Bridges supported
20+ providers
Covers canonical, liquidity, and messaging bridges used in production.
Optimism • India
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. Ensure contracts, liquidity, and community messaging are coordinated for a resilient launch. Developer density is high with an increasing number of local exchanges and gaming studios.
- 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.
Optimism profile
OP Stack ecosystem aligned with governance, public goods, and Coinbase transactors.
Transaction cost typically under $0.15 after Bedrock upgrade.
Unique insights
- Optimism: Transaction cost typically under $0.15 after Bedrock upgrade. Pair this with bridge aggregator to pre-launch dry runs with multi-chain contract simulation and gas forecasts..
- India: TDS rules on virtual digital assets require precise transaction logs and counterparty data. 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 Time to deploy audited contracts across priority networks. 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.
Optimism focus
Velodrome, Base bridge, and retroactive funding flows dominate volumes. Pre-launch dry runs with multi-chain contract simulation and gas forecasts.
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
Pre-launch dry runs with multi-chain contract simulation and gas forecasts. Tooling must optimize for mobile devices and integrate with INR on-ramp analytics.
Real-time dashboards for holder distribution and whale surveillance. Tooling must optimize for mobile devices and integrate with INR on-ramp analytics.
Automated documentation for investors and exchanges covering upgrades and approvals. Tooling must optimize for mobile devices and integrate with INR on-ramp analytics.
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.