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

1. Introduction

The Web3 world is undergoing a transition from static information to dynamic assets, where users' social behavior data has become the most valuable yet underdeveloped "digital minerals" in the AI era. However, the reality of Web3 is fragmented: on one hand, vertical protocols such as DeFi, NFT, and GameFi are experiencing explosive growth, generating a large amount of behavioral data; on the other hand, this data is scattered across isolated DApps, transaction records, and social platforms, making it difficult to build a unified profile and access.

At the same time, the rise of AI is reshaping the entire digital world. Projects like OpenAI, Anthropic, and those based on Web3 are all proposing the vision of "callable data + executable intent."

Against this backdrop, Port3 Network provides an 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 on user behavior and friendly to AI models. It not only integrates on-chain data and off-chain social behavior, but also standardizes and recognizes intents, turning data into "action templates" that agents can understand, invoke, and execute.

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

2. Project Introduction

What is Port3 2.1?

Port3 Network is an AI-driven Web3 social data infrastructure project led by Jump Crypto, aimed at building a cross-chain, programmable, and callable social data layer. By aggregating user behavior data from Web2 and Web3 and standardizing it with the help of an AI engine, 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.

August 2023: Secured a new round of multi-million dollar financing.

October 2023: Announced 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 experience working at Apple; has 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"

The product matrix of Port3 can be summarized as 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. Its essence is a data generation system that uses tasks as triggers and user social behaviors as collection targets, 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, forming one of the most widely covered 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 vast amount of user behavior records and blockchain social interaction events, creating a real, multi-dimensional, 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 pre-set 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 behavioral asset closed loop and also the original source of the behavioral semantic data required for AI reasoning.

3.1.2 Data Depository - AI Social Data Layer

The user behavior data captured by SoQuest ultimately settles 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 and Dune, which are designed with the goal of "querying" in mind, Port3's data layer focuses on: how to make data usable for AI models and support on-chain inference 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, constructing a dynamically growing social data system. It serves as the behavioral cognition hub of Port3, structuring and semantizing complex on-chain and off-chain behavioral data, providing "understandable, combinable, and callable" data fuel for intelligent agents.

(# 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: Through NLP and large model sentiment analysis, the focus of discussion, KOL influence, and user trust levels will be transformed into structured indicators for scenarios such as community governance, lending risk control, and on-chain transactions.

• Vertical scene landing demonstration: For example, the newly launched USD1 ecological data engine, which uses 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 has happened, but also informing you what to do.

![From Social Data to AI Brain: What Kind of AI Network Will Port3 Network Build for the Web3 World?])https://img-cdn.gateio.im/webp-social/moments-4f1158531e71cb17cde8a6d112be2680.webp###

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: Supports on-chain asset operations ( such as trading, staking, and liquidity addition ) with one-click automation, which is the key hub for automating on-chain activities.

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

With the help of BQL, Port3 is promoting the construction 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 instructions.

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

This entire product structure makes Port3 the only platform in the Web3 social data track that possesses the full process capability of "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.

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

Port3 is able to take a leading position in Web3 AI narratives not primarily because of its advanced large model capabilities, but because it has built a high-value social behavior data asset with significant 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 Behavior Data Accumulation

Leveraging three years of operational experience on the SoQuest task platform, Port3 has accumulated user participation trajectories exceeding 10 million levels, 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 interaction behavior data is undoubtedly the most valuable input resource for building Web3 AI Agents.

3.2.2 In-depth cooperation with thousands of project parties, 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 multiple scenarios such as airdrop issuance, task design, community governance, and on-chain interaction. This collaboration not only brings real user behavior but also ensures the diversity and real-time nature of data sources. By co-building data channels with project parties, Port3 continually absorbs the latest ecological trends and user trends, constructing a dynamically evolving data engine rather than a static snapshot. This data updating capability provides a continuous evolution of "training material pool" for AI models.

3.2.3 Forming a dedicated dataset for AI model training to provide semantic support for on-chain Agents

Compared to general Web2 data, Web3 users' on-chain identities, interaction paths, and asset behaviors exhibit high anonymity and structural complexity, making it difficult for traditional models to adapt. However, Port3 precisely bridges the mapping path between on-chain behavior and natural language semantics through Rankit's semantic recognition and behavioral tagging system. For example: "Wallet A participates in an airdrop on protocol B + tweets + participates in governance again" can be modeled as the semantic tags of "active participant" or "early evangelist," enabling AI Agents to understand and mobilize these user groups. This is key to advancing on-chain AI models from "perception" to "understanding."

The AI advantages of Port3 are not built out of thin air, but stem from the real user data, multi-dimensional behavior trajectories, and continuously updated project collaborations accumulated over three years of operating the task platform. This highly structured, clearly defined native semantic data system is a foundational asset for the future explosion of Web3 AI Agent capabilities.

In this era where data is value, Port3 has positioned itself at the foundational level of building Web3 "on-chain intelligent agents."

![From Social Data to AI Big