Bridge layer

Bridge Compare separates real multichain base from bridge narrative.

This route stays deliberately public and maintainable. It compares bridges on TVL, reach and protocol base because several flow endpoints no longer stay openly usable.

💡

Method note

Bridge Compare uses public DefiLlama data plus a curated bridge canon. That keeps wrapped assets out of the board and leaves only rails that matter for transport risk.

Bridges

6

structural canon

Bridge TVL

$12.7B

operating sample

Average reach

7.8

chains per rail

Positive 7d

4

rails expanding

Structural lenses

Start with transport model, operator control and reach quality before using TVL as a comfort signal.

Set topology

2 rails live in a canonical or venue-heavy model; the rest depend more on liquidity, messaging or intents.

Operational control

2 names still carry high operator control. That risk does not disappear just because TVL is larger.

Useful reach

4 rails cover five or more chains, but reach quality depends on settlement and messaging, not just a chain counter.

Operating profiles

Operating profiles

These cards compress the useful read: what the bridge is, how concentrated the path stays and what deserves slower review.

needs more context

Coinbase Bridge

64/100
$5.7B 5 chains

canonical route / high control / Multi-Chain

The real risk is not only smart contracts; custody, freeze posture and operator dependence matter too.

needs slower review

Hyperliquid Bridge

58/100
$4.6B 2 chains

venue bridge / high control / Multi-Chain

It should be read as platform and exit risk, not as comfort driven by aggregated TVL.

needs more context

Portal

61/100
$1.9B 24 chains

liquidity bridge / medium control / Multi-Chain

Wide reach does not mean lower risk when the route depends on more liquidity, routes and finality assumptions.

needs more context

Stargate

60/100
$480M 4 chains

liquidity bridge / medium control / Multi-Chain

Risk concentrates in pools, messaging and configuration changes, not only in TVL.

cleaner defensive gate

Across

69/100
$35M 6 chains

intent bridge / medium control / Ethereum

The defensive read runs through relayers, backstop and fast-route composition, not APY or marketing.

needs more context

deBridge

63/100
$11M 6 chains

intent bridge / medium control / Multi-Chain

Its upside is flexibility; the tradeoff is reviewing validators, messaging and real route coverage.

Bridge comparison

Source: DefiLlama + curated bridge universe

Bridge comparison

Bridge Model TVL Reach 7d Risk gate
Coinbase Bridge canonical route $5.7B 5 +4.0% 64/100 / needs more context
Hyperliquid Bridge venue bridge $4.6B 2 -3.7% 58/100 / needs slower review
Portal liquidity bridge $1.9B 24 +14.9% 61/100 / needs more context
Stargate liquidity bridge $480M 4 +2.4% 60/100 / needs more context
Across intent bridge $35M 6 +9.1% 69/100 / cleaner defensive gate
deBridge intent bridge $11M 6 -5.3% 63/100 / needs more context

Curated comparison

The comparison leaves out wrappers and names that distort the bridge category. This board keeps rails that actually matter for moving capital across domains.

What it solves

It separates canonical routes, intent bridges and liquidity rails before the reader mistakes reach for safety.

Risk gate

Read bridges through Risk Lab

Bridge risk stays closer to messaging and operational exposure than to plain TVL comfort.

Open Risk Lab ->

Protocol layer

Protocol Compass

Use the protocol route when you need category context before comparing bridge-specific footprints.

Open Protocol Compass ->

Governance

Execution context

Some bridge risk still sits in governance and upgrade control, not only in the bridge architecture itself.

Open governance ->