Bridges supported
20+ providers
Covers canonical, liquidity, and messaging bridges used in production.
Avalanche C-Chain • India
Bridge Aggregator for protocol security teams
Plan and execute cross-chain transfers with aggregated routes, gas estimates, and risk scoring for major bridges. Focus on smart contract security, counterparty risk, and operational safeguards for treasuries and protocols. 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.
- Proactively identifying malicious approvals and upgrade patterns is tedious.
Key metrics
Route simulation time
< 2 seconds
Evaluate costs and SLAs before sending funds cross-chain.
Avalanche C-Chain profile
Low-latency chain favored by institutions and gaming subnets.
Gas remains predictable around 25 nAVAX following fee-burn adjustments.
Unique insights
- Avalanche C-Chain: Gas remains predictable around 25 nAVAX following fee-burn adjustments. 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 risk & security analysts workflows with fewer false positives in alerting systems..
- For protocol security teams, 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
Proactively identifying malicious approvals and upgrade patterns is tedious. Fewer false positives in alerting systems.
Avalanche C-Chain focus
Trader Joe, Benqi, and Evergreen institutions rely on transparent TVL metrics. 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.