds

```rust
#[derive(Accounts)]
pub struct Liquidation<'info> {
    #[account(
        constraint = collateral_price.to_account_info().owner == &pyth_solana_receiver_sdk::ID
    )]
    pub collateral_price: Account<'info, PriceUpdateV2>,

    #[account(
        constraint = debt_price.to_account_info().owner == &pyth_solana_receiver_sdk::ID
    )]
    pub debt_price: Account<'info, PriceUpdateV2>,
}

pub fn check_liquidation(ctx: Context<Liquidation>) -> Result<bool> {
    let clock = Clock::get()?;

    let collateral = ctx.accounts.collateral_price
        .get_price_no_older_than(&clock, 60)?;
    let debt = ctx.accounts.debt_price
        .get_price_no_older_than(&clock, 60)?;

    // Normalize to same exponent for comparison
    let collateral_value = normalize_price(collateral.price, collateral.exponent);
    let debt_value = normalize_price(debt.price, debt.exponent);

    // Check if undercollateralized
    let is_liquidatable = collateral_value < debt_value * 150 / 100; // 150% ratio

    Ok(is_liquidatable)
}

fn normalize_price(price: i64, expo: i32) -> i128 {
    let target_expo = -8; // Normalize to 8 decimals
    let adjustment = expo - target_expo;

    if adjustment >= 0 {
        (price as i128) * 10_i128.pow(adjustment as u32)
    } else {
        (price as i128) / 10_i128.pow((-adjustment) as u32)
    }
}
```

---

## Best Practices

### 1. Always Check Staleness

```rust
// Don't use old prices - set appropriate max age
let max_age_seconds = 60;
let price = price_update.get_price_no_older_than(&clock, max_age_seconds)?;
```

### 2. Validate Confidence Intervals

```rust
// Reject prices with wide confidence (high uncertainty)
const MAX_CONF_BPS: u64 = 200; // 2%

let conf_bps = (price.conf as u128 * 10000) / (price.price.unsigned_abs() as u128);
require!(conf_bps <= MAX_CONF_BPS as u128, ErrorCode::ConfidenceTooWide);
```

### 3. Verify Account Ownership

```rust
// Always verify the price account is owned by Pyth
#[account(
    constraint = price_update.to_account_info().owner == &pyth_solana_receiver_sdk::ID
)]
pub price_update: Account<'info, PriceUpdateV2>,
```

### 4. Use EMA for Sensitive Operations

```rust
// For liquidations, use EMA to avoid manipulation
let ema_price = price_update.get_ema_price_no_older_than(&clock, 60)?;
```

### 5. Handle Price Unavailability

```typescript
try {
  const price = await client.getLatestPriceUpdates([feedId]);
  // Use price
} catch (error) {
  // Fallback behavior or reject transaction
  console.error("Price unavailable:", error);
}
```

### 6. Consider Frontrunning

- Adversaries may see price updates before your transaction
- Don't design logic that races against price updates
- Use appropriate slippage tolerances

---

## Price Feed Types

### Fixed Price Feed Accounts

- Maintained continuously by Pyth
- Fixed address per feed
- Always has most recent price
- Shared by all users (potential congestion)

### Ephemeral Price Update Accounts

- Created per transaction
- Can specify shard ID for parallelization
- Rent can be recovered after use
- Better for high-throughput applications

```typescript
// Use shard ID to avoid congestion
const transactionBuilder = pythReceiver.newTransactionBuilder({
  shardId: Math.floor(Math.random() * 65536), // Random shard
});
```

---

## Resources

### Official Documentation
- [Pyth Documentation](https://docs.pyth.network)
- [Price Feed IDs](https://pyth.network/developers/price-feed-ids)
- [Solana Integration Guide](https://docs.pyth.network/price-feeds/use-real-time-data/solana)

### GitHub Repositories
- [pyth-network/pyth-crosschain](https://github.com/pyth-network/pyth-crosschain)
- [pyth-network/pyth-sdk-rs](https://github.com/pyth-network/pyth-sdk-rs)

### NPM Packages
- [@pythnetwork/hermes-client](https://www.npmjs.com/package/@pythnetwork/hermes-client)
- [@pythnetwork/pyth-solana-receiver](https://www.npmjs.com/package/@pythnetwork/pyth-solana-receiver)

### Rust Crates
- [pyth-solana-receiver-sdk](https://crates.io/crates/pyth-solana-receiver-sdk)

---

## Skill Structure

```
pyth/
├── SKILL.md                          # This file
├── resources/
│   ├── program-addresses.md          # All program IDs and feed IDs
│   └── api-reference.md              # SDK API reference
├── examples/
│   ├── price-feeds/
│   │   ├── fetch-price.ts            # Basic price fetching
│   │   └── multiple-prices.ts        # Multiple price feeds
│   ├── on-chain/
│   │   ├── anchor-integration.rs     # Anchor program example
│   │   └── price-validation.rs       # Price validation patterns
│   └── streaming/
│       └── real-time-updates.ts      # WebSocket streaming
├── templates/
│   ├── pyth-client.ts                # TypeScript client template
│   └── anchor-oracle.rs              # Anchor program template
└── docs/
    └── troubleshooting.md            # Common issues and solutions
```

## Verify

- A real RPC/SDK call was issued (mainnet, devnet, or local validator) and the response payload is captured in the transcript, not just paraphrased
- Every transaction was simulated (`simulateTransaction` or equivalent) before any signing/sending step; simulation logs are attached
- For any signed/sent transaction, the resulting signature is recorded and confirmed on chain (status returned by `getSignatureStatuses` or an explorer URL)
- Slippage, priority-fee, and compute-unit limits were set explicitly with concrete numeric values, not left to library defaults
- Account addresses, mints, and program IDs used in the run match the documented pyth-oracle addresses for the targeted cluster (no mainnet/devnet mix-up)
- Failure path was exercised at least once (insufficient balance, stale oracle, expired blockhash, etc.) and the agent's error handling produced a human-readable message
