Bridges supported
20+ providers
Covers canonical, liquidity, and messaging bridges used in production.
Ethereum Mainnet • Southeast Asia
Bridge Aggregator for high-frequency DeFi trading desks
Plan and execute cross-chain transfers with aggregated routes, gas estimates, and risk scoring for major bridges. Manages positions across DEX venues, farming programs, and on-chain derivatives with a high tolerance for volatility and a need for speed. Deliver timely, data-rich updates to LPs, token holders, and partners. Indonesia, Vietnam, and Singapore drive retail and institutional demand with strong gaming ecosystems.
- Compare bridge routes by cost, latency, and slippage across approved providers.
- Pre-compute gas requirements on source and destination chains before signing.
- Surface trust and risk annotations (custodial vs. canonical) to guide treasury decisions.
- Fragmented liquidity and sudden gas spikes erode trade execution.
Key metrics
Route simulation time
< 2 seconds
Evaluate costs and SLAs before sending funds cross-chain.
Ethereum Mainnet profile
Deepest liquidity and broadest institutional adoption.
Base fees typically 15–40 gwei outside of NFT drops; priority fees ~1–2 gwei.
Unique insights
- Ethereum Mainnet: Base fees typically 15–40 gwei outside of NFT drops; priority fees ~1–2 gwei. Pair this with bridge aggregator to curated dashboards highlighting tvl, exchange depth, and wallet cohorts..
- Southeast Asia: MAS and other regulators push for strict risk disclosures and capital reserve reporting. Align active defi traders workflows with tighter slippage and lower transaction costs per trade..
- For high-frequency DeFi trading desks, emphasize Combines official bridge APIs with failover paths from aggregators such as LI.FI and Jumper. and track Frequency and quality of market structure updates delivered to stakeholders. weekly.
Why teams rely on this tool
Core capabilities
Compare bridge routes by cost, latency, and slippage across approved providers. Pre-compute gas requirements on source and destination chains before signing. Surface trust and risk annotations (custodial vs. canonical) to guide treasury decisions.
Audience fit
Fragmented liquidity and sudden gas spikes erode trade execution. Tighter slippage and lower transaction costs per trade.
Ethereum Mainnet focus
Uniswap, Lido, EigenLayer, and Aave drive high-value flow and require precise gas timing. Curated dashboards highlighting TVL, exchange depth, and wallet cohorts.
Operational playbook
- 1Select source and destination chains plus desired asset.
- 2Review recommended routes, fees, and historical reliability signals.
- 3Execute the preferred route and monitor confirmation status in real time.
Use cases
Curated dashboards highlighting TVL, exchange depth, and wallet cohorts. Partnerships rely on community activations and localized education events.
Narrative-ready charts for newsletters, board decks, and AMA sessions. Partnerships rely on community activations and localized education events.
Automated FAQ documentation pulling from transaction decoders and glossaries. Partnerships rely on community activations and localized education events.
Proof points
- Treasury teams evaluate safest paths before moving eight-figure balances.
- Market makers rebalance inventory with minimal downtime.
- Community managers publish recommended routes during ecosystem events.
ChainUnified tools that pair well
Related pages
Frequently asked questions
How do you score bridge risk?
We combine public incident databases, chain security advisories, and on-chain telemetry to weight each provider.
Can I enforce treasury policies?
Upload policy rules (allowed chains, minimum confirmations, spend limits) to block non-compliant routes.
Do you support multi-hop bridges?
Yes. Aggregated routes consider intermediary hops when they reduce cost or improve settlement time.