Crypto Proxies

All of them do — per-IP metering on public endpoints is the industry's standard defense, only the constants differ. OKX caps market-data endpoints at 20 requests per 2 seconds per address (private trading endpoints are metered per account instead). Coinbase's public endpoints sit near 10 requests per second. Bybit and KuCoin run sliding-window counters of their own, and every one of them answers a breach the same way: 429, then escalating bans for addresses that don't back off. The practical consequence is that a multi-exchange collector sizes its pool against the strictest venue it queries, and keeps per-exchange sub-pools so a ban on one venue never idles addresses that are healthy elsewhere. One nuance worth knowing before you architect around keys: several exchanges meter public data by IP even when you authenticate — rotating API keys on one address buys you nothing there.

We don't sell for that scenario, and here's the technical reason rather than a moral one: it mostly doesn't work. Sybil filters in serious airdrops operate on the layer proxies can't touch — funding trails (fifty wallets topped up from one source address form a tree anyone can query), synchronized transaction timing, identical interaction patterns, and shared off-chain artifacts like device fingerprints and KYC identities. Projects have retroactively disqualified entire wallet clusters using nothing but on-chain graph analysis, IP diversity notwithstanding. An address from us gives each session a separate network origin, which is one signal among many and the cheapest one for a filter to route around. If your plan's success depends on beating sybil detection, the honest advice is that the IP is not where that plan fails or succeeds.

For the public, keyless endpoints — yes, and it's an underused setup. Managed node providers meter by API key, so proxies change nothing there; but the free public RPCs that chains and communities operate (the endpoints dashboards quietly poll for balances, blocks, and events) throttle by IP, usually at a few requests per second. A monitoring service watching contracts across several chains exhausts one address quickly, and spreading calls across a package restores the throughput without upgrading to paid node tiers. The same applies to public block explorers' free API tiers. Two cautions from practice: public RPCs are best-effort infrastructure with no SLA, so treat them as a redundant pool rather than a primary — and if your read volume is business-critical, a paid node provider with per-key limits is the architecture that scales; proxies just stretch the free tier further than one IP allows.

It adds a hop, so the honest baseline answer is: slightly, when the proxy sits off your route. A well-placed address costs single-digit milliseconds; a badly placed one — your server in Frankfurt, proxy in Dallas, exchange in Singapore — costs a hundred. The placement rule is to put the proxy in the same region as the exchange's infrastructure, not near yourself: matched geography means the proxy-to-exchange leg is nearly free, and occasionally the proxied route beats your provider's default peering outright. For what most people on this page run — market-data collection and bot sessions — stability and rate-limit distribution matter far more than a few milliseconds. If you're doing genuinely latency-critical execution, you already know the answer lives in colocation, not in any proxy; for everything below that tier, test round-trip times from a couple of our locations and pick the region that measures best.