Best crypto data API for token metadata, live across Mobula, Codex, Jupiter
AggregatorsJupiter
No data in window
Mobula
Leads62.2 %
- p99
- 70.1%
- rank
- #1
- samples
- 75,142
Jupiter vs Mobula
Jupiter leads on the only live benchmark. Jupiter wins on Best DEX aggregator for quoting newly-launched tokens (94.5% vs 90.3%).
Jupiter
Solana swap aggregator. REST APIs for quotes, swap routing, price, and token lists across Solana DEXs.
Mobula
Onchain data aggregator covering 80+ chains. WebSocket fast-trade feed, REST market and metadata, wallet portfolio APIs.
Side by side measurements
Best DEX aggregator for quoting newly-launched tokens
AggregatorsJupiter
Leads94.5 %
- p99
- 94.5%
- rank
- #2
- samples
- 1,123
Mobula
Trails90.3 %
- p99
- 90.3%
- rank
- #3
- samples
- 1,914
Per chain
| Chain | Jupiter | Mobula |
|---|---|---|
| Solana | 94.5% | 86.0% |
Coverage means the aggregator returned a non-zero output amount for the probed token. It says nothing about quote quality, price accuracy or transaction success rate. A high score means the routing engine found at least one valid path. Latency is measured separately on evm-quote-latency and solana-dex-quote-latency. The token universe rotates hourly so the score reflects live indexer freshness, not a curated whitelist.
Frequently asked questions
Jupiter vs Mobula: which one is better?
Jupiter and Mobula are compared on 2 shared OpenChainBench benchmarks. Jupiter leads on Best DEX aggregator for quoting newly-launched tokens. See the live table on this page for every metric.
Which is more reliable, Jupiter or Mobula?
On the Best DEX aggregator for quoting newly-launched tokens benchmark, Jupiter leads at 94.5% versus Mobula at 90.3%. Live measurement is updated continuously by the OpenChainBench harness.
How is the Jupiter vs Mobula 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.
Related comparisons
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.