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. Especially user social behavior data is becoming the most valuable yet underdeveloped "digital mineral" in the AI era. The immense value contained in the social data generated every minute and every second has yet to be fully tapped by people.

We see that the reality of Web3 is fragmented: on one hand, we have witnessed explosive growth in vertical protocols such as DeFi, NFT, and GameFi, with users generating a large amount of behavioral data both on-chain 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 build a unified profile, and it cannot be genuinely utilized.

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

Against this backdrop, a question arises: If AI is the future, then who will build the data layer and decision-making foundation for Web3? There is a project called Port3 Network that provides a rather ultimate answer:

From the initial SoQuest task platform, to the Rankit social behavior scoring engine, and to the OpenBQL cross-chain intent execution language, Port3 has built a "social data infrastructure" that is user behavior-centric and friendly to AI models. It not only integrates on-chain data with off-chain social behavior but also standardizes and identifies intents, making the data an "action template" that can be understood, invoked, and executed by intelligent agents.

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

This article will deeply analyze the product matrix, technological moat, token mechanism, and growth logic of Port3, exploring how it establishes a closed loop for data circulation aimed at AI Agents in the fragmented Web3 world, and become the hidden infrastructure for the next trillion-dollar trend.

2. Project Introduction

What is 2.1 Port3?

Port3 Network is an AI-driven Web3 social data infrastructure project that aims to build a cross-chain, programmable, and callable social data layer. By aggregating user behavior data from Web2 and Web3, and supplemented by 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 the assetization of on-chain behavior 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 multi-million dollar funding, with investors including EMURGO, Adaverse Accelerator, and Gate Labs.

October 2023: Announced investment from DWF Labs and received grant support from a trading platform, Mask Network, and Aptos.

2.2.2 Team Situation

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

Anthony Deng: Co-founder, previously worked in backend development at an internet company and a technology company, with 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 multiple sub-modules such as SoQuest, Rankit, OpenBQL, on.meme, which may seem scattered, it can actually be summarized into a core main line: "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 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 a triggering mechanism and captures user social behaviors as its subjects, 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 widely covered behavioral 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 massive record of user behaviors and blockchain social interaction events, creating a real, multi-dimensional, and high-frequency Web3 social behavior database.

In order 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 task systems into their own dApps or Telegram Mini Apps. 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 for Port3's full-chain behavioral asset closed loop, as well as the original source of the behavioral semantic data needed for AI reasoning.

3.1.2 Data Accumulation - AI Social Data Layer

The user behavior data captured by SoQuest is ultimately deposited into the core module of the Port3 Network - the AI Social Data Layer, which is a structured behavior database specifically designed for AI applications. It is also the underlying facility for Port3 to achieve "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," the data layer of Port3 focuses on: how to make data usable for AI models and support on-chain reasoning and interaction that can be executed automatically.

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 cognitive hub of Port3, structuring and semanticizing complex on-chain and off-chain behavioral data to provide agents with "understandable, composable, 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.

The capabilities and paradigm innovation of Rankit:

• 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 using NLP and large model sentiment analysis, the focus of discussions, KOL influence, and user trust levels are transformed 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 "explanatory data"—not only telling you what happened but also telling 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 processing, organizing, and invoking all behavioral data.

The 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", bridging EVM, BTC, and Solana multi-chain environments.

• Standardized Execution Layer: A one-click automation process that supports on-chain asset operations (such as trading, staking, and liquidity addition), serving as a key hub for the automation of 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 promoting the construction of a new "on-chain natural language protocol" in the Web3 world, elevating on-chain behavior from the "code layer" to the "intent layer"—machines not only execute the instructions 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 instructions.

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

This entire product structure makes Port3 the only platform in the Web3 social data track that has 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, enabling AI Agents to understand, recognize, and operate on-chain assets.

3.2 Port3's moat: The growth flywheel brought by business accumulation

Port3 can take the lead 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. Millions-level on-chain and off-chain behavioral data accumulation

Relying on the three-year operation of the SoQuest task platform, Port3 has accumulated over 10 million levels of user participation trajectories, covering multiple dimensions such as task behavior, wallet interaction, on-chain assets, and community engagement. These data span Web2 and Web3, including Twitter posts, Discord activity, Telegram retention, on-chain transactions, staking, and holdings, forming a highly dense social behavior map. In the current context of AI models where "data is fuel," this type of