Autonomous Execution Agents are Expanding the Action Space in Crypto?-?How SuperSight is Leading the?Foray

TL;DR:

• SuperSight has developed a proprietary method to interact with blockchains completely in natural language?—?from insights to execution.
• Despite over 300M crypto users, estimates suggest that only 0.01% of individuals can programmatically derive and execute insights. SuperSight’s unique AI is engineered to bridge this competency gap, providing a platform for building a fully Autonomous Execution Agent (AEA) without writing a single line of code.
• Looking forward, SuperSight targets the lucrative programmatic execution market. By tapping into the rapidly growing bot markets within the Ethereum and Solana ecosystems, where the average execution bot generates monthly revenues upwards of $2M and $5M, respectively, SuperSight aims to capture significant market share.

The UX in crypto is broken, making it challenging for smaller, less resourced firms. This limitation arises from the complexities of establishing indexer nodes, data cleansing, deciphering SQL data warehouse schemas, and integrating actionable insights with execution.

As of July 2024, 26,037 monthly active developers are working in crypto. Contrast this with the over 41.4M wallets that have conducted one transaction or more on the Ethereum blockchain in the past year alone, as reported by SuperSight copilot. This disparity points to a significant gap: most users, including sophisticated traders, can only autonomously implement advanced strategies with technical assistance.

Today, if a sophisticated trader wants to derive insights and set up an Autonomous Execution Agent (AEA) that buys a common new token that 30% of the 100 most profitable traders of $OPSEC are buying, they simply cannot unless they hire a developer to write these trading strategies.

How SuperSight stands out in the AI x Crypto Landscape

On the SuperSight platform, you can set up an Autonomous Execution Agent (AEA) to perform and implement advanced strategies within seconds. It’s also interesting to note that no single player currently completes the loop regarding data availability and user experience except Supersight.

Regarding data availability, SuperSight excels by aggregating off-chain data from reliable internet sources and computing complex SQL queries. It joins different relationally aware schemas to derive meaningful analytics from blockchain data across multiple chains.

For user experience, SuperSight enables users to begin their research with ease by querying a vast dataset using natural language through a chat interface. Once users delve into the data, SuperSight can autonomously suggest a few optimal execution strategies, allowing users to make informed decisions and execute them seamlessly.

Below are examples of on-chain data platforms on the market and their limitations:

With its comprehensive data warehouse that merges current global events with on-chain data, SuperSight stands out from competitors and establishes a platform that users need help to leave due to the high switching costs.

Setting up Autonomous Execution Agents (AEAs) for Complex?Tasks

SuperSight simplifies the token discovery process, which you can see here. In this scenario, a user engages with the SuperSight platform using natural language queries to decipher the dynamics surrounding the Ethena ($ENA) stablecoin.

They can identify and analyze the top 250 traders yielding the highest returns from $ENA, aggregate these traders into a cohort, and scrutinize their recent token purchasing activities over the last seven days.

Users can then set up an Autonomous Execution Agent (AEA) to mirror the activities of these cohort members. Additionally, SuperSight provides capabilities to unearth patterns around insider trading activities, as demonstrated in this user’s journey. In this scenario, a user investigates the events surrounding the Uniswap Fee Switch proposal.

The user can ascertain anomalous trading patterns by examining on-chain activities leading up to the proposal date. In the Uniswap case, the analysis reveals minimal insider activity, with the largest profit being only $80K.

However, should significant insider trading be detected, the platform allows the user to deploy an Autonomous Execution Agent (AEA) that can either issue alerts or autonomously execute trades based on these insights, enhancing both the timeliness and efficacy of strategic responses.

SuperSight’s Proprietary Innovations and Their Implications

SuperSight has architected significant proprietary innovations within the natural language to insights and execution pipeline. The initial breakthrough involves an advanced Natural Language Understanding (NLU) layer capable of dissecting user intent and translating it into the requisite executable code, facilitating both insight generation and direct action. This layer incorporates sophisticated algorithms designed to resolve lexical ambiguity, ensuring the fidelity and relevance of the insights provided to the user.

The next significant innovation is SuperSight’s ability to convert natural language queries directly into SQL code. Their system outperforms other platforms’ accuracy and efficiency, reflecting their advanced algorithmic approach that seamlessly integrates with diverse data environments. This is evident when asking the same question to different platforms, including Arkham, Airstack, and Space & Time.

Moreover, SuperSight has developed advanced methods for retrieving insights from vector databases. Despite the entire AI industry’s heavy reliance on semantic search techniques within modern Retrieval-Augmentation Generation (RAG) implementations, these methods often falter when querying about “current recent events in crypto.”

Traditional systems might search for these exact words without understanding the context or the timeliness the query demands. SuperSight addresses these limitations by deploying an advanced NLU framework in its upcoming Copilot v2 release. This enhanced layer will not only grasp the intricacies of complex queries related to off-chain data but also deliver responses with unprecedented accuracy, thereby significantly improving the user’s decision-making process.

Through these technological advancements, SuperSight is redefining the boundaries of blockchain interaction, facilitating a more intuitive and effective user engagement with blockchain and traditional data sources.

Benefits Supersight Offers to Users:

• Efficient Executable Insight Generation: SuperSight enables users to perform complex data analyzes through simplified interfaces, allowing for the extraction of actionable insights for arbitrage and market trends without requiring advanced technical knowledge.
• Enhanced Risk Management Tools: The platform provides mechanisms to build advanced risk-management agents. For example, a user can set up an agent such as “If Coinbase becomes the #1 application on the app store, sell all of my crypto assets.”
• Real-Time Alerts and Predictions: SuperSight plans to introduce capabilities for real-time alerts and predictive analytics designed to provide users with forward-looking insights that can inform smarter, more timely trading decisions in the volatile crypto market.
• Autonomous Execution Agents (AEAs): Integral to SuperSight’s offerings are the Autonomous Execution Agents, which autonomously execute trading strategies based on real-time data and predefined user parameters. These agents streamline the trading process, reducing the need for continuous manual oversight and enhancing operational efficiency.

Benefits Supersight Offers to Companies:

• Streamlined Operational Efficiency: SuperSight’s platform reduces the overhead associated with complex data operations, allowing companies to significantly cut the time and expenses traditionally invested in data management and analysis.
• Advanced Market Intelligence: Leveraging bespoke large language models optimized for crypto, SuperSight equips companies with the capability to parse vast amounts of market data effectively.
• Proactive Trend Analysis and Competitive Benchmarking: Companies can proactively detect and act on emerging market trends and shifts in consumer behavior. This capability helps maintain a competitive edge but also assists in anticipating market movements, enabling companies to position themselves strategically at the forefront of industry developments.
• Risk Assessment and Mitigation: Companies can use Autonomous Execution Agents (AEAs) to identify and mitigate financial and operational risks associated with transactions and portfolio management. For example, NFT funds can set up agents such as “If wash trading percentage in this collection crosses a threshold, sell the NFT.”

AI x Crypto Market Landscape

The AI x Crypto sector has grown remarkably, underscored by significant funding and performance metrics. According to the Binance Research report, AI-related projects within the crypto space secured $298M in funding in 2023 alone, a figure that doubled the total funding from the previous seven years combined. This surge in funding reflects the sector’s expanding role and investor confidence.

AI-related tokens have shown exceptional performance. In 2023, the top five AI coins experienced gains ranging from 200% to 650%, dramatically outperforming major cryptocurrencies like BTC and ETH, which saw gains of 150% and 44%, respectively.

The growing interest in AI, evidenced by a 230% increase in AI’s share of US startup funding and its robust performance in the crypto sector, presents fertile ground for SuperSight’s continued innovation and market penetration. With its cutting-edge technology and user-centric approach, SuperSight is well-placed to expand its user base and significantly influence the broader AI x Crypto market.

The Team behind SuperSight

SuperSight’s core team comprises alumni from Imperial College London, BITS Pilani, UBS, Fidelity International, and Deloitte UK, with extensive experience in AI, blockchain, fintech, and consulting. Co-founder Sungjung Kim, honored as an Exceptional Talent by Tech Nation UK, has spearheaded blockchain initiatives at Fidelity and enhanced big data analytics at UBS, featuring her work in major publications like Nasdaq TradeTalks. Co-founder Advait Jayant is a computer scientist with over 50 AI publications and has lectured on crypto portfolio management at UCL.

Concluding Thoughts

SuperSight’s integration of natural language processing with blockchain streamlines complex data interactions and democratically opens up the blockchain’s vast capabilities to a broader user base. This platform eradicates the steep learning curve traditionally associated with blockchain interactions, enabling seasoned traders and novices to build Autonomous Execution Agents powered by deep insights.

References

This is a repost of Pione3rs — Issue #14 written by Aly Madhavji on Medium on July 22, 2024.