Ethereum Mainnet • 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. Provide regulators and auditors with verifiable data on asset flows, ownership, and upgrade governance. 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

Bridges supported

20+ providers

Covers canonical, liquidity, and messaging bridges used in production.

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 continuous monitoring of allowance and upgrade activity with time-stamped notes..
  • 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 Completion of audit evidence requests without remediation findings. 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.

Ethereum Mainnet focus

Uniswap, Lido, EigenLayer, and Aave drive high-value flow and require precise gas timing. Continuous monitoring of allowance and upgrade activity with time-stamped notes.

Operational playbook

  1. 1Select source and destination chains plus desired asset.
  2. 2Review recommended routes, fees, and historical reliability signals.
  3. 3Execute the preferred route and monitor confirmation status in real time.

Use cases

Continuous monitoring of allowance and upgrade activity with time-stamped notes. Tooling must optimize for mobile devices and integrate with INR on-ramp analytics.

Automated transaction decoding for SAR/STR preparation. Tooling must optimize for mobile devices and integrate with INR on-ramp analytics.

Cross-referencing CEX proof-of-reserve feeds with on-chain holdings. 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.

Bridge Aggregator for Risk & security analysts in India | Compliance & reporting operations on Ethereum Mainnet