Top Monad RPC providers for 2025

Explore the leading Monad RPC providers in 2025 and see which one delivers the speed, consistency, and throughput your app needs—whether you’re running trading bots, indexing the chain, or powering real-time on-chain systems.

Monad is attracting builders for one simple reason: it’s fast—and not just “L1 fast.” Its parallel execution engine and JIT-optimized EVM give developers a chain where contracts execute quickly, state updates feel immediate, and block production stays steady even under pressure. This creates the perfect environment for latency-sensitive systems like arbitrage bots, automated strategies, and high-frequency analytics.

Most teams start with the public Monad RPC, and it’s perfectly fine for early testing. But public endpoints aren’t built for sustained load. They cap throughput, spike under traffic, and return stale state more often than you’d think. Once your code needs predictable timing—milliseconds matter, not seconds—you’ll want a private RPC provider that keeps up with Monad’s execution model.

To help you choose the right one, we benchmarked the top Monad RPC providers and compared how they differ in speed, throughput, reliability, rate limits, and overall developer experience. Whether you’re optimizing a trading system or scaling a production dApp, this guide shows exactly what to expect from each provider.

Comparison matrix of Monad RPC providers

This table sets up the analytical framework used in the deep-dive sections below.

1. Chainstack

Chainstack is a multi-chain infrastructure platform and one of the first providers to bring full Monad RPC support to production. With Chainstack Monad endpoints, you get private access to the network over HTTP and WebSocket with a guaranteed high uptime SLA and infrastructure tuned for high-throughput EVM workloads.

On top of raw RPC, Chainstack gives you a set of tools that makes building on Monad easier from the same platform, including:

• Testnet support and one-click node deployment for both mainnet and testnet.
• Archive mode for historical reads, plus WebSockets for live contract events and real-time app state.
• High-performance archive nodes for heavy analytics and indexing workloads.
• Clear method reference for Monad JSON-RPC, example code, and ready-to-clone boilerplates for bots, dashboards, and dApps.
• Access rules to enforce limits per key, IP, or origin directly from the dashboard so you can protect endpoints without extra middleware.

Backed by a globally distributed, multi-cloud network, Chainstack delivers predictable performance for teams moving from local testing to production. Provisioning a Monad endpoint takes just a few minutes in the console.

How much does Chainstack cost?

Chainstack offers cost-effective plans so infra costs are easy to plan and forecast:

• Developer — free, 3M requests/month (~25 RPS), $20 per extra million.
• Growth — $49/month, 20M requests (~250 RPS), $15 per extra million.
• Pro — $199/month, 80M requests (~400 RPS), $12.50 per extra million.
• Business — $349/month, 140M requests (~600 RPS), $10 per extra million.
• Unlimited Node Add-on — flat monthly fee for unmetered requests starting from $149, priced by RPS tier.
• Dedicated — $0.50/hour + storage for exclusive ultra-high performance Monad nodes.

This gives you a rare combination: start free, then move into predictable tiers or unlimited usage as traffic grows.

Performance on Monad with Chainstack

Chainstack’s stack is engineered to give you an edge on Monad:

• Global routing: Traffic is served through Chainstack’s distributed multi-cloud network. Requests are routed to the nearest available infrastructure point for consistent latency.
• Uptime guarantee: 99.99%+ uptime on Monad nodes, with self-healing infrastructure behind the scenes.
• Throughput: Low latency on standard EVM calls; upper tiers comfortably support ~400–600 RPS for sustained heavy use.
• Monitoring: Built-in metrics and comparisons so you can validate endpoint latency, error rates, and load patterns over time.

Pros & cons of Chainstack

For Monad, Chainstack gives you everything you need: private RPC endpoints, archive and WebSockets, security controls, and monitoring under one roof. Pricing is clear, regions are well covered, and the free tier makes it easy to try before you commit—making Chainstack a leading choice for serious builders on Monad.

2. Quicknode

QuickNode recently added Monad to its lineup of supported networks. The platform runs on a globally distributed, auto-scaling network of RPC nodes, routing traffic to the closest region to keep latency low. Monad support covers standard JSON-RPC methods, with private endpoints over HTTP and WebSocket.

Instead of bundling chain-specific extras, QuickNode keeps its Monad offer focused on reliable RPC delivery. The additional tooling available—Streams, Webhooks, analytics, and logs—works across its multi-chain stack, so you can integrate Monad into the same observability and data flows you use for other networks.

How much does Quicknode cost?

QuickNode runs on a credit system across its monthly plans. It gives flexibility, but once your quota burns through, you’ll need to watch usage to avoid extra costs.

With Quicknode, you get a free trial for one month, which includes 10 million credits at 15 RPS, but there’s no permanent free tier for Hyperliquid. Other paid plans available on the platform are:

• Free Trial (1 month) — $0/month, 10M credits, ~15 RPC
• Build — $49/month, 80M credits, ~50 RPS
• Accelerate — $249/month, 450M credits, ~125 RPS
• Scale — $499/month, 950M credits, ~250 RPS
• Business — $999/month, 2B credits, ~500 RPS

Overage runs around $0.50–$0.62 per million requests, depending on plan. Every plan includes access to QuickNode’s wider multi-chain stack, Streams for WebSocket feeds, archived data, and the developer dashboard.

Performance on Monad with QuickNode

QuickNode focuses on speed and uptime for all chains it supports, including Monad. Request-per-second limits are enforced per plan, so scaling heavy workloads usually means upgrading or distributing load across endpoints.

• Uptime: 99.99% uptime on paid plans, with SLA-backed billing.
• Latency: Low response times through global routing and regional caching.
• Throughput: Per-endpoint caps (50–500 RPS) mean high-frequency workloads will need higher tiers or multiple endpoints.
• Scale: Network processes hundreds of billions of requests monthly across supported chains.
• Monad-specific tooling: The stack is generic RPC; there’s no Monad-specific faucet or specialized dashboards yet.

Pros & cons of Quicknode

QuickNode delivers fast, globally routed Monad RPC with a production-ready SLA, backed by a mature platform and solid tooling. It’s a good choice if you want strong multi-chain integrations and don’t mind credit accounting. For chain-specific extras or very fine-grained latency control, other providers can complement it.

3. Alchemy

Alchemy recently rolled out Monad support via EVM-compatible RPC endpoints, making it straightforward for teams already using its Ethereum tooling to plug in. You can continue using the same libraries—ethers.js, web3.py—and the overall workflow feels familiar.

Alchemy carries over much of what it’s known for: APIs like Transact and Notify, granular analytics dashboards, and debugging utilities such as transaction simulation. On Monad, this means full RPC access to chain data with the option to build on top of their higher-level tooling for monitoring, alerting, and app-level logic.

How much does Alchemy cost?

One thing to note is that Alchemy measures usage in Compute Units (CUs) rather than raw requests. For Monad teams making lots of lightweight, latency-sensitive calls, this can make costs less predictable than flat request-based models.

That said, Alchemy does offer a free tier: up to 300 million CUs per month with ~300 RPS throughput, enough for many small to mid-sized projects. Beyond that, the pricing options are:

• Free – $0, 30M CUs per month, ~25 RPS
• Pay-as-you-go — $5 per 11M CUs (~$0.45/M), ~300 RPS
• Enterprise — custom pricing, with lower per-unit costs at very high volumes

Performance on Monad with Alchemy

Alchemy runs a hardened global setup that’s proven on other EVM networks and extends that footprint to Monad:

• Uptime: ~99.9% historical uptime, with SLAs on paid tiers.
• Latency: Regional routing for consistent response times; caching and “supernode” architecture keep hot paths fast.
• Throughput: Free tier handles moderate loads, with higher RPS and CU ceilings on paid plans.
• Architecture: Multi-layer caching, load balancing, and internal redundancy to sustain parallel requests.

Pros & cons of Alchemy

Alchemy doesn’t offer Monad-specific “extras,” but if your team already lives in the Alchemy ecosystem or values debugging and analytics tooling as much as raw RPC, it’s one of the easiest ways to go live on Monad.

4. dRPC

dRPC is a newer provider built around a decentralized routing model and was early to support Monad. Instead of relying on a single backend, dRPC forwards traffic through a network of independent node operators, with a smart balancer deciding which node handles each request.

The goal is to combine redundancy, high throughput, and low latency without forcing you to manage your own node fleet. For Monad, dRPC exposes standard JSON-RPC, archive access (depending on upstream nodes), and WebSocket endpoints where available.

How much does dRPC cost?

dRPC pricing is pretty simple, as you just pay for what you use.

• Free plan — $0/month, free 210M CU per month.
• Growth plan — $6 per 1M requests, flat rate across all chains and methods.
• Personalized pricing — From 300 million requests per month.

It’s a good setup if you’re testing or ramping up a smaller Hyperliquid project. However, teams already in production may prefer something with defined quotas and guaranteed support.

Performance on Monad with dRPC

dRPC runs seven regional clusters and uses latency-aware routing to send each request to the most suitable node. In practice, that yields:

• Throughput: Up to ~5,000 RPS per endpoint on the premium plan.
• Latency: Requests are routed to the fastest available node; performance degrades gracefully during spikes.
• Uptime: Strong real-world uptime due to diversity of backends, though SLAs are still evolving.
• Scalability: No fixed plan quotas on premium; unlimited API keys allow you to segment traffic however you like.
• Redundancy: If one upstream node falls behind or stalls, others take over automatically.

Pros & cons of dRPC

For Monad, dRPC is a flexible option if you care about throughput and failover more than platform bells and whistles, and are comfortable adopting a newer provider.

5. Ankr

Ankr is a long-running Web3 infrastructure provider that offers RPC access via a distributed network of nodes across many regions and chains. For Monad, Ankr exposes both public and private RPC endpoints, giving you a simple path from experimentation to production.

Public endpoints are aimed at quick integration and light traffic, while private endpoints provide higher RPS, WebSockets, and better reliability. Because Ankr is multi-chain by design, it’s convenient if your stack touches several networks alongside Monad.

How much does Ankr cost?

• Freemium — free account tier with a small credit pool; still rate-limited similar to Public.
• Premium — from $10 per 100M credits, up to 1,500 RPS on private endpoints.
• Enterprise — custom pricing for higher RPS, regional routing, and SLAs.

Performance on Monad with Ankr

Ankr’s footprint includes many regions, and Monad traffic benefits from that distribution:

• Latency: Good regional latency on private endpoints; public endpoints are more variable.
• Throughput: Paid plans support high sustained RPS; public endpoints are tuned for low to moderate loads.
• Reliability: Mature network, with strong real-world uptime; SLAs available on enterprise.
• Multi-chain: You can run your Monad and other chain endpoints from the same console.

Pros & cons of Ankr

If you want a flexible, budget-friendly way to get Monad into an existing multi-chain stack, Ankr is a strong candidate. Public RPC is great for quick tests, and Premium private endpoints give you the performance you need once your app moves into production.

Deployment guide

1. Create a Chainstack account
2. Deploy a Monad node (mainnet or testnet)
3. Choose global, dedicated or unlimited configuration
4. Copy RPC & WSS URLs
5. Use in ethers.js / web3.py
6. Monitor usage via dashboard

Deployment takes under a minute – no infra overhead.

Power-boost your project on Chainstack

• Discover how you can save thousands in infra costs every month with our unbeatable pricing on the most complete Web3 development platform.
• Input your workload and see how affordable Chainstack is compared to other RPC providers.
• Connect to Ethereum, Solana, BNB Smart Chain, Polygon, Arbitrum, Base, Optimism, Avalanche, TON, Ronin, Plasma, Hyperliquid, Scroll, Aptos, Fantom, Cronos, Gnosis Chain, Klaytn, Moonbeam, Celo, Aurora, Oasis Sapphire, Polygon zkEVM, and Bitcoin mainnet or testnets through an interface designed to help you get the job done.
• Fast access to blockchain archive data and gRPC streaming on Solana.
• To learn more about Chainstack, visit our Developer Portal or join our Telegram group. 
• Are you in need of testnet tokens? Request some from our faucets. Sepolia faucet, Hoodi faucet, BNB faucet, zkSync faucet, Scroll faucet, Hyperliquid faucet.

Have you already explored what you can achieve with Chainstack? Get started for free today.

FAQ

What is a Monad RPC provider?

A Monad RPC provider lets your application interact with the Monad network without running your own node. It handles requests like sending transactions, reading contract state, fetching block data, subscribing to events, and accessing historical information over standard interfaces such as HTTP, WebSocket, or gRPC. A reliable RPC layer ensures your app stays in sync with the chain’s fast execution environment.

Why does Monad need specialized RPC infrastructure?

Monad is designed for parallel execution and high throughput. Generic or underpowered RPC setups often can’t keep pace with rapid block production and heavy state-access patterns. The network benefits from optimized routing, low-latency infrastructure, and high RPS capacity — otherwise, apps experience stale reads, missed event updates, or inconsistent performance during traffic spikes. A production-grade RPC provider fills this gap.

How do I choose the best Monad RPC provider?

Focus on measurable performance: latency stability, uptime guarantees, and throughput under load. Developer tooling and pricing transparency matter as well, especially if you’re building bots, analytics systems, or real-time applications. Chainstack simplifies this with predictable plans, dedicated and unlimited nodes, global routing, and detailed metrics to help you evaluate performance.

Can I use Monad RPC for free?

Yes. Several providers, including Chainstack, offer a free tier suitable for testing and small workloads. Once you move into production, private RPC endpoints provide higher RPS ceilings, better latency stability, SLAs, and features like archive access and WebSockets optimized for real-time usage.

Does Chainstack support real-time data streaming on Monad?

Yes. Chainstack supports WebSockets for real-time event streaming, block subscriptions, and contract updates. These capabilities help builders run trading bots, monitoring systems, and dashboards that require immediate reaction to on-chain changes.