Alchemy Rate Limits
Overview
Alchemy uses Compute Units (CU) to measure API usage. Different methods cost different CU amounts. Rate limits are per-second, and exceeding them returns 429 errors.
Compute Unit Costs
| Method | CU Cost | Category |
|--------|---------|----------|
| eth_blockNumber | 10 | Core |
| eth_getBalance | 19 | Core |
| eth_call | 26 | Core |
| eth_getTransactionReceipt | 15 | Core |
| getTokenBalances | 50 | Enhanced |
| getTokenMetadata | 50 | Enhanced |
| getAssetTransfers | 150 | Enhanced |
| getNftsForOwner | 50 | NFT |
| getNftMetadataBatch | 50 | NFT |
| getContractMetadata | 50 | NFT |
Plan Limits
| Plan | CU/sec | Monthly CU | Price | |------|--------|------------|-------| | Free | 330 | 300M | $0 | | Growth | 660 | 1.2B | $49/mo | | Scale | Custom | Custom | Custom |
Instructions
Step 1: CU-Aware Request Throttler
// src/alchemy/throttler.ts
import Bottleneck from 'bottleneck';
const CU_COSTS: Record<string, number> = {
'eth_blockNumber': 10,
'eth_getBalance': 19,
'eth_call': 26,
'getTokenBalances': 50,
'getAssetTransfers': 150,
'getNftsForOwner': 50,
};
// Free tier: 330 CU/sec = ~16 getBalance calls/sec
const limiter = new Bottleneck({
reservoir: 330, // CU budget per interval
reservoirRefreshInterval: 1000, // Refresh every second
reservoirRefreshAmount: 330, // Reset to max CU/sec
maxConcurrent: 10, // Max parallel requests
minTime: 50, // Min 50ms between requests
});
limiter.on('depleted', () => {
console.warn('CU budget depleted — queueing requests');
});
async function throttledAlchemyCall<T>(
method: string,
operation: () => Promise<T>,
): Promise<T> {
const cost = CU_COSTS[method] || 26; // Default to eth_call cost
return limiter.schedule({ weight: cost }, operation);
}
export { throttledAlchemyCall, limiter };
Step 2: Batch Optimizer
// src/alchemy/batch-optimizer.ts
import { Alchemy } from 'alchemy-sdk';
// Instead of N individual calls, batch when possible
async function batchGetBalances(
alchemy: Alchemy,
addresses: string[],
): Promise<Map<string, string>> {
const results = new Map<string, string>();
// Process in chunks to stay under rate limit
const CHUNK_SIZE = 10;
for (let i = 0; i < addresses.length; i += CHUNK_SIZE) {
const chunk = addresses.slice(i, i + CHUNK_SIZE);
const balances = await Promise.all(
chunk.map(addr => alchemy.core.getBalance(addr))
);
chunk.forEach((addr, idx) => {
results.set(addr, (parseInt(balances[idx].toString()) / 1e18).toFixed(6));
});
// Pause between chunks to stay under CU limit
if (i + CHUNK_SIZE < addresses.length) {
await new Promise(r => setTimeout(r, 200));
}
}
return results;
}
export { batchGetBalances };
Step 3: 429 Retry Handler
// src/alchemy/retry.ts
async function withAlchemyRetry<T>(
operation: () => Promise<T>,
maxRetries: number = 5,
): Promise<T> {
for (let attempt = 1; attempt <= maxRetries; attempt++) {
try {
return await operation();
} catch (err: any) {
if (err.response?.status !== 429 || attempt === maxRetries) throw err;
const retryAfter = parseInt(err.response.headers?.['retry-after'] || '1');
const jitter = Math.random() * 500;
const delay = retryAfter * 1000 + jitter;
console.log(`Rate limited — retry ${attempt}/${maxRetries} in ${delay.toFixed(0)}ms`);
await new Promise(r => setTimeout(r, delay));
}
}
throw new Error('Unreachable');
}
Output
- CU-aware Bottleneck throttler matching plan limits
- Batch optimizer reducing total CU consumption
- 429 retry handler with Retry-After header support
Resources
Next Steps
For security best practices, see alchemy-security-basics.