How APRO Moves Information
APRO’s Hybrid Data Flow and How SOON Uses It
To understand how SOON benefits from APRO, you need to understand how APRO actually moves information.
And it all begins with the two realities of crypto: on chain and off chain.
On chain is the blockchain world:
transparent, verifiable, and tamper proof. Everything here is deterministic. Smart contracts execute exactly as written, and this is what gives DeFi its trustless security. But blockchains have one massive limitation they cannot see anything outside themselves.
Off chain is the real world:
markets, APIs, liquidity, user activity, social signals, risk metrics, volatility spikes, patterns of behavior basically all the information that actually drives decision making. It’s rich and chaotic, and it’s where 99% of alpha originates.
The problem is blockchains are blind to it by default.
Oracles exist to solve this gap.
But @APRO Oracle isn’t a normal oracle. It’s an AI native system that not only fetches external data but also interprets it, compresses it, ranks it, and delivers it on chain in the exact format that smart contracts need.
Data Push and Data Pull
To understand how #APRO works, you need to understand the two major ways oracles deliver data: push and pull.
Data push means the oracle continuously streams fresh data on chain at fixed intervals even if no one asks for it. Think of price feeds that update constantly. Push is perfect for highly time sensitive data where delays could break a protocol.
Data pull means a smart contract requests the information only when it needs it. The oracle answers on demand. Pull is ideal for more specific, transaction triggered scenarios where the data shouldn’t be constantly written on chain.
What makes APRO different is that it uses both models at the same time.
APRO’s push model is used for: core market signals baseline data, risk indicators, volatility scans, AI processed feeds that many protocols rely on simultaneously. These are high frequency insights that benefit from being continuously refreshed on chain.
APRO’s pull model is used for more targeted, contextual AI queries : when a smart contract needs insight tied to a specific action or user triggered event. This is where AI shows its true value: APRO can run the analysis only when needed, keeping the blockchain uncluttered and the costs low, while still providing deep intelligence.
Now, here’s how SOON fits into this hybrid system.
SOON relies on APRO not for static information, but for dynamic decision grade data. SOON taps into APRO’s push feeds when it needs baseline intelligence: the pre-streamed, AI cleaned signals that define general market conditions. But SOON also uses APRO’s pull model whenever a user action requires precise, real time context that isn’t already on chain.
In other words, SOON benefits from both streams:
push gives SOON constant awareness
pull gives SOON precision at the moment of action
This hybrid flow unlocks a type of responsiveness that most applications in crypto don’t have. Instead of relying on outdated data or centralized APIs, SOON gets an always on backbone of market intelligence plus an on demand layer of AI tailored insights.
The advantage is massive:
SOON doesn’t waste gas pulling data unnecessarily.
SOON doesn’t rely on stale information because the push feed keeps everything fresh.
SOON doesn’t need to host its own analytics layer, APRO provides it.
SOON users interact with smarter, more adaptive on-chain logic.
Most importantly, this setup breaks the old limitations of oracles. It’s not just “price feeds on chain.” It’s a full intelligence layer: scanned off chain, processed by AI, then streamed or delivered to the blockchain depending on the situation.
APRO unifies both sides of the data flow. SOON is one of the early protocols actually using that hybrid intelligence in real time.
This is the shift: from passive oracles to active AI driven data infrastructure and SOON is sitting right where that shift becomes useful for real users.
$AT
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