Integra is trying to build a pretty ambitious full-stack “operating system” for real estate onchain. The vision is that AI agents, not humans, can actually transact, manage, and price property.
The “AI primitives” such as the Asset Passport, Agent Passport, iRWA are the core building blocks that make that possible. They are trying to do three things simultaneously, in the quest to tokenize real estate.
- Asset Passport → make property legible to machines
- Agent Passport → make AI trustworthy economic actors
- iRWA → unify fragmented liquidity
Let's first focus on the Asset Passport and a simple idea! Real estate is notoriously messy, fragmented, and difficult to verify, and that makes it hard to digitize or trade efficiently.
An Asset Passport acts as a unified digital identity for a property, bringing together everything that would normally be scattered across brokers, legal offices, and data rooms.
It includes ownership history, legal documentation like titles and filings, valuation reports and audits, as well as physical information such as location, images, and inspection records.
It layers in compliance metadata so the asset can be used within regulatory constraints. All of this is structured into a hybrid system, where some data lives onchain and some offchain, but the whole package is cryptographically verifiable.
The result is a property that can be queried, validated, and interacted with programmatically, rather than manually pieced together each time someone wants to transact.
The Agent Passport is the second core primitive, and arguably one of the most important because it gives AI agents something they’ve never really had before: economic identity.
Instead of being stateless tools or one-off scripts, agents get a persistent on-chain identity, a reputation history that carries across actions, financial stake in the system, and clearly defined permissions with accountability baked in.
On Integra specifically, this identity is backed by staking. Agents put up the native token as a trust bond, which means bad behavior can lead to slashing, while good performance earns better access and lower fees over time.
That creates a direct link between how an agent behaves and what it’s allowed to do economically. The key shift here is that without identity, AI agents can’t really be trusted, can’t build reputation, and can’t access meaningful capital.
Agent passports change that by turning them into credible economic actors rather than disposable processes. And that fits into a bigger trend we’re already seeing: AI agents evolving from simple tools into autonomous participants inside real markets.
Right now, tokenized real estate is scattered across incompatible standards like ERC-1400, ERC-3643, and a bunch of custom legal wrappers, which means these assets don’t really talk to each other.
iRWA, the “universal adapter” for tokenized real estate, solves a pretty fundamental fragmentation problem in the space. The liquidity doesn't stay trapped inside isolated ecosystems.
What iRWA does is act as a standardization layer. Integra’s AI can read any existing real estate token, wrap it into a unified, interoperable format, and preserve the underlying compliance rules in the process.
Instead of forcing assets to be re-tokenized or legal structures to be rebuilt from scratch, you get instant interoperability and aggregated liquidity across markets that were previously disconnected.
How these primitives fit together is actually pretty simple: Asset Passports define what the property is, iRWA makes it tradable anywhere, and Agent Passports give AI the ability to interact with it autonomously.
Put those together and you get AI agents that can discover properties, evaluate them, negotiate deals, buy and sell assets, and manage entire portfolios end-to-end, all onchain and running 24/7.
The bigger idea here is real estate as a programmable asset class. Integra’s core bet is that real estate is a ~$400T market that still hasn’t been properly “API-ified,” and if these primitives actually work, a few major shifts unlock at once.
First is liquidity, which is the holy grail. Today real estate is slow, fragmented, and highly local, but with asset passports and iRWA layers, properties become globally tradable, liquidity can compound across platforms.
Second is automation through AI agents. Instead of relying on brokers, asset managers, and manual underwriting, you can have autonomous agents sourcing deals, continuously repricing assets, and managing portfolios algorithmically.
Third is standardization of something that has historically resisted it. Real estate has always been hard to digitize because every property is unique and every jurisdiction is different.
With the asset passports and attestations create a shared data schema for property. That’s what makes cross-border investment, institutional scaling, and AI-native analysis possible.
Once property becomes standardized, liquid, and machine-readable, you unlock entirely new financial primitives like real estate credit markets, onchain REIT-style structures, dynamic pricing systems, and composable yield products.
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