Align the same update
Match the same block, log, oracle update, or relevant state change across every measured endpoint.
Ethereum RPC delivery & redundancy assessment
Measure how your Ethereum RPC endpoints perform alone and together
Benchmark your RPC setup against QuantLoop's reference fleet across event coverage, visibility latency, stale-view exposure, head-replacement timing, and shared tail risk.
Independent measurement. No proxying. No production traffic changes.
The problem
Redundant endpoints do not guarantee timely Ethereum data
Real-time Ethereum systems depend on when new heads, contract events, and relevant state changes reach their infrastructure. Redundancy only helps when one endpoint remains timely as another degrades.
Ethereum data reaches endpoints at different times
The same contract event or state update can become visible through different endpoints hundreds of milliseconds or seconds apart. That delay becomes part of an offchain system's reaction time.
Responsive endpoints can still expose stale views
An endpoint can be online and responsive while trailing the freshest observed chain view long enough to affect downstream decisions.
Endpoints can lag on the same updates
A second endpoint adds protection only when it stays timely on updates that delay the first. If both lag together, redundancy provides little additional protection.
The measurement
Measure every endpoint against the same Ethereum update
QuantLoop aligns identical blocks, logs, oracle updates, and relevant state changes across your endpoints and its reference fleet, then compares endpoint and pair-level behavior.
Oracle update becomes visible
Relative Ethereum data visibility
External referenceT0
Endpoint A+140 ms
Endpoint B+460 ms
Endpoint C+510 ms
Measure endpoint behavior
Compare when the update became visible through each endpoint, whether any endpoint missed it, and what each endpoint reported during head replacements.
Evaluate redundancy
Measure the coverage and latency gained by combining endpoints, and how often both endpoints are delayed on the same updates.
Assess your infrastructure or benchmark providers
Assessment of your RPC infrastructure
Measure Ethereum blocks and selected contract events across your production endpoints, routers, or dedicated nodes. Compare their delivery behavior with QuantLoop's reference fleet, then measure how each endpoint combination changes event coverage, effective latency, and shared tail risk.
Your production endpoints included
Ethereum blocks and selected contract events
Comparison with QuantLoop's reference fleet
Endpoint-pair redundancy analysis
Executive risk summary
EXTERNAL BENCHMARK
External provider benchmark
Compare Ethereum block delivery across providers already observed by QuantLoop's reference fleet, without integrating your own infrastructure.
QuantLoop reference fleet only
Ethereum blocks only
Provider and regional comparison
Provider-pair redundancy analysis
Does not include your production endpoints or contract-event measurements.
Sample dashboard
Preview the assessment dashboard
Preview the delivery, freshness, and endpoint-pair metrics included in the assessment.
Shared tail slowdowns
Illustrative dataSee how often both endpoints are unusually slow on the same Ethereum update.
| Endpoint | Endpoint A | Endpoint B | Endpoint C | Endpoint D |
|---|---|---|---|---|
| Endpoint A | — | 45% | 12% | 24% |
| Endpoint B | 45% | — | 10% | 31% |
| Endpoint C | 12% | 10% | — | 8% |
| Endpoint D | 24% | 31% | 8% | — |
For Endpoint A and Endpoint C, that fell to 12%, suggesting Endpoint C adds more protection when Endpoint A slows down.
How it works
Independent measurement without entering your production path
- 1
Define the scope
Tell QuantLoop which providers, regions, production endpoints, and Ethereum updates matter to your infrastructure.
- 2
Observe the same updates
QuantLoop independently records when the same Ethereum blocks, logs, contract events, or relevant state updates become visible through each measured endpoint.
- 3
Compare individual and combined behavior
Measure each endpoint's relative visibility lag and quantify how coverage and tail latency change when endpoints are combined.
- 4
Review the assessment
Use the interactive dashboard to compare endpoint behavior, evaluate endpoint combinations, and assess whether the measured redundancy design reduces delivery risk.
Methodology
Built on reproducible Ethereum observations
QuantLoop preserves the underlying observations and reconstructs comparable event timelines so results can be replayed and investigated.
- Event-centric measurement
- Relative timing across endpoints
- Deterministic, replayable processing
- Consistent event sets across endpoint comparisons
- Historical evidence preserved for investigation