Use case · Latency

DeFi front-ends

Pools, positions, and prices should render instantly. StreamSync gives DeFi UIs consistently fast reads with a latency SLA the bill actually enforces.

The problem

A DeFi front-end is a firehose of reads: token balances, pool reserves, oracle prices, open orders, position health. On a single hosted RPC, tail latency and mid-quarter rate limits show up as spinners and stale numbers — exactly where users decide whether to trust you with funds.

How StreamSync helps

Racing redundancy. Each read is raced to 3–5 operators; the fastest correct answer wins, so a slow node never becomes your P99.
Pay on outcome. If no operator meets the 10ms SLA, you are not billed for that query — the network eats the miss, not your budget.
One query surface. Standard RPC for hot reads plus DuckDB SQL for dashboards and analytics, behind the same gateway.
No lock-in. Multiple operators serve from day one, so a degrading provider is not an outage or a migration.

Getting started

Point your client at the gateway, set a USDC prepay balance, and read the pipeline. Weighing providers? See StreamSync vs Helius and the other use cases. Built by Cryptuon.

FAQ

Why does RPC latency matter for a DeFi front-end?

Every account, pool, and price read is a network round-trip. When those reads are slow or inconsistent, the UI stalls and users lose trust. StreamSync races 3–5 operators per query and only bills when a verified answer arrives under 10ms.

Can I still use standard Solana RPC calls?

Yes. The query surface covers standard RPC (account lookups, program-derived data, decoded SPL/Metaplex state, transaction traces) plus analytical DuckDB SQL for anything heavier.