Crosschain intents are essential to the DeFi user experience, but they ultimately depend on how solvers, onchain intermediaries that fulfill users' requests (e.g., transfer USDC from Ethereum to Solana), carry out the execution.
Protocol teams evaluating solver partners must assess how well each can execute orders and maintain sufficient liquidity across various chains.
So, in this article, we're laying out a practical way to evaluate a cross-chain solver. We'll cover the basics of solvers, what key factors institutional-grade execution depends on, and what the RockawayX approach is.
What Solvers Actually Do in Practice
In an intent-based system, users specify the outcome they want, and solvers compete to execute it. From the outside, that can look pretty straightforward, but in practice, the solver has to price the request, determine whether capital is already on the destination chain, account for settlement risk, and land the transaction before a competitor does.
Why Cross-Chain Execution Is Hard
Cross-chain execution is hard because liquidity is typically fragmented before users ever show up.
That's because, for teams operating solvers across multiple chains, capital has to be present across them at constantly changing levels. This intensive liquidity management turns the solver business into an always-on operational job. If liquidity isn’t present on the chain where needed, the solver will miss out on fulfilling the present order.
The infrastructure side compounds that. A production solver stack has to coordinate wallets, signers, monitoring, network connectivity, auction logic, and settlement paths across multiple chains in parallel. When those systems drift out of sync, fill reliability can drop fast. In practice, solver competition is usually decided by how well a team manages capital placement, latency, and operational risk under load.
Why Most Solvers Hit a Ceiling
Many solvers can handle light flow, but far fewer keep performing when order sizes grow, volumes spike, or multiple chains need liquidity at once.
The first ceiling is capital, because without ready liquidity, the solver depends on external capital movements. Each added dependency can introduce delay, slippage, or failure.
The second ceiling is infrastructure, where being "good enough" in auctions still loses time-sensitive bids. Inconsistent systems also create variance, which makes pricing and risk management harder.
That's why, at RockawayX, we've constructed purpose-built hardware for solver operations instead of using generic cloud abstractions. We're able to optimize each detail of our stack for performance, and as such, can run solvers capable of handling outsized demand.
What To Consider When Evaluating Institutional Solver Options
An institutional solver pairs capital, infrastructure, and engineering in a way that holds up at scale.
Capital Depth and Liquidity Readiness
The first requirement is available capital. For cross-chain orders, liquidity often needs to be ready before the user submits the request. Importantly, you should consider liquidity readiness in demand spikes, not just normal periods.
What's backstopping the solver in the case that immediately-available liquidity dries up?
At RockawayX, our solver operation is backed by available liquidity from our Credit Fund. That available capital helps a solver keep filling during volume spikes instead of stepping away. We've also implemented Circle Gateway, enabling us to consolidate fragmented USDC balances into a single, unified crosschain balance — deploying capital just-in-time rather than pre-funding on a chain-by-chain basis, and capturing larger and more variable order flow opportunities than would otherwise be practical.
Bare-Metal Infrastructure and Deterministic Settlement
For solver operations, reducing jitter, avoiding shared-resource contention, and building a predictable stack matter more than peak speed alone.
That’s why the second main consideration for what solver to use is infrastructure ownership. At RockawayX, we don’t use any cloud services for our core infrastructure. Instead, we rely on bare-metal servers in high-security locations we oversee.
Dedicated Engineering and Long-Term Support
The third requirement is engineering continuity. Strong solver partners help design settlement systems, test bottlenecks, shape liquidity programs, and keep improving the execution layer after launch.
We operate on a longer-term model that includes system design, custom product development, performance testing, initial liquidity support, and ongoing maintenance.
That matters because protocols need solvers that can adapt when routes change, chains expand, or user demand shifts.
Summary: What Protocols Should Look for in a Solver Partner
A solver evaluation process should focus on operating evidence.
A practical evaluation checklist should also include the uncomfortable questions.
- How does the team behave emotionally when markets are stressed?
- How often does capital need to be rebalanced?
- What happens when a new chain is added?
- Which parts of the stack are owned by the team, and which depend on third parties?
These tend to reveal more than a polished pitch deck.
The RockawayX Approach to Running Institutional Cross-Chain Solvers
Our solvers model is built on three pillars: liquidity, infrastructure, and engineering.
On execution, our solver operation has a 99.99% fill rate, more than $3B in cross-chain transaction volume, and is active across eleven chains. On infrastructure, we rely on owned bare-metal servers with no cloud dependencies for performance-sensitive systems. In partnership, we treat solving as a collaborative, ongoing engagement instead of a vendor transaction.
“RockawayX is the kind of team you want in your corner — smart, collaborative, and genuinely committed to building long-term. We’ve worked with a lot of partners over the years, and RockawayX stands out for their clarity of vision and ability to move fast without losing focus. They get what it means to be builders, and that makes all the difference.”— Robinson Burkey, Co-Founder, Wormhole
This matters most for protocols that want more than a point-in-time solution. If you're launching or scaling an intents-based product, your solver partner needs to support user experience, liquidity reliability, and system resilience at the same time.
Our work with Wormhole is a prime demonstration of what this looks like in practice. Together, we launched Wormhole Settlement as a near-instant transfer system built on intents.
Conclusion
Solver quality is an institutional capability question — and most teams only discover that after they've already chosen the wrong partner.
The gap between a solver that processes orders occasionally and one that delivers consistent, high-volume fill rates across multiple chains comes down to a few durable fundamentals: capital that's ready when demand spikes, infrastructure that doesn't introduce variance under load, and an engineering team that stays engaged after launch.
These aren't qualities that show up in a demo. They show up when markets move fast, when a new chain needs to be onboarded in days instead of months, or when a large order arrives that most solvers would have to step away from. That's when the difference between a generic solver and an institutional one becomes real.
At RockawayX, we've built our solver operation to hold up precisely in those moments — backed by deep liquidity reserves, purpose-built bare-metal infrastructure, and a partnership model that treats your execution layer as something we co-own, not just service.
If you're evaluating solver partners for an intents-based product, we're happy to walk through how we approach it. Reach out to the RockawayX team to start the conversation.
FAQs
What Is an Institutional Crypto Solver?
An institutional crypto solver is a solver operation built to handle cross-chain volume with dependable capital, low-latency infrastructure, and dedicated engineering support. Instead of competing only on routing logic, it competes on fulfillment quality, liquidity readiness, and operational resilience.
Why Does Capital Depth Matter for Solver Fill Rate?
Capital depth matters because cross-chain orders often require funds to be ready before demand arrives. If a solver has to wait for external liquidity or reposition capital too slowly, fill rate drops and user experience suffers.
What Makes Bare-Metal Solver Infrastructure Valuable?
Bare-metal infrastructure can reduce latency variance, improve hardware control, and make settlement behavior more predictable. In moments when there’s a large spike in order quantity that could overload systems (RockawayX has seen some solvers consider these to be DDoS attacks while its system continued to process orders without problems), predictable performance can matter as much as raw speed.
How Should a Protocol Evaluate a Cross-Chain Solver?
A protocol should assess fill reliability, production volume, multi-chain coverage, liquidity readiness, security design, and the quality of engineering support. The best evaluation looks for operating evidence rather than generic claims about intent-based architecture.
How Is RockawayX Positioned in DeFi Solver Competition?
RockawayX's solver operation is built around three strengths: deep liquidity, owned infrastructure, and hands-on engineering support. We maintain a 99.99% fill rate, with more than $3B in cross-chain transaction volume across eleven chains, and have demonstrated this model through work like near-instant settlement with Wormhole.
