Bridges supported
20+ providers
Covers canonical, liquidity, and messaging bridges used in production.
zkSync Era • 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. Drive wallet activation, referrals, and retention with data-backed messaging and incentives. 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.
zkSync Era profile
Zero-knowledge rollup with rapidly evolving DeFi primitives.
Proof costs keep swaps between $0.10–$0.25 during typical network load.
Unique insights
- zkSync Era: Proof costs keep swaps between $0.10–$0.25 during typical network load. Pair this with bridge aggregator to audience segmentation based on wallet tenure, chain preference, and activity..
- 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 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
Proactively identifying malicious approvals and upgrade patterns is tedious. Fewer false positives in alerting systems.
zkSync Era focus
Early-stage liquidity mining campaigns require aggressive monitoring for spoofed volume. 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. Tooling must optimize for mobile devices and integrate with INR on-ramp analytics.
Localized education assets and dictionary entries for campaign landing pages. Tooling must optimize for mobile devices and integrate with INR on-ramp analytics.
Gas and liquidity monitoring around event windows to prevent friction. 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.