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Providers

Compare RPC providers on measured data

The top 4 on the chosen chain are compared by default. Pick your own — up to 4 — and the selection moves into the URL, so a comparison can be sent to someone else and they will see exactly what you saw.

Not sure who to compare?Start from who leads, then compareThe ranked answer per chain, with the figures that produced it.

Providers on Ethereum

Side by side

6h window · 6.0 hours observed · generated 2026-08-27 21:37:54 UTC

Selected providers compared across every measured metric
MetricPublicNodeBlast APIMerkle1RPC
Rank2569
Score94.678.470.80.0
StatusExcellentGoodDegradedPoor
Availability100.00%99.92%100.00%0.00%
p50 latency24.9 ms108.5 ms109.3 ms0.0 ms
p95 latency51.4 ms126.5 ms191.2 ms0.0 ms
p99 latency112.1 ms153.3 ms231.9 ms0.0 ms
Correctness100.00%100.00%100.00%not measured
Head lag0.47 blocks0.41 blocks0.59 blocksno cohort
Rate limited0641,4521,570
Unsupported00150
Samples9,2019,1142,1641,803

9 providers scored against each other.

Where the gap comes from

Two scores side by side say one is higher. This says why: the score is a weighted sum, so it comes apart, and each component’s share of the difference adds back to the difference exactly. Compared against PublicNode, the highest scorer of those selected.

PublicNodevsBlast API

+16.2points

  • Latency+16.2
  • Head freshness0.1
  • Availability+0.0
  • Correctness+0.0

The parts add to +16.2, exactly — the score is a weighted sum, so it comes apart.

PublicNodevsMerkle

+23.8points

  • Latency+23.7
  • Head freshness+0.1
  • Availability+0.0
  • Correctness+0.0

The parts add to +23.8, exactly — the score is a weighted sum, so it comes apart.

PublicNodevs1RPC

+94.6points

  • Availability+40.0
  • Latency*+25.2
  • Correctness*+20.0
  • Head freshness*+9.4

The parts add to +94.6, exactly — the score is a weighted sum, so it comes apart. Components marked * were measured for only one of the two; the other’s weight is spread across what it does have, which is why the two sides can carry different weights for the same row.

Latency over time