Mobula is built for speed. We continuously benchmark our infrastructure against other crypto data aggregators to ensure we deliver the fastest, most reliable data.Documentation Index
Fetch the complete documentation index at: https://docs.mobula.io/llms.txt
Use this file to discover all available pages before exploring further.
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 |
All metrics are available in real-time on the Live Dashboard. Check it out for the latest numbers!
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 |
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
The following metrics are tracked in real-time on the Grafana dashboard. Mobula vs Codex vs GeckoTerminal (and DEX aggregators for quotes):| Metric | What it measures | Compared to |
|---|---|---|
| Pool Discovery | Time from on-chain deploy to aggregator detection. Tracked on Pump.fun, Meteora, Four.meme, BAGS, Moonshot (Solana, BNB). | Codex, GeckoTerminal |
| Head Lag | Delay between latest blockchain block and aggregator sync (Solana, BNB, Base). | Codex, GeckoTerminal |
| REST API Latency | Response time for token data endpoints (p50, p95). | Codex, GeckoTerminal |
| Quote API Latency | Swap quote response time (Solana, Ethereum, Base, BNB, Arbitrum). | Jupiter, OpenOcean, ParaSwap, Li.Fi, KyberSwap |
| Metadata Coverage | % of tokens with logo, description, twitter, website. | Codex, GeckoTerminal, Jupiter |
View Live Dashboard
Real-time Grafana dashboards with all metrics above — updated continuously.
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
| Service | URL | Credentials |
|---|---|---|
| Grafana | http://localhost:3000 | admin/admin |
| Prometheus | http://localhost:9090 | - |
| Metrics | http://localhost:2112/metrics | - |
Transaction Coverage Benchmark
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.
Get Started with Mobula
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Cookbooks
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