Web3 For Beginners

ST is the core utility token of the Sentio ecosystem, acting as the primary medium for value transfer among developers, data infrastructure, and network participants. As a key component of Sentio’s real-time on-chain data network, ST is used for resource utilization, network incentives, and ecosystem collaboration, supporting the platform in building a sustainable data service model. By implementing the ST token mechanism, Sentio combines network resource usage with ecosystem incentives, allowing developers to access real-time data services more efficiently and strengthening the long-term sustainability of the entire data network.

Sentio (ST) is a real-time on-chain data infrastructure tailored for the Web3 ecosystem, designed to provide developers and protocols with instant data indexing, visualization analytics, and auto alert services. Unlike traditional on-chain data platforms, Sentio prioritizes real-time data and advanced monitoring capabilities, enabling DeFi protocols, development teams, and on-chain analytics scenarios to rapidly capture on-chain events and generate actionable data insights. Through the integration of real-time indexing, dashboard visualization, and automated alert mechanisms, Sentio offers a more efficient data infrastructure for Web3 applications, playing a critical role in on-chain protocol monitoring, risk alerts, and operational analytics.

Sentio's real-time data indexing system continuously monitors on-chain events, parsing, processing, and outputting data the moment it is generated to deliver low-latency data monitoring. The real-time data processing workflow consists of four main stages: event monitoring, data parsing, structured processing, and real-time output, providing support for DeFi protocol monitoring, security alerts, and on-chain operations analysis. Unlike traditional on-chain data platforms, Sentio is built around real-time, event-driven processing, allowing raw blockchain logs to be instantly transformed into visual metrics and auto alerts.

Sentio and The Graph are both platforms for on-chain data indexing, but they differ markedly in their core design goals. The Graph utilizes subgraphs to index on-chain data, focusing mainly on data querying and aggregation needs. Sentio, on the other hand, employs a real-time indexing mechanism that prioritizes low-latency data processing, visualization monitoring, and auto alert features—making it especially well-suited for real-time monitoring and risk warning use cases.

The workflow of cryptocurrency OTC trading typically includes trade initiation, RFQ (Request for Quote), multiple price submissions, price selection, and final settlement. By relying on market makers to provide liquidity, OTC trading reduces slippage and avoids market impact. With the introduction of algorithmic trading, the OTC process is increasingly becoming automated, allowing institutions to execute trades efficiently and consistently across fragmented liquidity environments.

Algorithmic trading, or algo trading, refers to the use of programmed models to automate trading decisions and order execution. In the crypto OTC market, it is primarily used to optimize the RFQ, or request for quote, process and enable smart routing and liquidity aggregation, helping traders achieve best execution in a fragmented market. Through automated quote distribution, real time price analysis, and path optimization, algorithmic trading not only significantly reduces slippage and market impact, but has also become core infrastructure for institutional block trading, driving the OTC market toward greater electronic and systematic development.

In the cryptocurrency market, institutions typically execute large trades by combining RFQ (Request for Quote) with algorithmic trading. RFQ is used to obtain customized quotes from multiple liquidity providers, while algorithmic trading automates request distribution, optimizes quote selection, and ensures best execution. Together, this approach reduces slippage, minimizes market impact, and improves execution efficiency, making it a core method for institutional trading in today’s OTC markets.

RFQ, or Request for Quote, is a pricing mechanism widely used in crypto OTC trading. It allows traders to request quotes from multiple liquidity providers and select the best available price to execute a trade. Compared to traditional order book matching, RFQ helps reduce slippage, minimizes market impact, and supports large transactions. With the rise of algorithmic trading, the RFQ process is becoming increasingly automated and intelligently routed, making it a foundational component of institutional-grade trading infrastructure.

Crypto over the counter trading, or OTC, is a way to execute large transactions outside of public exchanges, typically facilitated by market makers or brokers. At its core is the RFQ, or Request for Quote mechanism, which allows traders to obtain customized pricing and complete large deals while minimizing slippage and market impact. As algorithmic trading continues to evolve, the OTC market is becoming more automated and intelligent, improving both liquidity and execution efficiency. OTC trading is best suited for high net worth individuals, institutions, and those handling large orders, but it also involves liquidity, counterparty, and regulatory risks.

The role of idOS in stablecoin ecosystems lies in providing a reusable on-chain identity infrastructure that allows users to share verified identity data across different financial applications. Through encrypted storage and permissioned access, idOS enables stablecoin platforms to verify user identities without requiring repeated KYC processes, reducing compliance costs while improving user experience. By introducing an identity layer, stablecoins can meet regulatory requirements without compromising privacy, serving as a crucial bridge between on-chain finance and the real world.

The core mechanism of idOS revolves around “encrypted storage plus access authorization (Access Grant).” User identity data is first verified by an issuer and then encrypted and stored within the idOS network. Applications, known as consumers, can only access this data after receiving user authorization. Through this process, idOS enables reusable identity data, protects privacy, and allows secure data portability across applications, making it possible to use sensitive information like KYC across platforms without repeated submissions.

idOS (IDOS) is a Web3 identity layer that provides users with portable identity verification and self-custodied data storage, allowing KYC information to be reused across platforms. By linking identity to blockchain addresses, idOS addresses fragmentation and repetitive verification in Web3, emerging as a critical infrastructure connecting users, applications, and compliance systems within the stablecoin economy.

OPN is the core token within the Opinion Labs ecosystem, designed to coordinate incentives and value distribution across on-chain prediction markets and real-world data systems. Its tokenomics model captures value during the transformation of real-world information into tradable assets by rewarding data providers, prediction participants, and validation nodes. At its core, OPN leverages supply and demand dynamics alongside market-driven incentives to improve data quality, enhance market liquidity, and support the efficient operation of the entire data assetization network.

Opinion uses Oracles and blockchain infrastructure to convert news, macroeconomic data, and event outcomes into verifiable data streams, which are then standardized into tradable market contracts. Its core mechanisms include data collection, validation, on-chain submission, and result settlement, enabling users to predict and trade around real-world events. The key value of this system lies in transforming fragmented and unstructured information into priceable, composable on-chain assets, thereby improving transparency and efficiency in information markets.

Opinion (OPN) is an on-chain trading infrastructure designed to transform macroeconomic data, forecasts, and news into standardized, tradable assets. By combining AI Oracle systems, on-chain data layers, and trading tools, Opinion converts fragmented and unstructured information into structured market signals that can be priced and traded on-chain.