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 12:29:48 UTC
| Metric | Tenderly | NodeReal | Merkle | Cloudflare |
|---|---|---|---|---|
| Rank | 1 | 4 | 6 | 8 |
| Score | 99.4 | 83.1 | 70.5 | 48.6 |
| Status | Excellent | Good | Degraded | Poor |
| Availability | 100.00% | 100.00% | 100.00% | 23.29% |
| p50 latency | 21.0 ms | 87.4 ms | 112.0 ms | 17.0 ms |
| p95 latency | 34.2 ms | 98.8 ms | 204.6 ms | 93.7 ms |
| p99 latency | 66.8 ms | 120.9 ms | 217.6 ms | 140.9 ms |
| Correctness | 100.00% | 100.00% | 100.00% | 100.00% |
| Head lag | 0.50 blocks | 0.32 blocks | 0.20 blocks | no cohort |
| Rate limited | 0 | 0 | 253 | 0 |
| Unsupported | 0 | 0 | 2 | 48 |
| Samples | 1,622 | 1,584 | 368 | 1,615 |
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
+16.3points
- Latency+16.5
- Head freshness−0.2
- Availability+0.0
- Correctness+0.0
The parts add to +16.3, exactly — the score is a weighted sum, so it comes apart.
TenderlyvsMerkle
+28.9points
- Latency+29.3
- Head freshness−0.4
- Availability+0.0
- Correctness+0.0
The parts add to +28.9, exactly — the score is a weighted sum, so it comes apart.
TenderlyvsCloudflare
+50.8points
- Availability+29.7
- Latency+13.9
- Head freshness*+9.4
- Correctness−2.2
The parts add to +50.8, 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.