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
6h window · 6.0 hours observed · generated 2026-08-27 21:05:00 UTC
| Metric | Tenderly | Blast API | Merkle | Cloudflare |
|---|---|---|---|---|
| Rank | 1 | 5 | 6 | 8 |
| Score | 99.4 | 78.4 | 70.8 | 47.2 |
| Status | Excellent | Good | Degraded | Poor |
| Availability | 100.00% | 99.91% | 100.00% | 23.12% |
| p50 latency | 19.3 ms | 108.8 ms | 110.1 ms | 17.5 ms |
| p95 latency | 32.8 ms | 126.9 ms | 191.2 ms | 100.6 ms |
| p99 latency | 58.0 ms | 154.0 ms | 236.0 ms | 277.2 ms |
| Correctness | 100.00% | 100.00% | 100.00% | 100.00% |
| Head lag | 0.47 blocks | 0.41 blocks | 0.62 blocks | no cohort |
| Rate limited | 0 | 62 | 1,308 | 0 |
| Unsupported | 0 | 0 | 12 | 244 |
| Samples | 8,235 | 8,231 | 1,949 | 8,234 |
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.
TenderlyvsBlast API
+21.0points
- Latency+21.0
- Head freshness−0.1
- Availability+0.0
- Correctness+0.0
The parts add to +21.0, exactly — the score is a weighted sum, so it comes apart.
TenderlyvsMerkle
+28.6points
- Latency+28.5
- Head freshness+0.2
- Availability+0.0
- Correctness+0.0
The parts add to +28.6, exactly — the score is a weighted sum, so it comes apart.
TenderlyvsCloudflare
+52.3points
- Availability+29.7
- Latency+15.3
- Head freshness*+9.4
- Correctness−2.2
The parts add to +52.3, 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.