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
- Tenderly
- PublicNode
- dRPC
- NodeReal
- Blast API
- Merkle
- MEV Blocker
- Cloudflare
- 1RPC
Side by side
1h window · 60 minutes observed · generated 2026-08-27 20:22:21 UTC
| Metric | Tenderly | PublicNode | Merkle | Cloudflare |
|---|---|---|---|---|
| Rank | 1 | 2 | 6 | 8 |
| Score | 99.4 | 93.2 | 71.4 | 47.2 |
| Status | Excellent | Excellent | Degraded | Poor |
| Availability | 100.00% | 100.00% | 100.00% | 23.07% |
| p50 latency | 17.7 ms | 25.4 ms | 108.7 ms | 17.9 ms |
| p95 latency | 31.2 ms | 56.0 ms | 181.6 ms | 99.0 ms |
| p99 latency | 61.0 ms | 127.1 ms | 194.9 ms | 277.2 ms |
| Correctness | 100.00% | 100.00% | 100.00% | 100.00% |
| Head lag | 0.52 blocks | 0.49 blocks | 0.65 blocks | no cohort |
| Rate limited | 0 | 0 | 278 | 0 |
| Unsupported | 0 | 0 | 2 | 47 |
| Samples | 1,587 | 1,619 | 400 | 1,601 |
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.
TenderlyvsPublicNode
+6.2points
- Latency+6.2
- Head freshness−0.0
- Availability+0.0
- Correctness+0.0
The parts add to +6.2, exactly — the score is a weighted sum, so it comes apart.
TenderlyvsMerkle
+28.0points
- Latency+27.9
- Head freshness+0.2
- Availability+0.0
- Correctness+0.0
The parts add to +28.0, exactly — the score is a weighted sum, so it comes apart.
TenderlyvsCloudflare
+52.1points
- Availability+29.7
- Latency+15.2
- Head freshness*+9.4
- Correctness−2.2
The parts add to +52.1, 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.