1. Introduction

In the world of Web3, data is transitioning from static information to dynamic assets. In particular, users' social behavior data is becoming the most valuable yet underexplored "digital mineral" in the AI era. The immense value embedded in the social data generated every minute remains largely untapped.

We observe that Web3's reality is fragmented: on one hand, we witness explosive growth in vertical protocols like DeFi, NFTs, and GameFi, with users generating vast amounts 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 unified profiles or truly utilize.

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

Against this backdrop, a question emerges: If AI is the future, who will build the data layer and decision-making foundation for Web3? One project, Port3 Network, offers a compelling answer:

From its initial SoQuest task platform to Rankit’s social behavior scoring engine and OpenBQL’s cross-chain intent execution language, Port3 has built a user-behavior-centric, AI-model-friendly "social data infrastructure." It not only integrates on-chain data with off-chain social behaviors but also, through standardization and intent recognition, transforms data into "action templates" that intelligent agents can understand, call, and execute.

In other words, Port3 is no longer just a single task platform or tool. Before narratives like data sovereignty, on-chain identity, and social finance fully converge, it has preemptively claimed the strategic position of "Web3's data brain."

Klein Labs will deeply analyze Port3’s product matrix, technical moat, token mechanism, and growth logic, exploring how it establishes a closed-loop data circulation system for AI Agents in the fragmented Web3 world, positioning itself as the hidden infrastructure for the next trillion-dollar trend.

2. Project Overview

2.1 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 both Web2 and Web3 and processing it with an AI engine for standardization, Port3 has created a complete closed-loop system encompassing data collection (SoQuest), structured scoring (Rankit), intelligent querying (OpenBQL), and Agent invocation (Ailliance.ai). This positions Port3 as a critical infrastructure for the assetization of on-chain behavior in the AI era.

2.2 Project Details

2.1.1 Funding Status

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

August 2023: Secured a new round of multi-million dollar funding, with participation from EMURGO, Adaverse Accelerator, and Gate Labs.

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

2.1.2 Team

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

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

3. Port3’s Vision: From “Task Platform” to “AI Social Data Foundation Layer”

Although Port3’s product matrix includes multiple sub-modules such as SoQuest, Rankit, OpenBQL, and on.meme, which may appear fragmented, they can be distilled into a single core theme: “Behavior as an asset, with Port3 responsible for the closed-loop data flow from collection to transformation.”

3.1 Port3 Core Infrastructure

3.1.1 Data Aggregation - SoQuest

SoQuest is the core data entry point for 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 triggered by tasks and focused on collecting user social behaviors, 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, covering activities like transactions, authorizations, and NFT minting. This forms one of the most extensive behavior collection systems in the Web3 space.

As of mid-2025, Port3 Network has collected dynamic data from over 6 million users and 7,000 projects, with data coverage spanning more than 10 million crypto users. This has generated a vast scale of user behavior records and on-chain social interaction events, constructing a real, multidimensional, and high-frequency Web3 social behavior database.

To enhance platform scalability and data collection capabilities, SoQuest introduced the QaaS (Quest-as-a-Service) module, allowing project teams to embed task systems into their own dApps or Telegram Mini Apps. In 2025, it further opened a verification API, enabling validation logic embedding without preset templates, significantly 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 primary source of behavioral semantic data required for AI inference.

3.1.2 Data Consolidation - AI Social Data Layer

The user behavior data captured by SoQuest is ultimately consolidated into Port3 Network’s core module—the AI Social Data Layer, a structured behavior database designed specifically for AI applications. This serves as the foundational infrastructure for Port3 to achieve “behavior assetization” and “information financialization (InfoFi).”

Unlike traditional on-chain data platforms (e.g., The Graph, Dune) designed with a “query” focus, Port3’s data layer prioritizes enabling data to be utilized by AI models and supporting automated on-chain inference and interaction.

The AI Social Data Layer integrates tens of millions of on-chain interaction records and social task behavior data, continuously updated in real-time through application modules like SoQuest and Rankit. This creates a self-growing dynamic social data system, serving as Port3’s behavioral cognition hub. It structures and semanticizes 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.

Rankit’s Capabilities and Paradigm Innovations:

• Cross-Platform Social Heat Scoring: Aggregates social signals from Twitter, Telegram, Discord, and other platforms to identify key trends, hot projects, and sentiment shifts in the Web3 world.

• Semantic Recognition and Scoring Modeling: Utilizes NLP and large-scale model sentiment analysis to convert discussion foci, KOL influence, and user trust into structured metrics, applicable to scenarios like community governance, lending risk control, and on-chain trading.

• Vertical Scenario Implementation: For example, the recently launched USD1 ecosystem data engine links heatmaps, social activity, and on-chain momentum to track promising projects on BNB Chain in real-time, serving as an intelligent compass for DeFi users to capture alpha opportunities.

With the empowerment of Rankit, Port3 not only provides data but also delivers "explainable data"—not just telling you what happened, but also guiding you on what to do next.

OpenBQL: Intent-Driven On-Chain Execution Language

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

BQL’s Role and Mechanisms:

• Universal Language Layer: BQL offers a natural language-friendly query structure, enabling developers or Agents to execute on-chain operations with instructions like “buy an NFT on the Aptos chain,” seamlessly bridging multi-chain environments such as EVM, BTC, and Solana.

• Standardized Execution Layer: Supports one-click automated processing of on-chain asset operations (e.g., trading, staking, liquidity provision), acting as the critical hub for on-chain behavior automation.

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

Leveraging BQL, Port3 is driving the creation of a new “on-chain natural language protocol” in the Web3 world, elevating on-chain behavior from the “code layer” to the “intent layer”—enabling machines not only to execute your instructions but also to understand your intentions.

AI Agent Integration Capability: Ailliance.ai

Port3 is building a universal Agent API layer, allowing developers to directly access structured data or execute instructions generated by Rankit, SoQuest, and OpenBQL.

• Applications: Include automated investment assistants, interactive bots, and smart assistants for blockchain games, covering scenarios such as trading decisions, task distribution, and community operations.This comprehensive product structure makes Port3** the only platform in the Web3 social data space with end-to-end capabilities, spanning data collection → analysis → application → invocation.

Its ultimate goal is to build a Web3 AI standard protocol network with behavioral data as the foundation, enabling AI Agents to understand, recognize, and operate on-chain assets.

3.2 Port3’s Moat: Growth Flywheel Driven by Business Accumulation

Port3’s ability to secure a leading position in the Web3 AI narrative is not rooted in possessing advanced large-scale model capabilities, but rather in constructing a high-value social behavior data asset with exceptional depth and breadth during its business operations. This data advantage provides a unique foundation for Port3’s AI applications, Agent development, and model training:

3.2.1 Tens of Millions of On-Chain and Off-Chain Behavioral Data

Through three years of operating the SoQuest task platform, Port3 has accumulated behavioral traces from over 10 million users, spanning multiple dimensions such as task activities, wallet interactions, on-chain assets, and community engagement. This data bridges 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 AI model context where “data is fuel,” this structured and high-frequency interactive behavioral data is undoubtedly the most valuable input resource for building Web3 AI Agents.

3.2.2 Deep Collaboration with Thousands of Projects, Ensuring Real-Time Data Updates

Port3 is not a single-product-focused platform; it has established partnerships with over 7,000+ Web3 projects, covering scenarios like airdrop issuance, task design, community governance, and on-chain interactions. These collaborations not only bring authentic user behaviors but also ensure the diversity and real-time nature of data sources. Through co-built data channels with project partners, Port3 continuously absorbs the latest ecosystem trends and user behaviors, creating a dynamically evolving data engine rather than a static snapshot. This data update capability provides a continuously evolving “training material pool” for AI models.

3.2.3 Specialized Dataset for AI Model Training, Providing Semantic Support for On-Chain Agents

Compared to general Web2 data, Web3 users’ on-chain identities, interaction paths, and asset behaviors are highly anonymous and structurally complex, making them difficult for traditional models to adapt to. Port3, through Rankit’s semantic recognition and behavior tagging system, bridges the mapping between on-chain behaviors and natural language semantics. For example, “Wallet A participates in an airdrop on Protocol B + posts a tweet + engages in secondary governance” can be modeled as semantic tags like “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’s AI advantage is not built from scratch but stems from three years of task platform operations, accumulating authentic user data, multidimensional behavioral traces, and continuously updated project collaborations. This highly structured, natively semantic, and callable data system is the foundational asset for the future explosion of Web3 AI Agent capabilities.

In an era where data equals value, Port3 has positioned itself at the base layer of the Web3 “on-chain intelligent agent” stack.

4. Competitive Analysis

In the current Web3 market, many projects focus on specific vertical niches—such as task platforms, social scoring, or data indexing. However, Port3 is not merely a collection of isolated tools; it has built a complete chain from data collection → data modeling → data invocation → execution automation.

This product synergy closed-loop capability is its greatest differentiating advantage. Below is a comprehensive comparison of Port3’s main product, SoQuest, with key competitors across product dimensions.

Port3’s core advantages lie in:

1. Closed-Loop Ecosystem Synergy: The collaborative flow of SoQuest (data collection) → Rankit (data processing) → OpenBQL (data invocation) → Agent execution creates a powerful compounding effect.

2. AI-Native Design: Rather than retrofitting AI onto data, Port3 builds AI as the architectural foundation, incorporating intent recognition, natural language execution, sentiment mapping, and Agent invocation.

3. Broad Data Source Coverage: Dual-track data input from Web2 and Web3, with social behavior recognition accuracy surpassing competitors that rely solely on on-chain analysis.

4. Strong Future Scalability: With the opening of the AI Agent API, Port3 has the potential to become an “on-chain OpenAI” infrastructure.

Moreover, if Port3 is viewed as an AI network for the social layer, its competitors extend far beyond the current scope. We will explore this in greater detail in subsequent analysis articles.

5. Token Model and Economic Mechanism

5.1 Basic Information

• Total Supply: 1 billion tokens

• Market Cap: $15.5M (as of June 25, 2025)

• Fully Diluted Valuation (FDV): $43.4M (as of June 25, 2025)

• Token Listing Status: Listed on Bybit, Gate, MEXC, Coinone, Binance (perpetuals)

• Token Unlock Status: 53% unlocked

5.2 Token Allocation

Port3’s token allocation plan balances ecosystem incentives, team interests, and community governance to support long-term sustainable development:

• Ecosystem Incentives: 36%

• Team and Advisors: 20%

• Private Investors: 21%

• Marketing and Liquidity: 5%

• Community and Behavior Mining Rewards: 7%

• Public Sale and Others: 11%

5.3 $PORT3 Core Utility

• Data Access Rights: Serves as a credential for accessing the AI data layer (OpenBQL), used to pay for query and automated execution operation fees.

• Activity Creation and Execution: $PORT3 is required to initiate tasks, events, airdrops, etc., on SoQuest and Rankit.

• Service Access and Unlocking: Projects or users can stake $PORT3 to unlock advanced social scoring and on-chain behavior insight features.

• Incentive Mechanism: Used in SoQuest, social mining, and other scenarios to reward authentic, high-quality users and data contributors.

• Governance Participation: In the future, $PORT3 will enable participation in DAO governance processes, such as adjusting protocol parameters and upgrading product modules.

In terms of the economic model, SoQuest introduced a Credit Points System based on $PORT3 staking: Projects stake $PORT3 to earn Credits, which unlock permissions for task creation, self-verification, and homepage Featured recommendations, forming a positive flywheel. Combined with the platform’s social scoring mechanism and AI anti-cheating system, it effectively mitigates common issues like leaderboard manipulation and fake traffic.

5.4 Token Liquidity and Market Performance: Strong Debut on Binance Alpha

Since its listing on Binance Alpha in May 2025, $PORT3 has seen a significant increase in market activity, becoming one of the most prominent projects on the platform:

• Alpha Sales Ranking #2: On June 3, 2025, $PORT3 recorded a 24-hour trading volume of $599.67M on Binance Alpha (BSC chain), ranking second across the platform.

• Active Derivatives Trading: During the same period, the 24-hour trading volume of $PORT3-USDT perpetual contracts peaked at 132 million PORT3 tokens, totaling approximately $68.4M.

• Broad On-Chain User Distribution: $PORT3 currently has over 100,000 unique holding addresses, with approximately 90% on BNB Chain and 10% on Ethereum.

Additionally, Port3’s Social Mining campaign on Binance Square has generated significant engagement:

• Over 410,000 users participated, with 518,000 interactions and 4.85 million behavioral data points generated, contributing substantial social interaction samples to its AI data layer.

This combination of high-frequency interactions + strong trading momentum + widespread holding distribution provides robust support for $PORT3’s market recognition and token liquidity. It initially validates the market feasibility and user appeal of Port3’s “tasks as data, behavior as assets” model.

6. Revenue Capability and Business Model

6.1 Business Model Overview

Port3’s Quest-as-a-Service (QaaS) model, with a $99/month subscription fee, boasts an exceptionally high repurchase rate. Additionally, it offers a DEX aggregator and other features. Across its various product matrices, each component has a corresponding pricing model.

6.2 Revenue Capability and Business Model

Port3 Network is gradually building a data-centric commercial closed loop that serves various application scenarios. Currently, its primary revenue sources include the Quest-as-a-Service (QaaS) model of SoQuest and transaction fees from the DEX Aggregator, corresponding to “upstream growth services” and “downstream financial scenario monetization,” respectively. These form a complementary dual-driver model.

6.2.1 SoQuest QaaS: Task-as-a-Service SaaS Pricing Model

As a cold-start and growth engine for Web3 projects, SoQuest provides QaaS (Quest-as-a-Service), enabling projects to quickly integrate task systems, build interaction funnels, and track social engagement effects.

• Base Pricing: $100/month per project, allowing up to 3 task creations.

• Value-Added Packages (Credits Model):

  • $99 for 50,000 Credits

  • $998 for 750,000 Credits

  • Credits can be used for task verification, NFT minting, API calls, and other features.

• Supported Features: The platform supports self-verification, task Featured placements, custom plugins, and more.

• Revenue Estimate: Assuming 500 projects adopt the base package, monthly revenue is approximately $50,000.

6.2.2 DEX Aggregator: Native Monetization Mechanism for Trading Entry

Beyond its task tools, Port3 has deployed a trading monetization entry within its data closed loop—an embedded DEX Aggregator, naturally guiding task users to trading scenarios to complete the behavioral loop.

• User Journey: Task platform → Recommended project assets → One-click trading (SoQuest Wallet + Aggregator)

• Core Data (May-June 2025):

  • Monthly Trading Volume: $54M+

  • Fee Rate: 0.5%

  • Estimated Monthly Revenue: $270,000+

• Revenue Calculation: $54M × 0.5% = $270K/month

6.3 Assessment and Outlook: From Service Fees to “Data as Revenue”

At the current stage, the DEX Aggregator is Port3’s highest revenue-generating business, significantly surpassing SoQuest QaaS. However, the two are not isolated; they mutually drive each other through behavioral data and user journey logic:

• QaaS: Drives user acquisition and social behavior aggregation.

• Aggregator: Enables behavior monetization and financial closed loops.

• BQL and Rankit: Provide data intelligence support (e.g., trading recommendations, trust ratings).

As AI Agent integration and OpenBQL commercialization (API call payments) progress, Port3’s data monetization pathways will become more diverse, with the potential to evolve from “service fees” to a “data-driven revenue network.”

7. Market Positioning and Future Growth Outlook: An Undervalued Full-Stack AI Data Infrastructure

Port3 Network, as a decentralized AI data protocol led by Jump Crypto, has been steadily building a complete ecosystem closed loop encompassing data collection (SoQuest), processing (AI Social Data Layer), invocation (OpenBQL), and output (Ailliance.ai). With the gradual rollout of modules like Rankit, QaaS API, and BQL, Port3 is evolving from a “task platform” to a “data fuel layer for AI Agents.” However, in the capital market, Port3 remains significantly undervalued.

7.1 Valuation Analysis: FDV of Only $44.37M, in a Valuation Trough

As of June 25, 2025, the $PORT3 token has a circulating market cap of approximately $15.5M and a Fully Diluted Valuation (FDV) of $44M, significantly lower than comparable projects like Galxe (circulating market cap $103M, FDV $129M). Its valuation remains at the “tool-type” project pricing stage, presenting significant room for valuation redefinition.

7.2 Growth Engine Outlook: From Narrative to Data Monetization

Short-Term Drivers:

• Binance Alpha Launch: Strong trading momentum, with $PORT3 achieving a single-day trading volume of $599.7M (Alpha) and $1.32B (Perpetuals) in June.

• Binance Incentives: Double points mechanism and 0.01% fee policy triggered a trading surge.

• Transaction Metrics: Over 2,400 daily transactions, with more than 92,000 token-holding addresses, primarily on BNB Chain.

• QaaS Commercialization: Task modules now support API integration, Credit-based billing, and self-verification. With Binance Alpha’s strong push and multi-project API integrations, Port3’s growth window is rapidly narrowing.

Mid-to-Long-Term Growth Pathways:

• AI Agent Ecosystem (Ailliance.ai): Port3 will serve Agent systems as a data layer, including investment-oriented AI Agents and task execution assistants.

• Rankit and DeFi Integration: Leveraging social scoring for contract parameters, credit models, and market signal detection.

• OpenBQL Multi-Project Integration: Expanding as a data query/operation interface for multiple protocols.

• South Korea Market Expansion: As a region with high acceptance of AI and social products, South Korea is poised to become a key growth curve for Port3. Data protocols are emerging as the next breakout track, and Port3 is one of the few players to have completed a closed loop from data capture → invocation → execution.

Highlights Summary

• Rare Full-Stack AI Data Protocol: Port3 is one of the few to build a complete “collection → structuring → querying → invocation” closed-loop AI data protocol, establishing an infrastructure-level moat with the potential to become Web3’s “data brain.”

• Authentic and Verifiable User and Data Foundation: SoQuest has reached over 7 million users and 7,000+ projects, aggregating cross-domain Web2+Web3 behavioral data. Combined with Rankit and OpenBQL, it creates a structured, callable, and traceable on-chain social behavior asset pool.

• Strong Momentum with Binance Alpha: $PORT3 achieved a single-day trading volume of $599.7M (Alpha) and $1.32B (Perpetuals), with over 410,000 participants in Binance Square social activities, demonstrating strong trading attributes and community mobilization.

• Undervalued Discovery Phase: With an FDV of only $44M, the market has yet to assign the valuation premium deserved for an “AI data protocol,” despite its complete product structure.

• Convergence of Social, AI, and Financial Narratives: Amid the rapid rise of AI Agents, on-chain identity, and socialized DeFi narratives, Port3 is building a rare “AI-native social graph” in Web3, with its value accelerating.

• Critical Transition from Tool to Protocol: Port3 has validated the “behavior as assets” closed-loop model, movingbeyond a task platform or scoring tool to become an AI-driven on-chain behavior standard protocol.

Port3 is not just a task platform or an on-chain scoring tool. In a time when the Web3 data graph is still taking shape, it is quietly constructing a new paradigm for behavior assetization as a data brain. With the continuous accumulation of on-chain and off-chain social data and ongoing improvements in AI capabilities, Port3 is poised to build a formidable barrier, becoming the AI data layer for the Web3 world.