From Social Data to AI Brain: What Kind of AI Network Will Port3 Network Build for the Web3 World?

1. Introduction

In the world of Web3, data is transforming from static information into dynamic assets. In particular, user social behavior data is becoming the most valuable but yet to be fully developed "digital mineral" in the era of AI. The vast value contained in the social data generated every minute is yet to be fully explored.

The reality of Web3 is fragmented: on one hand, we have witnessed explosive growth in niche protocols such as DeFi, NFTs, and GameFi, with users generating a vast amount of behavioral data both on and off-chain; on the other hand, this data is scattered across isolated DApps, transaction records, and social platforms, lacking structured integration, making it difficult to construct a unified profile and impossible to be truly utilized.

At the same time, the rise of AI is rapidly reshaping the entire digital world. Projects like OpenAI's ChatGPT, Anthropic's Claude, and Web3-based Agent projects such as Autonolas, Morphpad, and Mind Network are all proposing the vision of "callable data + executable intent."

In this context, a question arises: If AI is the future, then who will build the data layer and decision-making foundation for Web3? Port3 Network provides a rather ultimate answer:

From the initial SoQuest task platform, to the Rankit social behavior scoring engine, and then to the OpenBQL cross-chain intent execution language, Port3 has built a "social data infrastructure" centered around user behavior and friendly to AI models. It not only integrates on-chain data and off-chain social behaviors but also standardizes and recognizes intents, making data an "action template" that intelligent agents can understand, invoke, and execute.

In other words, Port3 is no longer a single task platform or tool, but has strategically occupied the position of "Web3 Data Brain" ahead of the narrative integration of data sovereignty, on-chain identity, social finance, and so on.

2. Project Introduction

What is 2.1 Port3?

Port3 Network is an AI-driven Web3 social data infrastructure project aimed at building a cross-chain, programmable, and callable social data layer. By aggregating user behavior data from Web2 and Web3, and supplementing it with an AI engine for standardized processing, Port3 has created a complete closed loop from data collection (SoQuest), structured scoring (Rankit), intelligent querying (OpenBQL) to agent invocation (Ailliance.ai), becoming a key facility for on-chain behavior assetization in the AI era.

Project Overview 2.2

2.2.1 Financing Situation

February 2023: Completed a $3 million seed round financing, led by Jump Crypto, with other participants including SNZ, Block Infinity, Dragon Roark, ViaBTC, Cryptonite, Lapin Digital, Cogitent, and Momentum6.

August 2023: Secured a new round of multimillion-dollar funding, with participants including EMURGO, Adaverse Accelerator, and Gate Labs.

October 2023: Announced the acquisition of investment from DWF Labs, along with grant support from Binance Labs, Mask Network, and Aptos.

2.2.2 Team Situation

Max D.: Co-founder with work experience at Apple; possesses extensive experience in Web3 project incubation and ecosystem expansion.

Anthony Deng: Co-founder, previously worked in backend development at Tencent and Viabtc Technology Limited, with many years of experience in high concurrency system design and distributed architecture.

3. The Vision of Port3: From "Task Platform" to "AI Social Data Infrastructure"

Although Port3's product matrix includes several submodules such as SoQuest, Rankit, OpenBQL, and on.meme, which may seem scattered, it can actually be summarized into a core mainline: "Behavior is an asset, and Port3 is responsible for the closed loop of data flow from collection to conversion."

3.1 Port3 Core Infrastructure

3.1.1 Data Aggregation - SoQuest

SoQuest is the core data entry point built by Port3 Network, a Web3 user behavior capture platform that integrates task distribution, behavior verification, community growth, and data collection. Essentially, it is a data generation system that uses tasks as the triggering mechanism and collects user social behaviors as its target, bridging the behavioral pathways between on-chain interactions and Web2 social platforms.

SoQuest supports mainstream Web2 platforms such as Twitter, Telegram, and Discord, and is compatible with interactions on 19 chains including EVM, Solana, Aptos, and Sui, including transactions, authorizations, NFT minting, etc., forming one of the most comprehensive behavior collection systems in the Web3 field.

By mid-2025, Port3 Network has collected dynamic data from over 6 million users and 7,000 projects, covering more than 10 million crypto users. This has generated a large-scale record of user behavior and blockchain social interaction events, building a real, multidimensional, and high-frequency Web3 social behavior database.

To enhance the platform's scalability and data collection capabilities, SoQuest has launched the QaaS( (Quest-as-a-Service) module, allowing project parties to embed the task system into their own dApp or Telegram Mini App. In 2025, the verification API will be further opened, enabling the completion of verification logic embedding without the need for preset templates, greatly improving the standardization and universality of the task system.

SoQuest is not just a task platform; it is the starting point of Port3's full-chain behavior asset closed loop and the original source of the behavioral semantic data required for AI reasoning.

3.1.2 Data Accumulation - AI Social Data Layer

The user behavior data captured by SoQuest ultimately settles into the core module of the Port3 Network—AI Social Data Layer, which is a structured behavior database specifically designed for AI applications, and also serves as the underlying facility for Port3 to realize "behavior assetization" and "information financialization (InfoFi)."

Unlike traditional on-chain data platforms (such as The Graph, Dune, etc.) that are designed with the goal of "querying," Port3's data layer focuses on: how to make data usable for AI models and support automated on-chain reasoning and interaction.

The AI Social Data Layer integrates tens of millions of on-chain interaction records and social task behavior data, and continuously updates in real-time through application modules such as SoQuest and Rankit, creating a dynamically self-growing social data system. It serves as the behavioral cognition hub of Port3, structuring and semantically enriching complex on-chain and off-chain behavioral data to provide agents with "understandable, combinable, and callable" data fuel.

3.1.3 Data Application - Rankit + OpenBQL + Ailliance.ai → AI Agent System

Rankit: AI-driven social behavior analysis engine

Rankit is the flagship application of Port3's social data capabilities, serving as the "visual execution" of BQL data capabilities at the AI layer.

Rankit's capabilities and paradigm innovation:

• Cross-platform social heat score: Integrates social signals from Twitter, Telegram, Discord, etc., to identify key trends, hot projects, and sentiment shifts in the Web3 world.

• Semantic recognition and scoring modeling: By utilizing NLP and large model sentiment analysis, the focus of discussions, KOL influence, and user trust levels will be converted into structured indicators for community governance, lending risk control, on-chain transactions, and other scenarios.

• Vertical scenario landing demonstration: For example, the newly launched USD1 ecological data engine, which links heat maps, social activity, and on-chain momentum to track potential projects on the BNB Chain in real-time, becoming an intelligent compass for DeFi users to capture Alpha.

With the support of Rankit, Port3 can not only provide data but also offer "explanatory data"—not just telling you what happened, but also informing you what to do.

OpenBQL: Intent-driven on-chain execution language

If SoQuest is the data entry point, then BQL (Blockchain Quest Language) is the data cortex of Port3, serving as the semantic core and operational engine for the processing, organization, and invocation of all behavioral data.

Role and Mechanism of BQL:

• Universal Language Layer: BQL provides a natural language-friendly query structure, allowing developers or Agents to perform on-chain operations with commands like "buy NFT on the Aptos chain," facilitating interactions across EVM, BTC, and Solana multi-chain environments.

• Standardized Execution Layer: A one-click automation process supporting on-chain asset operations (such as trading, staking, and liquidity addition), which is the key hub for automating on-chain activities.

• Data Semantic Extractor: Provides standard structured data support for AI models and Agents, enabling high-frequency data updates and calculations required for information financialization (InfoFi).

With the help of BQL, Port3 is driving the creation of a new "on-chain natural language protocol" in the Web3 world, allowing on-chain actions to rise from the "code layer" to the "intention layer"—machines not only execute the commands you give but also understand your intentions.

AI Agent Integration Capability: Ailliance.ai

• Port3 is building a universal Agent API layer, allowing developers to directly call structured data generated by Rankit/SoQuest/OpenBQL or execute commands.

• Applications include automated investment assistants, interactive robots, blockchain game smart assistants, etc., covering various scenarios such as trading decisions, task publishing, community operations, etc.

This entire product structure makes Port3 the only platform in the Web3 social data track that possesses the full process capability of "from collection → analysis → application → invocation."

The ultimate goal is to build a Web3 AI standard protocol network based on behavioral data, allowing AI Agents to understand, recognize, and operate on-chain assets.

The moat of Port3 3.2: The growth flywheel brought by business accumulation

Port3 can take a leading position in the Web3 AI narrative, not primarily because of its advanced large model capabilities, but because it has built a highly valuable social behavior data asset with great depth and breadth during its business accumulation process. This data advantage lays a unique foundation for Port3's AI applications, Agent construction, and model training:

3.2.1. Ten Million Level On-chain and Off-chain Behavioral Data Accumulation

With the operation of the SoQuest task platform for three years, Port3 has accumulated over 10 million user participation trajectories, covering multiple dimensions such as task behavior, wallet interactions, on-chain assets, and community engagement. This data spans across Web2 and Web3, including Twitter posts, Discord activity, Telegram retention, on-chain transactions, staking, and holdings, forming an extremely dense social behavior graph. In the current context of AI models where "data is fuel," such structured and high-frequency interactive behavior data is undoubtedly the most valuable input resource for building Web3 AI Agents.

3.2.2 Deep collaboration with thousands of projects, data continuously updated in real-time.

Port3 is not a platform focused on a single product, but has established partnerships with over 7000+ Web3 projects, covering airdrops.