The term AI agent has been somewhat overstated this year:
Everyone is saying, 'Let AI help you with trading, lending, brick moving, managing RWA assets,' but when you actually throw an AI Agent into the blockchain world, you immediately encounter a simple yet brutal question—how real is the world it sees?

Human traders can still browse news at midnight, check announcements, and ask friends;
AI Agents lack intuition and social interaction; they only have data feeds.
If you ask it to help you manage positions on Binance, leverage on BTCFi, or allocate funds within RWA protocols, if the data is wrong, delayed, or manipulated, this Agent won’t hesitate, won’t doubt, it will just firmly execute the errors.

So, what the AI agent economy truly lacks is not 'smarter models', but a layer of verifiable and payable real input infrastructure—this is what APRO aims to do as Oracle 3.0, and where AT truly finds its use.

APRO breaks down AI-Oracles into two parts:
'Seeing the world' and 'proving the world'.

Off-chain, the node of APRO is responsible for looking at:

  • Look at the prices, depths, and transactions of CEX/DEX;

  • Look at the PoR reports, interest rates, and default clauses of RWA products;

  • Look at on-chain liquidation events, capital flows, and TVL changes;

  • Even look at regulatory documents, audit explanations, and those few risk warnings in announcements.

These things are originally noise for the AI Agent.
APRO uses AI to turn them into structured data: price feeds, PoR feeds, RWA yield feeds, risk flags, volatility signals…
The AI Agent does not need to read PDFs; it only needs to read APRO.

On-chain, APRO is responsible for proving:

  • This price is aggregated from multiple sources;

  • Which custodian, which auditing firm, and at what point in time does this PoR come from;

  • This RWA yield range corresponds to which type of underlying assets.

When an AI Agent calls these feeds in the contract, what it sees is not 'someone says this asset is very safe', but a string of data sources that can be challenged, traced, and constrained by slashing.

What about AT?
In the context of AI Agents, AT is more like a bundled ticket of 'bandwidth + priority + responsibility'.

For nodes, staking AT is equivalent to telling AI Agents:

You can leave the decision to the data fed to me,
I use AT as collateral—if fed incorrectly or proven malicious, my chips will be cut.

Who does the AI Agent choose to give itself 'eyes';
The node that stakes AT will use the principal to tell it 'I will not casually mislead you'.

For developers and protocols, paying AT to buy APRO's AI-Oracles essentially designs the level of permission of 'how much world can be seen' for their Agent:

  • Only using basic price feeds, the Agent can only perform very shallow automated strategies;

  • Overlaying PoR, RWA yield, and risk markers, the Agent dares to touch BTCFi, RWA, and leverage position management;

  • By adding multi-chain data, delay markers, and extreme market signals, the Agent qualifies to be a real cross-chain allocator, rather than a robot that amplifies FOMO.

What kind of 'width of vision' and 'credibility level' are you willing to pay AT for,
APRO is at the Oracle level, opening up how wide a window your AI Agent can have.

Looking at this matter from a longer cycle, its significance for AT goes far beyond 'having an AI story'.
Today's on-chain world still mainly follows the model of 'human front-end + contract back-end';
If AI Agents truly become the main force—responsible for rebalancing, subscribing to strategies, participating in governance, managing RWA and PoR, and running automated hedging on BTCFi—then the entire on-chain economy's 'input port' will become increasingly concentrated on a few Oracle 3.0 networks.

APRO does the 'fact layer' of this input port;
AT does the 'bandwidth and order' of this input port:

  • Who is qualified to feed data to AI Agents and how much AT to stake;

  • Which feeds belong to 'public infrastructure', which must be maintained even if there are no short-term profits;

  • Which high-frequency, high-risk, high-complexity feeds can be supported by higher AT fees;

  • When AI Agents go berserk due to a piece of data, whose AT has to pay for this link.

You can continue to treat AT as an ordinary staking / fee / governance token,
or you can start to understand it as: 'the real input quota for the AI agent economy'.
When a large number of AI Agents start running together, what is truly scarce is not computing power, but 'who is helping them see the world, and who is willing to be responsible for these eyes'.

APRO provides tools and networks,
AT provides promises and boundaries.

Disclaimer: The above content is personal research and views of 'carving the boat to seek the sword', intended for information sharing only and does not constitute any investment or trading advice.@APRO Oracle #APRO $AT