Sentient Labs, one of the industry's largest open-source AI platforms in terms of funding (total funding of $85 million), today officially launched SERA-Crypto—an open-source AI research agent specifically designed for crypto and Web3 scenarios. It can provide on-chain analysis, token economic insights, and protocol risk assessments with complete citation sources and reproducible inference chains within 30 seconds, suitable for wallets, exchanges, dashboards, and research teams. SERA-Crypto's development goal is to address the long-standing reliability issues of general-purpose models in the financial industry, especially given the escalating trust crisis surrounding AI. As the crypto and prediction markets become mainstream, more and more users rely on AI to interpret rapidly changing odds, catalysts, and on-chain signals—and unreliable responses can lead to significant real-money losses. The noise and distorted trading volumes already observed on some platforms make it clear that the crypto industry cannot tolerate any illusions, fabrications, or outdated outputs. While general-purpose models can summarize market narratives, they often struggle to update on-chain data in real time and fail to provide clear, auditable reasoning processes. SERA-Crypto, however, is specifically built for Web3 research scenarios—each answer is based on the latest data, utilizes multiple tools in parallel, and employs reproducible thought processes, allowing teams to thoroughly validate results before taking action. Through its innovative open-source architecture, it can output verifiable and accurate answers within 30 seconds. For example, when asked, "What is the current revenue of the Solana ecosystem? How has it grown in the past?" SERA-Crypto will provide a structured analysis that includes: ecosystem revenue data, peak periods, growth curves, benchmarks, daily data at the specific protocol level, risk factors, and forward-looking perspectives. In contrast, while GPT-5 provides accurate overall data, it relies too heavily on a single source, lacks detailed protocol-level breakdowns, and tends to require users to "keep asking questions" to obtain complete information. Perplexity Finance, on the other hand, while having comprehensive citations, has limited analytical dimensions and lacks in-depth interpretations of revenue drivers, industry structure, and forward-looking implications. Himanshu Tyagi, co-founder of Sentient and professor at the Indian Institute of Science, stated, “In the crypto industry, the cost of an AI giving a wrong answer can be extremely high. If a Coinbase user queries the unlock schedule of a token but receives content fabricated by AI, that’s a real financial risk. We’ve built a research framework that the crypto industry deserves and open-sourced it so that anyone can verify and improve it.” SERA-Crypto is based on Sentient's latest SERA (Semantic Embedding and Reasoning Agent) semantic embedding and reasoning agent architecture, designed specifically for the Web3 domain, covering blockchain principles, smart contracts, DeFi, DAO, and token economics. SERA-Crypto's key advantages over general models: 1. Temporal Relevance It provides up-to-date data within 24–48 hours, while general models typically have a delay of more than 7 days—almost equivalent to "outdated" in the highly volatile crypto market. 2. In-depth research capability It delivers complete token economic analysis, on-chain revenue data, and protocol risk assessments, whereas general models typically only provide a superficial summary. 3. Data Consistency Ensuring logical coherence between metrics and alignment with references effectively addresses the issues of illusion and self-contradiction. 4. Multi-scenario Applications (Use Cases) Supports wallets, exchanges, data dashboards, etc., including: Real-time unlock schedule Protocol risk warning during swap DAO Proposal Explanation Sources of Price Fluctuations All based on on-chain behavior. 5. Performance The analysis is completed in 30 seconds, and the cost is only a fraction of that of a closed-source solution. SERA-Crypto currently integrates over 50 tool endpoints—covering market data APIs, TVL trackers, derivatives subscription feeds, and more—and schedules them in parallel to achieve a response time of within 30 seconds. The framework was developed based on real traffic from the Sentient community (290,000+ users, over 22 million queries) and is now available on Sentient Chat (chat.sentient.xyz). It will be open-sourced in phases starting next week. Regarding Sentient Sentient is building a community-driven, open AI technology ecosystem that makes state-of-the-art models transparent and accessible. Backed by Founders Fund, Pantera Capital, and Framework Ventures, Sentient is committed to creating an open-source AGI ecosystem that aligns with community values and provides fair incentives for builders, ensuring that AI remains open at all times. Sentient Labs, one of the industry's largest open-source AI platforms in terms of funding (total funding of $85 million), today officially launched SERA-Crypto—an open-source AI research agent specifically designed for crypto and Web3 scenarios. It can provide on-chain analysis, token economic insights, and protocol risk assessments with complete citation sources and reproducible inference chains within 30 seconds, suitable for wallets, exchanges, dashboards, and research teams. SERA-Crypto's development goal is to address the long-standing reliability issues of general-purpose models in the financial industry, especially given the escalating trust crisis surrounding AI. As the crypto and prediction markets become mainstream, more and more users rely on AI to interpret rapidly changing odds, catalysts, and on-chain signals—and unreliable responses can lead to significant real-money losses. The noise and distorted trading volumes already observed on some platforms make it clear that the crypto industry cannot tolerate any illusions, fabrications, or outdated outputs. While general-purpose models can summarize market narratives, they often struggle to update on-chain data in real time and fail to provide clear, auditable reasoning processes. SERA-Crypto, however, is specifically built for Web3 research scenarios—each answer is based on the latest data, utilizes multiple tools in parallel, and employs reproducible thought processes, allowing teams to thoroughly validate results before taking action. Through its innovative open-source architecture, it can output verifiable and accurate answers within 30 seconds. For example, when asked, "What is the current revenue of the Solana ecosystem? How has it grown in the past?" SERA-Crypto will provide a structured analysis that includes: ecosystem revenue data, peak periods, growth curves, benchmarks, daily data at the specific protocol level, risk factors, and forward-looking perspectives. In contrast, while GPT-5 provides accurate overall data, it relies too heavily on a single source, lacks detailed protocol-level breakdowns, and tends to require users to "keep asking questions" to obtain complete information. Perplexity Finance, on the other hand, while having comprehensive citations, has limited analytical dimensions and lacks in-depth interpretations of revenue drivers, industry structure, and forward-looking implications. Himanshu Tyagi, co-founder of Sentient and professor at the Indian Institute of Science, stated, “In the crypto industry, the cost of an AI giving a wrong answer can be extremely high. If a Coinbase user queries the unlock schedule of a token but receives content fabricated by AI, that’s a real financial risk. We’ve built a research framework that the crypto industry deserves and open-sourced it so that anyone can verify and improve it.” SERA-Crypto is based on Sentient's latest SERA (Semantic Embedding and Reasoning Agent) semantic embedding and reasoning agent architecture, designed specifically for the Web3 domain, covering blockchain principles, smart contracts, DeFi, DAO, and token economics. SERA-Crypto's key advantages over general models: 1. Temporal Relevance It provides up-to-date data within 24–48 hours, while general models typically have a delay of more than 7 days—almost equivalent to "outdated" in the highly volatile crypto market. 2. In-depth research capability It delivers complete token economic analysis, on-chain revenue data, and protocol risk assessments, whereas general models typically only provide a superficial summary. 3. Data Consistency Ensuring logical coherence between metrics and alignment with references effectively addresses the issues of illusion and self-contradiction. 4. Multi-scenario Applications (Use Cases) Supports wallets, exchanges, data dashboards, etc., including: Real-time unlock schedule Protocol risk warning during swap DAO Proposal Explanation Sources of Price Fluctuations All based on on-chain behavior. 5. Performance The analysis is completed in 30 seconds, and the cost is only a fraction of that of a closed-source solution. SERA-Crypto currently integrates over 50 tool endpoints—covering market data APIs, TVL trackers, derivatives subscription feeds, and more—and schedules them in parallel to achieve a response time of within 30 seconds. The framework was developed based on real traffic from the Sentient community (290,000+ users, over 22 million queries) and is now available on Sentient Chat (chat.sentient.xyz). It will be open-sourced in phases starting next week. Regarding Sentient Sentient is building a community-driven, open AI technology ecosystem that makes state-of-the-art models transparent and accessible. Backed by Founders Fund, Pantera Capital, and Framework Ventures, Sentient is committed to creating an open-source AGI ecosystem that aligns with community values and provides fair incentives for builders, ensuring that AI remains open at all times.