The Graph’s Builders Office Hours #69 features a deep dive into Loky with DappLooker.
TL;DR: Loky, an AI analytics agent from DappLooker, uses The Graph to deliver real-time blockchain insights in a witty, engaging way. It tracks token prices, wallet activity, and market trends across multiple chains, offering actionable signals via X and a web terminal. As AI in web3 evolves, Loky paves the way for smarter, more accessible blockchain analytics.
Artificial intelligence and blockchain are two transformative technologies shaping the future of web3. When these two merge, as seen in AI agents powered by The Graph, the result is a helpful system for analyzing and interacting with decentralized data.
Loky from DappLooker is one such tool that combines advanced AI capabilities with high-quality blockchain data from The Graph. But what makes this integration so powerful, and what can it teach us about the future of AI in blockchain?
In this blog post, we’ll explore Loky, its use of The Graph, and its place in the evolving ecosystem of AI agents in web3.
What is Loky?
Loky is an AI-driven analytics agent designed to simplify the complexities of web3 markets. Inspired by Marvel’s cunning and witty character Loky, this agent offers market insights, trends, and data-driven decisions in a playful and highly informative format. Built by the DappLooker team, Loky is not just a novelty tool—it’s designed to serve traders, investors, and builders navigating the rapidly changing blockchain landscape.
Core features of Loky
- Real-time market insights: Loky analyzes trends, token data, and trading activity across various ecosystems, providing users with actionable insights.
- Witty delivery: Loky’s personality is as important as its utility. It communicates insights with a playful, engaging tone, helping users stay informed while keeping things lighthearted.
- Accessibility through multiple platforms: Loky is available as an X-based AI agent and a web-based terminal (currently in beta), offering different access levels and functionality.
How Loky incorporates The Graph
The Graph is the backbone of many decentralized applications (dApps), indexing blockchain data and making it easily accessible. Loky leverages The Graph’s subgraphs and Substreams to pull real-time data across multiple chains and protocols. Here’s how this integration works:
Data aggregation
The Graph indexes blockchain data into subgraphs, which are open APIs for querying blockchain information. Loky taps into these subgraphs to:
- Track token price movements.
- Monitor wallet activity and smart money flows.
- Analyze trends across multiple chains, including Ethereum, Polygon, and BSC.
Enhanced AI training
AI models like Loky’s require large, high-quality datasets for effective training. The Graph provides this foundation by offering:
- Clean, structured, and reliable data from various blockchain protocols.
- Cross-chain insights that allow Loky to provide comprehensive market analysis.
Scalability and performance
Using The Graph, Loky can scale its analytics capabilities without sacrificing performance. This ensures that traders and investors receive timely, accurate insights, even as new protocols and chains are added to the ecosystem.
Loky’s terminal and beta launch
For advanced users, Loky offers a web-based terminal that provides:
- Deep analytics: Users can explore virtual ecosystems, meme tokens, and top-performing crypto markets in real time.
- Signal alerts: The terminal includes real-time price alerts and trading signals, empowering users to act quickly on market opportunities.
- Beta feedback integration: Early adopters have shaped Loky’s development by providing thousands of suggestions, resulting in a refined user experience.
To access the terminal, users need to hold Loky tokens, which control access during the beta phase. This token-based model ensures exclusivity while incentivizing participation in the Loky ecosystem.
The broader impact of AI agents on web3
Loky is part of a larger movement of AI agents transforming how we interact with decentralized systems. These agents combine AI’s analytical power with blockchain’s transparency to offer:
- Personalized insights: Tailored data based on user preferences.
- Autonomous actions: Future iterations of AI agents, like Loky, aim to execute on-chain actions autonomously, such as swapping tokens or reallocating portfolios.
- Improved accessibility: By simplifying complex blockchain data, AI agents make web3 more approachable for novices and experts.
Want to dig deeper? Watch the full BOH recording on The Graph YouTube Channel:
Wrapping up
Loky represents the next step in the evolution of blockchain analytics. By integrating with The Graph, it delivers real-time insights, personalized data, and a user-friendly interface that transforms how we approach trading and investing in web3. As AI agents evolve, they will play an even greater role in making decentralized systems more accessible, actionable, and intelligent.
If you’re curious to learn more, visit Loky’s website or follow their updates on X and Telegram. And don’t forget to check back as we explore other exciting AI projects in the web3 space.
No Comments