StellarExpert vs XRPScan

Name: StellarExpert vs XRPScan OpenChainBench measurements
Creator: OpenChainBench
License: https://creativecommons.org/licenses/by/4.0/

XRPScan leads on the only live benchmark. XRPScan wins on Best wallet labeling API provider (79.5% vs 79.5%).

Read methodology Last measured Wed, 19 Aug 2026 01:10:26 UTCWindow: rolling 24h1 shared benchmark

StellarExpert

Block explorer for the Stellar network. Provides a directory API of curated account labels, anchors, and known issuers.

XRPScan

Block explorer for the XRP Ledger. Offers a public REST API with account info and known wallet names via its names endpoint.

Side by side measurements

Best wallet labeling API provider

Aggregators

StellarExpert

Trails

79.5 %

p99: 79.5%
rank: #3
samples: 351

XRPScan

Leads

79.5 %

p99: 79.5%
rank: #2
samples: 352

Coverage means the provider returned a non-empty label for the probed address, it says nothing about label quality or correctness. Read the EOA vs contract split before concluding: a provider can look strong overall while only labeling contracts (verified-source names) and missing every wallet. The Success column is fetch reliability (share of API calls that did not error), not labeling accuracy.

Frequently asked questions

StellarExpert vs XRPScan: which one is better?

StellarExpert and XRPScan are compared on 1 shared OpenChainBench benchmarks. XRPScan leads on Best wallet labeling API provider. See the live table on this page for every metric.

Which is more reliable, StellarExpert or XRPScan?

On the Best wallet labeling API provider benchmark, XRPScan leads at 79.5% versus StellarExpert at 79.5%. Live measurement is updated continuously by the OpenChainBench harness.

How is the StellarExpert vs XRPScan comparison measured?

Every benchmark on this page uses the same open methodology, published at https://openchainbench.com/methodology. Data is CC-BY-4.0. Measurement harnesses are MIT-licensed.

How this pair was selected

Auto-generated pairs require: both providers in the same benchmark for seven consecutive days, at least 1000 samples per provider, observable third-party search demand, and a public /products/[slug] page on OCB. Editorially curated pairs (like this one) may publish early when search demand is high and data is accruing — panels with fewer than 100 samples are shown as provisional. The full pair ledger is versioned in the public repo.