Benchmarks

Mobula is built for speed. We continuously benchmark our infrastructure against other crypto data aggregators to ensure we deliver the fastest, most reliable data.

Live Results: View real-time benchmarks at openchainbench.comOpen Source: The benchmark suite is fully open source at github.com/ChainBench/OpenChainBench

What We Measure

We track multiple metrics to provide a comprehensive view of aggregator performance:

Benchmark	Description
Transaction Coverage	Unique transaction hashes captured per token (the ground truth)
Pool Discovery	Time between on-chain token deployment and aggregator detection
Head Lag	Delay between latest blockchain block and aggregator sync
REST API Latency	Response time for REST API endpoints
Quote API Latency	Response time for swap quote endpoints (vs DEX aggregators)
Metadata Coverage	Percentage of tokens with logo, description, social links

Latency and coverage metrics are published in real time on OpenChainBench, the open benchmark suite we built and open-sourced.

Transaction Coverage — Competitive Analysis

Solana is the critical chain. The fragmentation is structural: traders route through aggregators like Jupiter that bundle swaps across multiple DEXs simultaneously. On EVM chains, most volume flows through Uniswap or PancakeSwap directly — every provider indexes those reliably. Beyond coverage, each provider has a structural limitation that matters in production:

Provider	Solana coverage	EVM coverage	Critical limitation
Mobula	Reference	Complete	None
Bitquery	-11% to -13%	Perfect	10k trades hard cap, no pagination
Codex	-22% to -25%	Perfect	10 trades/page (60s for 296 TX)
Moralis	-48% to -57%	Good	Not viable on Solana

Bitquery is fastest but truncates silently above 10,000 trades. Codex pagination at 10 results per page makes it unusable at volume. Mobula has no artificial cap.

Transaction Hashes — 10 min Windows

We tested Mobula, Moralis, Bitquery, and Codex on 8 tokens across Solana, Ethereum, BSC, and Base using 10-minute windows. The metric: unique transaction hashes — not total trade count, which varies depending on how each provider handles multi-leg swaps.

Chain	Token	Mobula	Bitquery	Codex	Moralis
Solana	Nana	166 TX	144 TX (-13%)	125 TX (-25%)	72 TX (-57%)
Solana	Oilinu	107 TX	95 TX (-11%)	83 TX (-22%)	51 TX (-52%)
Ethereum	OIL	26 TX	26 TX (0%)	26 TX (0%)	26 TX (0%)
Ethereum	Kimchi	7 TX	7 TX (0%)	7 TX (0%)	6 TX (-14%)
BSC	MILADY	27 TX	27 TX (0%)	26 TX (-4%)	25 TX (-7%)
BSC	ARK	296 TX	296 TX (0%)	296 TX (0%)	205 TX (-31%)
Base	Broke	41 TX	41 TX (0%)	41 TX (0%)	39 TX (-5%)
Base	LANCER	166 TX	166 TX (0%)	167 TX (+0.6%)	164 TX (-1%)

Full benchmark code (independently testable): github.com/Flotapponnier/token-trade-benchmark-

Live Metrics — Latency & Coverage

These are measured continuously on OpenChainBench, the open benchmark suite we built and open-sourced. Every badge below is live and links to the leaderboard, methodology and source.

Mobula on OpenChainBench: price head lag

Head lag is the delay between the latest chain block and aggregator sync. Mobula ranks first among the measured aggregators, with a p50 head lag of 0.8 s.

Mobula on OpenChainBench: bridge quote latency

Bridge quote latency is the response time for cross-chain quote requests. Mobula ranks first of five providers, at around 210 ms p50.

Mobula on OpenChainBench: token metadata coverage

Metadata coverage is the share of tokens with logo, description and social links. Mobula ranks first among the measured aggregators.

Methodology

Transaction coverage: unique TX hashes in 10-minute windows, same tokens queried simultaneously across all providers
Latency: real-time monitoring via WebSocket + REST polling, Prometheus metrics, Grafana visualization
Same events compared across all aggregators at the same time
Multiple chains tested: Solana, Ethereum, BSC, Base, Arbitrum

Tracked Aggregators

Aggregator	TX Coverage	Pool Discovery	Head Lag	REST API	Quote API	Metadata
Mobula	✅	✅	✅	✅	✅	✅
Codex	✅	✅	✅	✅	-	✅
GeckoTerminal	-	✅	✅	✅	-	✅
Bitquery	✅	-	-	-	-	-
Moralis	✅	-	-	-	-	-
Jupiter	-	-	-	-	✅ (Solana)	✅ (Solana)
OpenOcean	-	-	-	-	✅ (EVM)	-
ParaSwap	-	-	-	-	✅ (EVM)	-
Li.Fi	-	-	-	-	✅ (EVM)	-
KyberSwap	-	-	-	-	✅ (EVM)	-

Run Your Own Benchmark

Want to verify the results yourself? Both benchmark tools are fully open-source.

Latency Benchmark

The benchmark suite is open source. The harness code lives in the OpenChainBench repository, under harnesses/aggregator-latency-benchmark. Live results and methodology are published at openchainbench.com.

Transaction Coverage Benchmark

git clone https://github.com/Flotapponnier/token-trade-benchmark-.git
cd token-trade-benchmark-
# Follow README for setup

Why These Metrics Matter

Transaction Coverage

Missing trades = wrong PnL, wrong volume, wrong analytics. On Solana, the gap between providers is 25-57%.

Pool Discovery

Faster detection of new tokens = first-mover advantage on new launches. Critical for trading bots and snipers.

Head Lag

Lower head lag = more accurate real-time data. Essential for live price feeds and position monitoring.

API Latency

Faster API responses = better UX. Important for dashboards, portfolio trackers, and trading interfaces.

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