Claude-code-plugins-plus-skills alchemy-cost-tuning
install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/alchemy-pack/skills/alchemy-cost-tuning" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-skills-alchemy-cost-tuning && rm -rf "$T"
manifest:
plugins/saas-packs/alchemy-pack/skills/alchemy-cost-tuning/SKILL.mdsource content
Alchemy Cost Tuning
Overview
Alchemy pricing is based on Compute Units (CU). Different API methods have different CU costs. Optimize by caching, batching, choosing cheaper methods, and right-sizing your plan.
Plan Comparison
| Plan | CU/sec | Monthly CU | Price | Best For |
|---|---|---|---|---|
| Free | 330 | 300M | $0 | Dev/prototyping |
| Growth | 660 | 1.2B | $49/mo | Small dApps |
| Scale | Custom | Custom | Custom | High-traffic apps |
CU Cost Reference (Top Methods)
| Method | CU | Optimization |
|---|---|---|
| 10 | Cache 12s (1 block) |
| 19 | Cache 30s |
| 26 | Cache based on use case |
| 50 | Cache 60s; batch addresses |
| 50 | Cache 5 min |
| 50 | Cache 24h (rarely changes) |
| 150 | Cache aggressively; paginate |
| 50 | Use batch over individual calls |
Instructions
Step 1: CU Usage Monitor
// src/cost/cu-monitor.ts const CU_COSTS: Record<string, number> = { 'eth_blockNumber': 10, 'eth_getBalance': 19, 'eth_call': 26, 'getTokenBalances': 50, 'getNftsForOwner': 50, 'getTokenMetadata': 50, 'getAssetTransfers': 150, 'getNftMetadataBatch': 50, }; class CuMonitor { private usage: Array<{ method: string; cu: number; timestamp: number }> = []; record(method: string): void { this.usage.push({ method, cu: CU_COSTS[method] || 26, timestamp: Date.now() }); } getHourlyReport(): { totalCu: number; byMethod: Record<string, number> } { const cutoff = Date.now() - 3600000; const recent = this.usage.filter(u => u.timestamp > cutoff); const byMethod: Record<string, number> = {}; let totalCu = 0; for (const u of recent) { byMethod[u.method] = (byMethod[u.method] || 0) + u.cu; totalCu += u.cu; } return { totalCu, byMethod }; } getMonthlyProjection(): { projectedMonthly: number; planRecommendation: string } { const hourly = this.getHourlyReport(); const projectedMonthly = hourly.totalCu * 24 * 30; let recommendation = 'Free'; if (projectedMonthly > 300_000_000) recommendation = 'Growth'; if (projectedMonthly > 1_200_000_000) recommendation = 'Scale'; return { projectedMonthly, planRecommendation: recommendation }; } } export { CuMonitor };
Step 2: Cost-Optimized Client Wrapper
// src/cost/optimized-client.ts import { Alchemy, Network } from 'alchemy-sdk'; const cache = new Map<string, { data: any; expiry: number }>(); // Cache token metadata aggressively (rarely changes) async function getTokenMetadataCached(alchemy: Alchemy, contract: string) { const key = `metadata:${contract}`; const cached = cache.get(key); if (cached && cached.expiry > Date.now()) return cached.data; const data = await alchemy.core.getTokenMetadata(contract); cache.set(key, { data, expiry: Date.now() + 86400000 }); // 24h cache return data; } // Use batch instead of individual NFT metadata calls // 1 batch call (50 CU) vs 100 individual calls (5000 CU) async function getNftMetadataOptimized( alchemy: Alchemy, tokens: Array<{ contractAddress: string; tokenId: string }> ) { const BATCH_SIZE = 100; const results = []; for (let i = 0; i < tokens.length; i += BATCH_SIZE) { const batch = tokens.slice(i, i + BATCH_SIZE); const batchResults = await alchemy.nft.getNftMetadataBatch(batch); results.push(...batchResults); } return results; }
Step 3: Free Tier Optimization Checklist
// For staying within Free tier (330 CU/sec, 300M CU/month): // 1. Cache eth_blockNumber (saves 10 CU per redundant call) // 2. Cache token metadata (saves 50 CU per redundant call) // 3. Use getNftMetadataBatch instead of getNftMetadata (100x savings) // 4. Avoid getAssetTransfers loops (150 CU each — cache results) // 5. Use WebSockets instead of polling (one connection vs repeated calls) // 6. Rate-limit user-facing endpoints to prevent CU bursts
Output
- CU usage monitor with hourly reports and plan projections
- Cost-optimized client with aggressive caching
- Batch operations reducing CU consumption by 100x
- Free tier optimization checklist
Resources
Next Steps
For architecture design, see
alchemy-reference-architecture.