Bridges supported
20+ providers
Covers canonical, liquidity, and messaging bridges used in production.
Ethereum Mainnet • Southeast Asia
Bridge Aggregator for institutional liquidity providers
Plan and execute cross-chain transfers with aggregated routes, gas estimates, and risk scoring for major bridges. Desks providing on/off-chain liquidity that must balance inventory, minimize risk, and report to counterparties. Drive wallet activation, referrals, and retention with data-backed messaging and incentives. 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.
- Need precise transaction decoding and counterparty mapping across thousands of wallets.
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 audience segmentation based on wallet tenure, chain preference, and activity..
- Southeast Asia: MAS and other regulators push for strict risk disclosures and capital reserve reporting. Align market makers & liquidity desks workflows with tighter inventory hedging windows..
- For institutional liquidity providers, emphasize Combines official bridge APIs with failover paths from aggregators such as LI.FI and Jumper. and track Conversion rates from campaign wallets to active users. 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
Need precise transaction decoding and counterparty mapping across thousands of wallets. Tighter inventory hedging windows.
Ethereum Mainnet focus
Uniswap, Lido, EigenLayer, and Aave drive high-value flow and require precise gas timing. Audience segmentation based on wallet tenure, chain preference, and activity.
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
Audience segmentation based on wallet tenure, chain preference, and activity. Partnerships rely on community activations and localized education events.
Localized education assets and dictionary entries for campaign landing pages. Partnerships rely on community activations and localized education events.
Gas and liquidity monitoring around event windows to prevent friction. 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.