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.
Providers on Ethereum
Side by side
6h window · 6.0 hours observed · generated 2026-08-27 12:28:27 UTC
| Metric | Tenderly | NodeReal | Merkle | 1RPC |
|---|---|---|---|---|
| Rank | 1 | 4 | 6 | 9 |
| Score | 99.4 | 82.5 | 69.9 | 0.0 |
| Status | Excellent | Good | Degraded | Poor |
| Availability | 99.93% | 100.00% | 100.00% | 0.00% |
| p50 latency | 19.6 ms | 87.8 ms | 106.8 ms | 0.0 ms |
| p95 latency | 35.1 ms | 99.8 ms | 203.3 ms | 0.0 ms |
| p99 latency | 126.4 ms | 123.4 ms | 231.3 ms | 0.0 ms |
| Correctness | 100.00% | 100.00% | 100.00% | not measured |
| Head lag | 0.47 blocks | 0.34 blocks | 0.50 blocks | no cohort |
| Rate limited | 0 | 0 | 1,433 | 1,529 |
| Unsupported | 0 | 0 | 17 | 0 |
| Samples | 8,871 | 8,717 | 2,099 | 1,750 |
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 Tenderly, the highest scorer of those selected.
TenderlyvsNodeReal
+16.9points
- Latency+17.0
- Head freshness−0.2
- Availability−0.0
- Correctness+0.0
The parts add to +16.9, exactly — the score is a weighted sum, so it comes apart.
TenderlyvsMerkle
+29.5points
- Latency+29.5
- Head freshness+0.0
- Availability−0.0
- Correctness+0.0
The parts add to +29.5, exactly — the score is a weighted sum, so it comes apart.
Tenderlyvs1RPC
+99.4points
- Availability+40.0
- Latency*+30.0
- Correctness*+20.0
- Head freshness*+9.4
The parts add to +99.4, 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.