Port3: Building AI-focused Web3 social data infrastructure

1. Introduction

In the world of Web3, data is transforming from static information into dynamic assets. Users' social behavior data has become the most valuable yet underdeveloped "digital minerals" in the AI era. The immense value contained in social data generated every minute has yet to be fully tapped by people.

The reality of Web3 is fragmented: on one hand, vertical protocols such as DeFi, NFTs, and GameFi have seen explosive growth, generating a large amount of behavioral data for users 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 construct a unified profile, and cannot be truly 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 have all proposed the vision of "callable data + executable intentions."

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 on user behavior and friendly to AI models. It not only integrates on-chain data with off-chain social behavior but also standardizes and recognizes intents, making the data an "action template" that 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 of data sovereignty, on-chain identity, social finance, and other aspects being truly integrated.

We will delve deep into the product matrix, technological moat, token mechanism, and growth logic of Port3, exploring how it establishes a closed loop of data circulation aimed at AI Agents in the fragmented Web3 world, and becomes the hidden infrastructure of the next trillion-level trend.

2. Project Introduction

What is 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 using 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 calling (Ailliance.ai), becoming a key facility for the assetization of on-chain behavior in the AI era.

2.2 Project Overview

2.1.1 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 financing worth millions of dollars, with participants including EMURGO, Adaverse Accelerator, and Gate Labs.

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

2.1.2 Team Situation

Max D.: Co-founder, has work experience at Apple; possesses rich 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 multiple sub-modules such as SoQuest, Rankit, OpenBQL, and on.meme, which may seem scattered, it can actually be summarized into a core main line: "Behavior is asset, and Port3 is responsible for the closed loop of data flow from collection to transformation."

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 collects user social behavior as its 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, including transactions, authorizations, NFT mints, etc., 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 massive amount of user behavior records and blockchain social interaction events, creating a real, multidimensional, and high-frequency Web3 social behavior database.

To enhance platform 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 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 versatility 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 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 consolidates into the core module of the Port3 Network------AI Social Data Layer, which is a structured behavior database specifically designed for AI applications. It is also the underlying infrastructure 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," Port3's data layer 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, building a dynamically growing social data system. It serves as the behavioral cognitive hub of Port3, structuring and semantically processing complex on-chain and off-chain behavior data, providing "understandable, composable, 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, representing 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 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 uses heat maps, social activity, and on-chain momentum linkage 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: Intention-driven On-chain Execution Language

If SoQuest is the data entry point, then BQL (Blockchain Quest Language) is the data cerebral 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 the EVM, BTC, and Solana multi-chain environments.

• Standardized Execution Layer: A one-click automated processing system that supports on-chain asset operations (such as trading, staking, and liquidity addition), serving as 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 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 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 or execute instructions generated by Rankit/SoQuest/OpenBQL.

• 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 "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 Driven by Business Accumulation

Port3 can take the lead in the Web3 AI narrative, not primarily because of its advanced large model capabilities, but due to its accumulation of highly valuable social behavior data assets with great depth and breadth during its business development 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 user participation trajectories exceeding 10 million, covering multiple dimensions such as task behavior, wallet interactions, 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 graph. In the current AI model, "data is fuel."