1. Introduction

In the world of Web3, data is transforming from static information to dynamic assets. In particular, users’ social behavior data is becoming the most valuable but underdeveloped “digital mineral” in the AI era. The huge value contained in the social data generated every hour and every minute has not yet been fully explored by people.

We see that the reality of Web3 is fragmented: on the one hand, we have witnessed the explosive growth of vertical protocols such as DeFi, NFT, and GameFi, and users have generated a large amount of behavioral data on and off the chain; on the other hand, these data are scattered in isolated DApps, transaction records, and social platforms, lacking structured integration, making it difficult to build a unified portrait and unable to be truly called.

At the same time, the rise of AI is rapidly reshaping the entire digital world. For example, OpenAI's ChatGPT, Anthropic's Claude, and Agent projects built on Web3 such as Autonolas, Morphpad, and Mind Network have all proposed the vision of "callable data + executable intent".

In this context, a question arises: If AI is the future, who will build the data layer and decision-making foundation of Web3? There is such a project, Port3 Network, which gives a more ultimate answer:

From the initial SoQuest task platform, to Rankit's social behavior scoring engine, to OpenBQL's cross-chain intent execution language, Port3 has built a set of "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 through standardization and intent recognition, makes data an "action template" that can be understood, called, and executed by intelligent agents.

In other words, Port3 is no longer a single task platform or tool, but has occupied the strategic position of "Web3 data brain" before narratives such as data sovereignty, on-chain identity, and social finance are truly integrated.

Klein Labs will deeply analyze Port3's product matrix, technical moat, token mechanism and growth logic, and explore how it can establish a closed loop of data circulation for AI Agents in the fragmented Web3 world and become the hidden infrastructure for the next trillion-level trend.

2. Project Introduction

2.1 What is Port3?

Port3 Network is an AI-driven Web3 social data infrastructure project led by Jump Crypto, which aims to build 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 query (OpenBQL) to Agent call (Ailliance.ai), becoming a key facility for on-chain behavior assetization in the AI era.

2.2 Project Overview

2.1.1 Financing

February 2023: Completed a $3 million seed round of financing , led by Jump Crypto, with other investors including SNZ, Block Infinity, Dragon Roark, ViaBTC, Cryptonite, Lapin Digital, Cogitent and Momentum6.

August 2023: Received a new round of millions of dollars in financing, with investors including EMURGO, Adaverse Accelerator and Gate Labs.

October 2023: Announced 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; has extensive experience in Web3 project incubation and ecosystem expansion.

Anthony Deng: Co-founder, worked in backend development at Tencent and Viabtc Technology Limited, with many years of experience in high-concurrency system design and distributed architecture

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

Although Port3’s product matrix includes multiple sub-modules such as SoQuest, Rankit, OpenBQL, on.meme, etc., which seem scattered, they can actually be summarized into one core theme: “Behavior is an asset, and Port3 is responsible for the closed loop of data flow from collection to conversion.

 (Figure: Port3 product stratification; Source: Port3)

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. It is essentially a data generation system that uses tasks as a trigger mechanism and user social behavior as a collection object, opening up the behavioral path between on-chain interactions and Web2 social platforms.

SoQuest supports mainstream Web2 platforms such as Twitter, Telegram, Discord, and is compatible with interactive behaviors on 19 chains such as EVM, Solana, Aptos, Sui, including transactions, authorization, NFT mint, etc., forming one of the most widely covered behavior collection systems in the Web3 field.

As of mid-2025, Port3 Network has collected dynamic data from more than 6 million users and 7,000 projects, and the data coverage has exceeded 10 million crypto users. It has generated a large number of user behavior records and chain social interaction events, and built a real, multi-dimensional, high-frequency Web3 social behavior database.

In order to improve the platform's scalability and data collection capabilities, SoQuest has launched the QaaS (Quest-as-a-Service) module, which allows project owners to embed the task system into their own dApp or Telegram Mini App. In 2025, the verification API will be further opened, and the verification logic can be embedded without preset templates, which greatly improves the standardization and versatility of the task system.

SoQuest is not just a task platform, it is the starting point of the Port3 full-chain behavioral asset closed loop and the original source of behavioral semantic data required to support AI reasoning.

3.1.2 Data Accumulation-AI Social Data Layer

The user behavior data captured by SoQuest is eventually deposited into the core module of Port3 Network - AI Social Data Layer, which is a structured behavior database designed specifically for AI applications. It is also the underlying infrastructure for Port3 to realize "behavioral assetization" and "information financialization (InfoFi)".

Different from the design concept of traditional on-chain data platforms (such as The Graph, Dune, etc.) that focus on "query", Port3's data layer focuses on: how to make data used by AI models and support automatically executed on-chain reasoning and interaction.

The AI Social Data Layer integrates tens of millions of on-chain interaction records and social task behavior data, and continuously updates them in real time through application modules such as SoQuest and Rankit, building a self-growing dynamic social data system. It is the behavioral cognition center of Port3, which structures and semanticizes complex on-chain and off-chain behavior data, providing "understandable, combinable, and callable" data fuel for intelligent entities.

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 and is the “visual execution” of BQL data capabilities at the AI layer.

Rankit’s capabilities and paradigm innovations:

• Cross-platform social heat score: Integrate 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 discussion focus, KOL influence, and user trust are converted into structured indicators for use in scenarios such as community governance, lending risk control, and on-chain transactions.

• Demonstration of vertical scenarios: For example, the newly launched USD1 ecological data engine tracks potential projects on the BNB Chain in real time through heat maps, social activity and on-chain momentum, becoming a smart compass for DeFi users to capture Alpha.

With the support of Rankit, Port3 can not only provide data, but also provide "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, the semantic core and operating engine for processing, organizing, and calling all behavioral data.

The role and mechanism of BQL:

• Common language layer: BQL provides a natural language-friendly query structure, allowing developers or agents to use instructions such as "buy NFT on the Aptos chain" to implement actual operations on the chain and connect the EVM, BTC, and Solana multi-chain environments.

• Standardized execution layer: It supports one-click automated processing of on-chain asset operations (such as trading, staking, and liquidity addition), and is the key hub for on-chain behavior automation.

• Data semantic extractor: Provides standard structured data support for AI models and agents, and realizes the high-frequency data update and calculation required for information financialization (InfoFi).

With BQL, Port3 is driving the Web3 world to build a new "on-chain natural language protocol" to move on-chain behavior from the "code layer" to the "intention layer" - machines not only execute the instructions you say, but also understand your intentions.

AI Agent docking capabilities: Ailliance.ai

• Port3 is building a general Agent API layer, which allows developers to directly call structured data or execute instructions generated by Rankit/SoQuest/OpenBQL.

• Applications include automated investment assistants, interactive robots, blockchain gaming smart assistants, etc., covering a variety of scenarios such as transaction decisions, task release, and community operations.

This entire product structure makes Port3 the only platform in the Web3 social data track that has the full process capabilities of "collection → analysis → application → call".

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.

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

The fundamental reason why Port3 can take the lead in the Web3 AI narrative is not because it has advanced large-scale model capabilities, but because it has built up high-value social behavior data assets with great depth and breadth during its business accumulation. This data advantage has laid a unique foundation for Port3's AI applications, agent construction, and model training:

3.2.1. Tens of millions of on-chain and off-chain behavior data

Relying on SoQuest's three-year-long task platform operation, Port3 has accumulated more than 10 million user participation tracks, covering multiple dimensions such as task behavior, wallet interaction, on-chain assets, and community participation. These data span Web2 and Web3, such as Twitter posts, Discord activity, Telegram retention, on-chain transactions, pledges, positions, etc., forming an extremely dense social behavior map. In the context of the current AI model "data is fuel", this type of structured and high-frequency interactive behavior data is undoubtedly the most valuable input resource for building Web3 AI Agents.

3.2.2 Deep cooperation with thousands of project parties, continuous real-time data update

Port3 is not a single product-oriented platform, but has established cooperative relationships with more than 7,000 Web3 projects, covering multiple scenarios such as airdrop issuance, task design, community governance, and on-chain interaction. This cooperation not only brings real user behavior, but also ensures the diversity and real-time nature of data sources. Through the data channel jointly built with the project party, Port3 continuously absorbs the latest ecological trends and user trends to build a dynamically evolving data engine rather than a set of static snapshots. This data update capability provides a continuously evolving "training material pool" for AI models.

3.2.3 Form a dedicated data set for AI model training to provide semantic support for on-chain agents

Compared with general Web2 data, the on-chain identity, interaction path, and asset behavior of Web3 users are highly anonymous and structurally complex, making it difficult for traditional models to adapt. Port3, through Rankit's semantic recognition and behavior labeling system, has opened up the mapping path between on-chain behavior and natural language semantics. For example, "Wallet A participates in airdrops + posts tweets + participates in governance twice in Protocol B" can be modeled as "active participants" or "early evangelists" semantic labels, allowing AI Agents to understand and mobilize these user groups. This is the key to pushing on-chain AI models from "perception" to "understanding".

Port3's AI advantage is not built out of thin air, but comes from the real user data, multi-dimensional behavior trajectories and continuously updated project cooperation accumulated from its three-year mission platform operation. This highly structured, native semantically clear, and callable data system is the foundation asset for the future explosion of Web3 AI Agent capabilities.

In this era where data is value, Port3 has stood at the bottom of the Web3 "on-chain intelligent entity" stack.

4. Competitive product analysis

In the current Web3 market, many projects focus on a certain vertical segment, such as task platforms, social scoring, data indexing, etc. However, Port3 is not just a collection of single-point tools, but a complete chain from data collection → data modeling → data call → execution automation.

This closed-loop capability of "product synergy" is its biggest differentiating advantage. The following is a comprehensive comparison of Port3's main product: SoQuest and mainstream competing products in terms of product dimensions:

The core advantages of Port3 are:

• Closed-loop ecological collaboration capabilities: SoQuest (collection) → Rankit (processing) → OpenBQL (call) → Agent execution. This multi-module collaboration has a great compound interest effect.

• AI native design: It is not about “applying AI to data”, but taking AI as the origin of the architecture (intent recognition, natural language execution, emotion map, agent call).

• The data source covers a wide range: Web2 + Web3 dual-track data input, and the accuracy of social behavior recognition is higher than that of competitors that only use on-chain analysis.

• Strong future scalability: After the AI Agent API is opened, it has the potential to become an "OpenAI on-chain" infrastructure.

In addition, if Port3 is considered as a social layer AI network, its competitors will be far more than these. We will expand on this in the following analysis article.

5. Token Model and Economic Mechanism

5.1 Basic Situation

• Total supply: 1 billion

• Market cap: $15.5M (June 25, 2025)

• FDV: $43.4M (June 25, 2025)

• Token listings: Bybit, Gate, MEXC, Coinone, Binance (perps)

• Token unlocking status: unlocking progress 53%

 https://coinmarketcap.com/currencies/port3-network/#token_unlocks

5.2 Token Allocation

Port3's token distribution plan takes into account ecological incentives, team interests and community governance, and supports long-term sustainable development.

• Ecological incentives: 36%

• Team and consultants: 20%

• Private equity investors: 21%

• Market and Liquidity: 5%

• Community and behavior mining rewards: 7%

• Public offering and others: 11%

5.3 $PORT3 Core Utility

• Data call permission: as a call credential for the AI data layer (OpenBQL), used to pay for query and automatic execution operations;

• Activity creation and execution: Initiating tasks, activities, airdrops, etc. in SoQuest and Rankit consumes $PORT3;

• Service access and unlocking: Project owners or users can stake $PORT3 to unlock advanced social scoring and on-chain behavioral insights;

• Incentive mechanism: used to incentivize real high-quality users and data contributors in scenarios such as SoQuest and social mining;

• Governance participation: In the future, you can participate in governance processes such as protocol parameter adjustments and product module upgrades through DAO.

In terms of economic model, SoQuest has introduced a Credit points system based on PORT3 token staking: projects obtain Credit by staking $PORT3, which is used to unlock permissions such as task creation, self-service authentication, and featured recommendations on the homepage, forming a positive flywheel. In conjunction with the platform's social scoring mechanism and AI anti-cheating system, it can effectively resist common problems such as ranking manipulation and fake traffic.

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

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

• Alpha sales ranked second: On June 3, $PORT3's 24-hour trading volume on the Binance Alpha (BSC) chain reached $599.67M, ranking second on the entire platform.

• Derivatives trading is active: During the same time period, the 24-hour trading volume of the $PORT3-USDT perpetual contract peaked at 132 million PORT3s, totaling approximately $68.4M.

• On-chain users are widely distributed: $PORT3 currently has more than 100,000 total addresses holding coins, of which BNB Chain accounts for about 90% and Ethereum accounts for about 10%.

In addition, the Social Mining event launched by Port3 on Binance Square also received a strong response:

• The total number of users participating in the event exceeded 410,000, with a total of 518,000 interactions, generating 4.85M behavioral data, contributing considerable social interaction samples to its AI data layer.

This combination of high-frequency interaction + strong trading momentum + high coin holding distribution provides solid support for $PORT3's market awareness and token liquidity, and preliminarily verifies the market feasibility and user appeal of Port3's "task is data, behavior is asset" model.

6. Revenue Capacity and Business Model

6.1 Business Model Overview

Port3's Quest-as-a-Service model, with a fee model of $99/month, has a very high repurchase rate. In addition, there are DEX aggregators, etc. In each of its product matrices, there are corresponding charging models.

6.2 Revenue Capacity and Business Model

Port3 Network is gradually building a closed business loop with data as the core and serving multiple application scenarios. At present, its main sources of income include SoQuest's QaaS model and DEX Aggregator's fee income, which correspond to "upstream growth services" and "downstream financial scenario monetization" respectively, forming a complementary dual-wheel drive.

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

As the cold start and growth engine of Web3 projects, SoQuest provides QaaS (Quest-as-a-Service) services to help projects quickly integrate task systems, build interactive funnels, and track social effects.

• Basic fee: $100 per project per month, can create up to 3 tasks
• Value-added Package (Credits Mode):

  • $99 / 50,000 credits

  • $998 / 750,000 credits

  • Credits can be used for task verification, NFT Mint, API calls, etc.

• Support method: The platform supports self-service authentication, task Featured, custom plug-ins, etc.
• Income estimation: Currently assuming 500 projects use the basic package → monthly income is about $50,000

6.2.1 DEX Aggregator: Native Monetization Mechanism of Trading Entrance

In addition to task tools, Port3 has also deployed a transaction monetization portal in the data closed loop - an embedded DEX aggregator, which naturally directs task users to transaction scenarios and completes the behavioral closed loop.

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

• Core data (May-June 2025):

  Monthly trading volume: $54M+

  • Fee rate: 0.5%

  • Estimated monthly income: $270,000+

• Income calculation: $54M × 0.5% = $270K/month

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

At this stage, DEX Aggregator is the business with the highest revenue share of Port3, significantly exceeding SoQuest QaaS. However, the two are not isolated, but driven by each other through behavioral data and user journey logic:

• QaaS is responsible for traffic diversion and social behavior sedimentation

• Aggregator realizes behavioral monetization and financial closed loop

• BQL and Rankit provide data intelligence assistance (such as transaction recommendations, trust ratings)

With the access of AI Agent and the gradual advancement of OpenBQL commercialization (API call payment), Port3's data monetization path will become richer, and it is expected to evolve from "service charges" to "data-driven revenue network" in the future.

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

As a decentralized AI data protocol led by Jump Crypto, Port3 Network has been continuously building a complete ecological closed loop covering data collection (SoQuest), processing (AI Social Data Layer), calling (OpenBQL), and output (Ailliance.ai) since its launch. With the gradual implementation of modules such as Rankit, QaaS API, and BQL, Port3 is evolving from a "task platform" to a "data fuel layer for AI agents."

However, in the pricing of the capital market, Port3 is still significantly undervalued.

7.1 Market value analysis: FDV is only $44.37M, which is in the valuation trough

As of June 25, 2025, the current market value of Port3 token $PORT3 is only about $15.5M, and the FDV is $44M, which is significantly lower than the similar project Galxe (market value $103M FDV $129M)

Valuations are still at the "tool-type" project pricing stage, with significant room for valuation reconstruction.

7.2 Growth Engine Outlook: From Narrative to Data Monetization

Short term drive:

Strong trading momentum brought by Binance Alpha launch

• PORT3's daily trading volume in June reached $599.7M (Alpha) and $1.32B (Perp)

• Binance's double points mechanism + 0.01% handling fee policy triggers a trading boom

• The number of daily transactions exceeds 2,400+, the number of TOKEN holding addresses exceeds 92,000, and BNB Chain is the main battlefield

• QaaS commercialization has achieved initial success

• The task module already supports API access, credit billing and self-service authentication

With the strong promotion of Binance Alpha + multi-project API integration, Port3's growth window is rapidly narrowing

Medium to long-term growth path:

• AI Agent Ecosystem Openness (Ailliance.ai): Port3 will serve the Agent system as a data layer, including investment AI agents and task execution assistants.

• Rankit and DeFi linkage: using social scoring for contract parameters, credit models and market signal detection

• OpenBQL multi-project integration: Expanding multi-party protocols as data query/operation interfaces

• Korean market operation landing: As a region with high acceptance of AI and social products, the Korean market is expected to become an important growth curve for Port3

Data protocols are becoming the next hotspot, and Port3 is one of the few players that has completed the closed loop from data capture → call → execution.

Summary of highlights

• A scarce target for full-stack AI data protocols

  Port3 is one of the few AI data protocols that has built a full-link closed loop of "collection → structuring → query → call". It has an infrastructure-level moat and is expected to become the "data brain" of the Web3 world.

• Users and data base are verifiable

  SoQuest has reached more than 7 million users and 7,000+ projects, and has accumulated Web2+Web3 cross-domain behavior data. Combining Rankit and OpenBQL, it builds a structured, callable, and traceable chain social behavior asset pool.

• Binance Alpha is gaining momentum

  $PORT3 has achieved a single-day trading volume of $599.7M (Alpha) and $1.32B (Perp), and attracted more than 410,000 participants in Binance Square social events, demonstrating strong trading attributes and community mobilization capabilities.

• Valuation is in the discovery stage

  The current FDV is only $44M, but the product structure is complete and the market has not yet given the "AI Data Protocol" the valuation premium it deserves.

• The intersection of social × AI × finance

  Against the backdrop of the rapid rise of new narratives such as AI Agent, on-chain identity, and social DeFi, Port3 is building a rare "AI native social graph" in the Web3 world, and its value is being released at an accelerated pace.

• The critical transition period from tools to protocols has arrived

  Port3 has run through the closed-loop model of "behavior is asset". It is no longer just a task platform or a running tool, but an AI-driven on-chain behavior standard protocol.

Port3 is not just a task platform, nor is it an on-chain scoring tool. Instead, it quietly builds a data brain for a new paradigm of behavioral assetization when the Web3 data map has not yet taken shape. With the continuous accumulation of social data on and off the chain and the continuous improvement of AI capabilities, Port3 will build sufficient barriers and become the AI data layer of the Web3 world.