Port3 builds Web3 social data infrastructure to create a behavioral assetization loop in the AI era.

Introduction

The Web3 world is undergoing a transition from static information to dynamic assets. User social behavior data has become the most valuable yet underdeveloped "digital mine" in the AI era. The social data generated every moment contains immense value, yet to be tapped.

The reality of Web3 is fragmented: on one hand, vertical protocols such as DeFi, NFT, and GameFi have exploded in growth, generating a large amount of behavioral data from users 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 truly utilized.

At the same time, the rise of AI is reshaping the entire digital world. 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."

Against this backdrop, a question arises: If AI is the future, 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 with off-chain social behaviors but also standardizes and recognizes intents, making data an "action template" that agents can understand, call, 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.

We 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 becomes the hidden infrastructure for the next trillion-dollar trend.

Project Introduction

What is Port3?

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 utilizing an AI engine for standardized processing, Port3 has created a complete closed-loop system 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

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 financing worth millions of dollars, with participants 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.

Team Situation:

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

Anthony Deng: Co-founder, previously worked in backend development at a tech company and a mining machine company, with many years of experience in high-concurrency system design and distributed architecture.

![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-75689ddf51994fc6f6ece401809f979d.webp(

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

Although Port3's product matrix includes several sub-modules such as SoQuest, Rankit, OpenBQL, and on.meme, which appear to be scattered, they can actually be summarized into a core main line: "Behavior as Asset, Port3 is responsible for the closed loop of data flow from collection to transformation."

) Port3 Core Infrastructure

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 the triggering mechanism and captures user social behaviors as the target, bridging the behavioral path 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, covering behaviors such as trading, authorization, and NFT minting, thus forming one of the most comprehensive behavior collection systems in the Web3 field.

As of 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 behavior and on-chain 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 up, enabling the completion of verification logic embedding without pre-set templates, greatly improving the standardization and versatility 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 needed to support AI reasoning.

![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-ee1d3b7ad0f53889ba31deb5cca02c8f.webp(

)# Data Accumulation - 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, and also serves as the underlying facility for Port3 to achieve "behavioral assetization" and "information financialization ###InfoFi(".

Unlike traditional on-chain data platforms such as The Graph and Dune, which are designed with a focus on "querying" ), 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, creating a dynamically self-growing social data system. It serves as the behavioral cognitive hub of Port3, structuring and semantizing complex on-chain and off-chain behavioral data to provide agents with "understandable, composable, and callable" data fuel.

(# 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 a "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 will be transformed into structured indicators for community governance, lending risk control, on-chain transactions, and other scenarios.

• Vertical scene 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 not only provides data but also offers "explanatory data"—not only 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 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 instructions like "buy NFT on 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 processing, which is the 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 "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, and more.

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, enabling AI Agents to understand, identify, and operate on-chain assets.

( Port3's Moat: The Growth Flywheel from Business Accumulation

Port3 can take a leading position in 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 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.

)# On-chain and off-chain behavioral data accumulation at the million level

Leveraging SoQuest's three years of task platform operations, Port3 has accumulated over 10 million user participation trajectories, covering multiple dimensions such as task behavior, wallet interaction, on-chain assets, and community engagement. This data spans 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.

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

Port3 is not a platform focused on a single product, but rather has established partnerships with over 7000+ Web3 projects, covering multiple scenarios such as airdrop issuance, task design, community governance, and on-chain interactions. This cooperation not only brings real user behavior but also ensures the diversity and timeliness of data sources. By co-building data channels with project parties, Port3 continuously absorbs the latest ecological trends and user trends, constructing a dynamically evolving data engine rather than a static snapshot. This data update capability provides a continuous evolving "training material pool" for AI models.

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

Compared to general Web2 data, the on-chain identity, interaction paths, and asset behaviors of Web3 users exhibit high levels of anonymity and structural complexity, making it difficult for traditional models to adapt. Port3, through Rankit's semantic recognition and behavioral tagging system, bridges the mapping path between on-chain behavior and natural language semantics. For example: "Wallet A participates in an airdrop in Protocol B + tweets + participates in governance again" can be modeled as the semantic tags "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".

Port3