If you're building on Hyperliquid, choosing a strong RPC provider is mission-critical. Whether you're running trading bots, on-chain analytics or smart-contract microservices, your infrastructure choice affects latency, cost, scale and reliability.
The good news: the market now offers multiple dedicated RPC providers.
The question: which one gives you the best balance—especially cost per request / throughput—for SME data-driven builds?
What Makes a Great Hyperliquid RPC Provider?
Before diving into provider comparisons, let's recap the key decision criteria for SMEs and data-intensive developers:
Latency & Throughput (RPS/RPC calls/sec)
High-frequency bots and real-time analytics demand low-latency responses and high RPS. Many public endpoints are capped at modest request rates or experience bursts of latency.
Rate Limits / Quotas / Burst Capacity
Free/public endpoints often throttle you (e.g., 100 requests/minute on Hyperliquid public RPC). Understanding these limits is crucial for production deployments.
Dedicated vs Shared Infrastructure
Shared endpoints may introduce noise (noisy-neighbor effect). For production use you might need isolated clusters or dedicated nodes.
Regional Routing & Fail-over
If your bots operate globally, you want geo-distributed nodes, deterministic routing, fail-over and SLA.
Cost Model Transparency
For SMEs, understanding how many requests, what rate-limits, how scaling behaves and what it costs is key.
Developer Tooling & Analytics
Dashboards for request usage, latency heat-maps, logs/tracing help you optimize and control cost.
Data-Centric Capabilities
Do you need archive data, WebSocket feeds, custom APIs, analytics endpoints — beyond basic state reads?
With those criteria in mind, let's compare the leading providers for Hyperliquid.
1. Dwellir — Cost-Efficient, Developer-Focused, Dedicated Clusters
Website: dwellir.com/networks/hyperliquid
Why Dwellir Stands Out
Dwellir offers custom APIs tailored specifically for Hyperliquid. You're not just using generic EVM-RPC but infrastructure optimized for this chain.
Key differentiator: Dedicated clusters where you can "run your code next to the node" for ultra-low latency in a managed environment—ideal for high-frequency or data-intensive workloads.
Pros
- Strong cost advantage for SME/data-heavy use-cases
- Dedicated low-latency clusters reduce round-trip and variability
- Custom APIs for Hyperliquid give you more than vanilla endpoints
- gRPC infrastructure for high-performance streaming (70+ blocks/sec)
Cons
- Smaller brand recognition compared to enterprise names (which may matter for risk-averse stakeholders)
- Possibly fewer extra bells & whistles (extensive SDKs, large ecosystems) than top-tier entrants
Cost Focus
For a developer building analytics or trading infrastructure, the cost per 10K/100K requests matters.
Dwellir's value-proposition:
- High RPS at competitive pricing
- Dedicated infrastructure without enterprise-level costs
- Lower pricing tiers than major competitors
The hidden savings: Many public endpoints are heavily rate-limited (100 requests/minute). Moving to Dwellir means you avoid operational costs like latency, missed trades, and dropped data—while paying only for what you use.
2. Chainstack — Balanced, Managed, Scalable
Website: chainstack.com/build-better-with-hyperliquid/
Key Capabilities
Infrastructure: Dedicated HyperEVM & HyperCore RPC endpoints with clear SLA (99.9%+ uptime) and global node deployment.
Pricing tiers:
- Developer (Free): 3M requests/month, 25 RPS
- Growth: $49/mo (20M requests, 250 RPS)
- Pro: $199/mo (80M requests, 400 RPS)
- Business: $349/mo (140M requests, 600 RPS)
Pros
- Managed infrastructure reduces ops overhead
- Clear performance metrics and SLA
- Good documentation and developer tooling
Cons
- For very high throughput or highest performance (lowest latency) you may need premium tiers
- Dedicated node options available at higher pricing tiers
Cost Focus
Chainstack is a strong middle-ground for SMEs:
- Reliability of a managed provider
- Predictable request-based pricing model
- Free tier (3M requests) helps prototyping
- Clear upgrade path: $49 → $199 → $349/mo
Cost efficiency: At $49/mo for 20M requests (Growth tier), that's $2.45 per million requests—competitive for managed infrastructure. The Pro tier ($199/mo, 80M requests) works out to $2.49 per million requests, maintaining good value at scale.
Watch out for: RPS limits may require tier upgrades even if request volume is within limits. The Business tier at 600 RPS costs $349/mo, which may be necessary for high-frequency applications.
3. Alchemy — Enterprise Grade, Higher Cost
Website: alchemy.com/hyperevm
Key Capabilities
Enterprise tooling: Simulation, transact & notify APIs, analytics dashboards, comprehensive SDK support.
Free tier: ~300M credits/month with ~300 RPS cap. Note that credits can be consumed quickly depending on call type (archive queries, trace calls, etc.).
Pros
- Exceptional ecosystem support, integrations, uptime
- Great for large teams, multi-chain, heavy workloads
Cons
- Cost is higher, especially if you're doing high-volume archival or analytics queries
- For SMEs focusing specifically on high-throughput Hyperliquid use-cases, you may pay more than needed
Cost Focus
Best for: Large teams analyzing millions of events or building multi-chain infrastructure.
SME consideration: You may be paying for features you don't need (multi-chain support, extensive SDKs, enterprise tooling). Always estimate cost per 1M API-calls and compare with specialized providers.
4. QuickNode — Premium Performance, Premium Price
Website: quicknode.com
Key Capabilities
Performance focus: Global edge network, low latency, real-time streaming, analytics dashboard.
Pricing: No free tier; trial uses 10M credits. Paid plans typically offer 50–500 RPS.
Pros
- Top performance and global coverage
- Ease of scaling and switching chains
Cons
- Higher cost per request / per throughput than simpler providers
- May have additional hidden costs or overage charges
Cost Focus
For heavy-throughput, high latency-sensitive trading infra, QuickNode is compelling. For SMEs where cost per request matters more than "best of all possible" performance, you'll want to calculate cost vs throughput carefully.
5. HypeRPC — Emerging, Trading-Focused
Website: hyperpc.app
Key Capabilities
Hyperliquid-native: Built specifically for this chain with shared and dedicated endpoints, WebSocket + HTTP, real-time metrics.
Pricing:
- Free tier: 10K requests/month, 5 RPS
- Paid tiers: 50–300 RPS
Pros
- Very focused on Hyperliquid and trading use-cases
- Good option for early adoption and mid-scale use
Cons
- Still growing; less mature ecosystem than legacy providers
- For large volume/production might need to validate SLA, redundancy
Cost Focus
If your workload is moderate and you are optimizing cost/throughput trade-off, HypeRPC is attractive. You'll want to monitor how pricing behaves as you scale to higher RPS.
6. Altitude — Free/Public Option (for Prototyping)
Website: rpc.reachaltitude.xyz
Key Capabilities
Public endpoint: Free RPC for prototyping and testing.
Limitations: Limited throughput, no SLA, shared infrastructure.
Pros
- Zero cost for early experimentation
- Low barrier to entry
Cons
- Not viable for production trading bots, analytics where latency and reliability matter
- Shared pool means unpredictable performance
Cost Focus
This is great for prototyping, but if you hit rate limits, latency or fail-over issues cost you in downtime or missed data. Transition to a paid provider when you move toward production.
7. Nanoreth / Self-Hosted Archival Node
Repository: GitHub – Nanoreth archive node
Key Capabilities
Full control: Build your own archival node for Hyperliquid.
Best for: Teams that want full data ownership and have infrastructure operations expertise. Latency optimization is secondary to control.
Pros
- No third-party provider cost per request
- Maximum control, full data access
Cons
- High upfront hardware, maintenance and engineering costs
- Operational risks, scalability burdens
Cost Focus
Total cost of ownership includes:
- Hardware and server costs
- DevOps and maintenance
- Monitoring and alerting
- Scaling and redundancy
Bottom line: For most SMEs, paying an RPC provider is cheaper once you factor in all operational costs. Self-hosting makes sense only if you have dedicated infrastructure teams.
Provider Comparison Table
| Provider | Free Tier / Entry | Paid Throughput (RPS) | Key Strength | Ideal For |
|---|---|---|---|---|
| Dwellir | 15M requests/mo, 20 RPS | Up to ~10,000 RPS | Dedicated clusters, low cost, gRPC streaming | SMEs, latency-critical bots, data-intensive apps |
| Chainstack | 3M requests/mo, 25 RPS | 250–600 RPS by plan | Balanced managed service, clear SLA | Teams scaling beyond prototyping |
| Alchemy | ~300M credits/mo (~300 RPS cap) | Higher tiers via credits | Enterprise features, multi-chain | Large teams, multi-chain infrastructure |
| QuickNode | Trial + 10M credits | 50–500 RPS typical | Global edge network, premium performance | Premium performance use-cases |
| HypeRPC | 10K requests/mo, 5 RPS | 50–300 RPS & custom | Hyperliquid-native, trading focused | Mid-scale trading / dashboards |
| Altitude | Free public RPC | Very limited | Zero cost entry | Prototyping / early development |
| Self-hosted | Hardware costs | Unlimited (via your infra) | Maximum control | Teams with infrastructure ops |
* Throughput / RPS numbers are indicative; actual pricing and throughput should be confirmed directly with provider.
Why Dwellir is Often the Smart Choice for SMEs
For SMEs and developer teams focused on cost per request + throughput + data-access, Dwellir stands out:
1. Dedicated Low-Latency Clusters
Run your code "next to the node" for significant performance advantages:
- Trading bots with sub-millisecond latency
- Order-book reads without network overhead
- Real-time dashboards with instant updates
2. Tailored Hyperliquid APIs
Not generic EVM infrastructure—APIs designed specifically for Hyperliquid's unique architecture.
3. Attractive Pricing at Scale
Other providers' cost efficiency suffers when you scale. Dwellir maintains competitive pricing even at high throughput.
4. High-Performance gRPC Infrastructure
Process 70+ blocks per second with sub-second latency for data-intensive applications.
The Trade-off
Other providers offer broader multi-chain support or extensive enterprise tool-kits. But if Hyperliquid is your focus and cost efficiency matters, specialized infrastructure wins.
Developer Tips: How to Evaluate & Monitor Your RPC Costs
1. Track Cost Per 1M Requests
Action: Ask providers for their effective cost per 1M requests/month.
Why: This is your baseline metric for cost comparison.
2. Measure Latency Percentiles (p50, p95)
Action: Check p95 and p99 latencies, not just averages.
Why: Average latency might be low while worst-case performance is poor.
3. Check Burst Capacity / Fail-over
Action: Test how providers handle traffic bursts during market events.
Why: Sustained performance during spikes matters for trading applications.
4. Watch Hidden Costs
Watch for: Extra charges for WebSocket connections, archive queries, over-quota calls.
Action: Read the fine print before committing.
5. Define Exit Strategy
Questions to ask:
- What happens if you outgrow your plan?
- Are contracts lock-in?
- Do pricing jumps occur at tier boundaries?
Action: Always have a migration path.
6. Monitor in Production
Action: Use dashboards to track usage, latency, and error rates.
Mindset: Treat your RPC provider like any critical service you pay for.
7. Plan Scale-up Early
Action: Set triggers (e.g., "at 1000 RPS, upgrade to paid tier").
Why: Don't get bottlenecked when moving to production.
Final Thoughts
For developers and SMEs building on Hyperliquid, infrastructure cost and performance aren't nice-to-haves—they're core variables. The right RPC provider turns data access into a reliable commodity, not a bottleneck.
Quick Decision Guide
Choose Dwellir if:
- Cost-efficiency is critical
- You need ultra-low latency
- You want dedicated infrastructure without enterprise pricing
Choose Chainstack if:
- You want managed services with clear SLAs
- Predictable pricing matters
- You're scaling beyond prototyping
Choose Alchemy / QuickNode if:
- You have enterprise-scale needs
- Budget is less constrained
- Multi-chain support is valuable
Choose HypeRPC if:
- Trading is your primary use-case
- You want Hyperliquid-native tooling
- Mid-scale throughput is sufficient
Choose Altitude if:
- You're prototyping
- Zero cost is required
- Performance isn't critical (yet)
Self-host if:
- You have dedicated infrastructure teams
- Full control is non-negotiable
- You can manage operational complexity
Bottom line: Evaluate your throughput needs, latency requirements, and budget constraints. The right choice scales with your application and keeps costs predictable.
Ready to Get Started with Dwellir?
Dwellir provides high-performance Hyperliquid infrastructure optimized for SMEs and data-intensive applications:
- Contact: Get in touch
- Documentation: Dwellir Docs
- Hyperliquid Infrastructure: Learn more
- Code Examples: GitHub
References
This content is for informational purposes only and does not constitute financial or investment advice. Always conduct your own research when selecting infrastructure providers.