Rpc Optimize

RPC Optimization

The one thing most people get wrong

JSON-RPC batching does not save you money. It merges HTTP round-trips. Every provider that documents the rule bills each method inside the batch:

• Alchemy: batch* | CU of method # times called
• Ankr: "every sub-call in a batch is billed and rate-limited individually"
• QuickNode: "batching also counts as CPS because each request is counted individually"
• Infura: bills the batch N+1 — "if the array contains 30 requests… this would be 31 total requests." Batching on Infura is strictly worse than serial.
• Helius: documents no batch rule at all. Do not claim one either way.

What saves money is aggregation — collapsing N logical reads into 1 billable method call. Measured, not estimated (benchmarks/, run 2026-08-04):

50× and 40× respectively. Batching moves neither number.

⚠️ Infura's docs call JSON-RPC batching "multi-call." That is not Multicall3. On Infura, "multi-call" is the thing that costs N+1 credits; aggregate3 is the thing that costs 80. Don't let the naming collision route someone to the expensive option.

Two different budgets — don't conflate them

1. Provider budget — credits / CU / rate limits. Fixed by how many billable methods you invoke. Aggregation, caching, and push-instead-of-poll fix this.
2. Agent context budget — tokens burned when a coding agent dumps a huge RPC response into context. Fixed by dataSlice, field projection, and writing results to a file. Measured: 8 Solana accounts as full base64 = 142,073 bytes; the same read with dataSlice(0,32) = 1,729 bytes (99% smaller) for identical billable cost.

If the user says "save tokens", ask which one they mean. Usually it's #1.

Decision procedure

Stop at the first rule that applies.

1. Is the data push-able? Polling every 2s = 43,200 calls/day per watcher. Prefer eth_subscribe (EVM) or accountSubscribe/webhooks (Solana). Check the provider's subscription pricing first — on Alchemy, WebSockets and webhooks bill at 0.04 CU/byte, so a chatty subscription can cost more than the polling it replaced. On Helius a delivered webhook event is 1 credit, which beats polling only when event rate < poll rate.

2. Is it cacheable? Immutable data — finalized blocks, confirmed txs, ERC-20 decimals/symbol/name, mint metadata, contract code — fetch once, ever. Re-fetching ERC-20 decimals() on every render is the most common quota leak in dApp frontends. Infura's own advice: "Cache Ethereum data locally."

3. Are there N reads at one block/slot? Aggregate:

   • EVM → Multicall3 at 0xcA11bde05977b3631167028862bE2a173976CA11
   • Solana accounts → getMultipleAccounts (100/call) or Anchor fetchMultiple
   • Solana tokens/NFTs → DAS getAssetsByOwner, not N × getAccountInfo

4. Is it a scan over many accounts? Solana getProgramAccounts is the trap — 10 credits on Helius, and on Alchemy it bills 20 CU but consumes 117 throughput CU, throttling ~6× harder than it bills. Always filter, always dataSlice, prefer getProgramAccountsV2 on Helius (1 credit vs 10). On EVM prefer eth_getLogs with tight ranges over per-item eth_call sweeps.

5. Only now, batch — for latency, never for cost. Skip entirely on Infura.

6. Dedupe and coalesce. Two components asking for the same balance in one render should produce one request. A query cache with a sane staleTime often halves traffic before any protocol work.

When writing new code

• Never call an RPC method inside a for/map loop. await Promise.all(items.map(x => contract.read.foo(...))) is a multicall waiting to happen.
• Pin an explicit blockNumber/slot when aggregating — consistent and cacheable.
• Request the narrowest data: dataSlice, base64 over jsonParsed, specific log topics.
• Put the provider key behind a server route. NEXT_PUBLIC_* keys get scraped and drained — a real cause of mystery overage that no batching will fix.

Diagnosing an existing project

Run references/audit-patterns.md — grep patterns for the common waste signatures plus before/after quota estimation.

References

Detect the chain first, then read only that reference. Check for viem/ethers/wagmi/hardhat/foundry (EVM) vs @solana/web3.js/@coral-xyz/anchor/Anchor.toml (Solana). A provider name does not imply a chain — Alchemy, Ankr, QuickNode, and Infura all serve both.

• references/evm.md — Multicall3, viem/ethers/wagmi (incl. two silent-failure traps), eth_getLogs caps
• references/solana.md — getMultipleAccounts, Anchor, gPA, DAS, subscriptions
• references/providers.md — verified per-method costs and limits for all 5 providers
• references/audit-patterns.md — grep-based waste audit
• references/benchmarking.md — how to measure before/after on your own endpoint

Honest limits

• Multicall3 is EVM-only. No such contract on Solana; the answer there is getMultipleAccounts. "Multicall for Anchor" is a category error.
• Multicall3 batches reads at one block. It can't span blocks or make an archive query cheap.
• Aggregation increases response size — good for credits, bad for context. Slice fields when an LLM is the consumer.
• All costs verified 2026-08-04 against provider docs. Providers reprice without notice; re-verify before quoting as current.
• Where a provider doesn't document something, this skill says so rather than guessing. Absent numbers are safer than wrong ones.