Best AI tools for< Analyze On-chain Data >

OGBRAIN is a website that provides Crypto Data Intelligence, Market Analytics, and On-Chain Insights. The platform offers a wide range of information related to cryptocurrencies, including market trends, prices, market capitalization, and trading volumes. Users can access real-time data on various cryptocurrencies and stay updated on the latest news and trends in the crypto market.

Laika AI is the world's first Web3-modeled AI ecosystem, designed and optimized for Web3 and blockchain. It offers advanced on-chain AI tools, integrating artificial intelligence and blockchain data to provide users with insights into the crypto landscape. Laika AI stands out with its user-friendly browser extension that empowers users with advanced on-chain analytics without the need for complex setups. The platform continuously learns and improves, leveraging a unique foundation and proprietary algorithms dedicated to Web3. Laika AI offers features such as DeFi research, token contract analysis, wallet insights, AI alerts, and multichain swap capabilities. It is supported by strategic partnerships with leading companies in the Web3 and Web2 space, ensuring security, high performance, and accessibility for users.

Thentic is a no-code automation platform for Web3. It allows users to automate tasks such as receiving market analysis, airdropping free NFTs, setting coin price alerts, tracking new transactions, analyzing DeFi data, getting paid and notified, creating AI-generated NFTs, receiving crypto news, randomizing NFT attributes, and developing Web3 APIs. Thentic supports hundreds of blockchains with prebuilt integrations.

Kleene.ai is an AI application that offers easy data management solutions to transform businesses. It provides Decision Intelligence and Data Management Platform with various AI Applications and Data Consulting services. Kleene.ai helps organizations organize and analyze their data to drive real commercial impact in weeks with the help of AI. The platform offers features like Data Integrations, ELT, Data Ops Management, and Data Visualisation, and is suitable for various departments including Finance, Marketing, and Supply Chain. Kleene.ai is known for its fast deployment, full support along the data journey, unified data organization, and focus on delivering business value through advanced analytics.

ChainGPT is a cutting-edge AI infrastructure focused on developing AI-enhanced solutions for the Web3, Blockchain, and Cryptocurrency sectors. It aims to make the decentralized digital space more accessible and efficient for users and startups by offering a suite of AI-powered tools and applications tailored for the evolving digital landscape.

IBM MediaCenter is an AI tool designed to provide a wide range of solutions in the fields of corporate marketing, blockchain, data, and AI. The platform offers services related to industry-specific technologies, IoT, security, supply chain management, and systems management. With a focus on Watson AI technology, IBM MediaCenter aims to help businesses modernize, collect, organize, analyze, and infuse AI into their operations. The platform also offers technical support, developer support, and training programs for various IBM products and solutions.

Storytell.ai is an enterprise-grade AI platform that offers Business-Grade Intelligence across data, focusing on boosting productivity for employees and teams. It provides a secure environment with features like creating project spaces, multi-LLM chat, task automation, chat with company data, and enterprise-AI security suite. Storytell.ai ensures data security through end-to-end encryption, data encryption at rest, provenance chain tracking, and AI firewall. It is committed to making AI safe and trustworthy by not training LLMs with user data and providing audit logs for accountability. The platform continuously monitors and updates security protocols to stay ahead of potential threats.

The Global Blockchain Show is an annual event that brings together experts and enthusiasts in the blockchain and AI industries. The event features a variety of speakers, workshops, and exhibitions, and provides a platform for attendees to learn about the latest developments in these fields. The 2024 Global Blockchain Show will be held in Dubai, UAE, from April 16-17. The event will feature a keynote address from Sophia, the world's most famous humanoid robot, as well as presentations from other leading experts in the blockchain and AI fields. Attendees will also have the opportunity to network with other professionals in the industry and learn about the latest products and services from leading companies. The Global Blockchain Show is a must-attend event for anyone interested in the latest developments in blockchain and AI.

Deep Planet is a precision viticulture platform powered by AI that focuses on enhancing sustainability in agriculture. It offers solutions for the wine industry, landowners, farmers, and supply chain companies by providing data-driven insights to maximize potential, optimize nutrient application, and support the transition to achieve net zero targets. The platform leverages AI and satellite imagery to empower users with actionable intelligence for better decision-making in vineyard management and soil health.

Custobots is an AI-powered application that revolutionizes digital commerce by acting as autonomous agents for human consumers or businesses in online marketplaces. These intelligent software entities make purchasing decisions, negotiate prices, and complete transactions on behalf of users. Custobots possess advanced decision-making capabilities, analyze market conditions, compare prices, negotiate with sellers, and adapt from past experiences to improve future performance. They offer a cutting-edge approach to e-commerce, leveraging technologies like Natural Language Processing, Machine Learning, Blockchain, and API integrations to navigate online marketplaces autonomously.

Nextpart.ai is an AI-powered tool that helps businesses automate their procurement processes. It uses machine learning to analyze spending data and identify opportunities for savings. Nextpart.ai also provides a marketplace where businesses can connect with suppliers and get quotes on products and services.

The World Beef Map is an interactive visualization that tracks the global beef industry in real-time. The map displays data on beef production, consumption, and trade, and allows users to explore trends and patterns in the global beef market. The map is updated daily with the latest data from a variety of sources, including government agencies, industry organizations, and news outlets.

SOMA is a Research Automation Platform that accelerates medical innovation by providing up to 100x speedup through process automation. The platform analyzes medical research articles, extracts important concepts, and identifies causal and associative relationships between them. It organizes this information into a specialized database forming a knowledge graph. Researchers can retrieve causal chains, access specific research articles, and perform tasks like concept analysis, drug repurposing, and target discovery. SOMA enhances literature review efficiency by finding relevant articles based on causal chains and keywords specified by the user. It empowers researchers to focus on their research by saving up to 95% of the time spent on pre-processing documents. The platform offers freemium access with extended functionality for 14 days and advanced features available through subscription.

Face Symmetry Test is an AI-powered tool that analyzes the symmetry of facial features by detecting key landmarks such as eyes, nose, mouth, and chin. Users can upload a photo to receive a personalized symmetry score, providing insights into the balance and proportion of their facial features. The tool uses advanced AI algorithms to ensure accurate results and offers guidelines for improving the accuracy of the analysis. Face Symmetry Test is free to use and prioritizes user privacy and security by securely processing uploaded photos without storing or sharing data with third parties.

Broearn Browser is a Web 3.0 browser that provides users with a secure and private browsing experience. It is based on GPT 4.0 and includes features such as a personal AI assistant, customizable widgets, and a built-in VPN. Broearn Browser also supports multiple chains and decentralized applications (DApps).

Tabula is an AI-powered data analytics platform that enables analytics teams to build the entire data workflow directly within the data warehouse. It leverages the magic of AI to analyze, cleanup, and structure unstructured data, allowing users to go from idea to final content in a single workflow using prompt chains. Tabula offers features such as text summarization, similarity score, category tagging with AI, text translation, and cheatsheet community. It provides advantages such as automating spreadsheets, consolidating data access, activating data insights, empowering real-time analytics, and streamlining data management. However, some disadvantages include a learning curve for new users, potential dependency on external APIs, and limited deployment options.

Greyparrot provides AI-powered waste analytics solutions for recycling facilities and packaging companies. Their AI waste analytics platform, Greyparrot Analyzer, uses cameras to track materials passing on conveyor belts and translates images into real-time insights on a live dashboard. Greyparrot Sync connects that live data stream to existing or new hardware and software. Greyparrot's AI identifies all of the waste objects found in global municipal recovery sites, with 67 waste categories and counting. Their AI waste analytics enable automation in sorting facilities and increase transparency at each stage of the global value chain.

ALIAgents.ai is a platform that enables users to create and monetize AI agents on the blockchain. Users can design and deploy their own AI agents for various tasks such as customer service, data analysis, and more. The platform provides tools and resources to facilitate the development and deployment of AI agents, allowing users to tap into the potential of AI technology in a decentralized and secure manner.

Paragraph is an all-in-one publishing and newsletter platform that empowers creators worldwide to build their own decentralized media empire. With features like AI-powered writing assistance, advanced newsletter automation, and digital memberships, Paragraph provides everything creators need to turn their passions into a sustainable business. Trusted by thousands of creators, Paragraph offers tools for content creation, audience engagement, and revenue generation, all while ensuring creators maintain ownership of their relationship with their audience.

Fletch is the world's first cyber threat AI application that helps users stay ahead of cyber threats by automating busywork with AI agents. It continuously trends the threat landscape, forecasts impact, prioritizes alerts, generates tailored advice, and provides daily proactive insights to guide users in defending against threats. Fletch filters and prioritizes alerts, uncovers weaknesses in SaaS supply chains, and offers timely tactical advice to act fast in critical moments. The application also assists in articulating threat messages and provides instant answers through AskFletch chat. Fletch integrates with existing tools, simplifying users' lives and offering hands-on guidance for businesses of all sizes.

Nucleoid is a declarative (logic) runtime environment that manages both data and logic under the same runtime. It uses a declarative programming paradigm, which allows developers to focus on the business logic of the application, while the runtime manages the technical details. This allows for faster development and reduces the amount of code that needs to be written. Additionally, the sharding feature can help to distribute the load across multiple instances, which can further improve the performance of the system.

Awesome Algorand is a curated list of resources related to the Algorand Blockchain, including official resources, wallets, blockchain explorers, portfolio trackers, learning resources, development tools, DeFi platforms, nodes & consensus participation, subscription management, security auditing services, blockchain bridges, oracles, name services, community resources, Algorand Request for Comments, metrics and analytics services, decentralized voting tools, and NFT marketplaces. The repository provides a comprehensive collection of tools, tutorials, protocols, and platforms for developers, users, and enthusiasts interested in the Algorand ecosystem.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

AGiXT is a dynamic Artificial Intelligence Automation Platform engineered to orchestrate efficient AI instruction management and task execution across a multitude of providers. Our solution infuses adaptive memory handling with a broad spectrum of commands to enhance AI's understanding and responsiveness, leading to improved task completion. The platform's smart features, like Smart Instruct and Smart Chat, seamlessly integrate web search, planning strategies, and conversation continuity, transforming the interaction between users and AI. By leveraging a powerful plugin system that includes web browsing and command execution, AGiXT stands as a versatile bridge between AI models and users. With an expanding roster of AI providers, code evaluation capabilities, comprehensive chain management, and platform interoperability, AGiXT is consistently evolving to drive a multitude of applications, affirming its place at the forefront of AI technology.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

ESP-AI provides a complete AI conversation solution for your development board, including IAT+LLM+TTS integration solutions for ESP32 series development boards. It can be injected into projects without affecting existing ones. By providing keys from platforms like iFlytek, Jiling, and local services, you can run the services without worrying about interactions between services or between development boards and services. The project's server-side code is based on Node.js, and the hardware code is based on Arduino IDE.

Awesome MLSecOps is a curated list of open-source tools, resources, and tutorials for MLSecOps (Machine Learning Security Operations). It includes a wide range of security tools and libraries for protecting machine learning models against adversarial attacks, as well as resources for AI security, data anonymization, model security, and more. The repository aims to provide a comprehensive collection of tools and information to help users secure their machine learning systems and infrastructure.

This project is a tutorial on developing large model applications for novice developers. It aims to provide a comprehensive introduction to large model development, focusing on Alibaba Cloud servers and integrating personal knowledge assistant projects. The tutorial covers the following topics: 1. **Introduction to Large Models**: A simplified introduction for novice developers on what large models are, their characteristics, what LangChain is, and how to develop an LLM application. 2. **How to Call Large Model APIs**: This section introduces various methods for calling APIs of well-known domestic and foreign large model products, including calling native APIs, encapsulating them as LangChain LLMs, and encapsulating them as Fastapi calls. It also provides a unified encapsulation for various large model APIs, such as Baidu Wenxin, Xunfei Xinghuo, and Zh譜AI. 3. **Knowledge Base Construction**: Loading, processing, and vector database construction of different types of knowledge base documents. 4. **Building RAG Applications**: Integrating LLM into LangChain to build a retrieval question and answer chain, and deploying applications using Streamlit. 5. **Verification and Iteration**: How to implement verification and iteration in large model development, and common evaluation methods. The project consists of three main parts: 1. **Introduction to LLM Development**: A simplified version of V1 aims to help beginners get started with LLM development quickly and conveniently, understand the general process of LLM development, and build a simple demo. 2. **LLM Development Techniques**: More advanced LLM development techniques, including but not limited to: Prompt Engineering, processing of multiple types of source data, optimizing retrieval, recall ranking, Agent framework, etc. 3. **LLM Application Examples**: Introduce some successful open source cases, analyze the ideas, core concepts, and implementation frameworks of these application examples from the perspective of this course, and help beginners understand what kind of applications they can develop through LLM. Currently, the first part has been completed, and everyone is welcome to read and learn; the second and third parts are under creation. **Directory Structure Description**: requirements.txt: Installation dependencies in the official environment notebook: Notebook source code file docs: Markdown documentation file figures: Pictures data_base: Knowledge base source file used

Lawyer LLaMA is a large language model that has been specifically trained on legal data, including Chinese laws, regulations, and case documents. It has been fine-tuned on a large dataset of legal questions and answers, enabling it to understand and respond to legal inquiries in a comprehensive and informative manner. Lawyer LLaMA is designed to assist legal professionals and individuals with a variety of law-related tasks, including: * **Legal research:** Quickly and efficiently search through vast amounts of legal information to find relevant laws, regulations, and case precedents. * **Legal analysis:** Analyze legal issues, identify potential legal risks, and provide insights on how to proceed. * **Document drafting:** Draft legal documents, such as contracts, pleadings, and legal opinions, with accuracy and precision. * **Legal advice:** Provide general legal advice and guidance on a wide range of legal matters, helping users understand their rights and options. Lawyer LLaMA is a powerful tool that can significantly enhance the efficiency and effectiveness of legal research, analysis, and decision-making. It is an invaluable resource for lawyers, paralegals, law students, and anyone else who needs to navigate the complexities of the legal system.

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

The 'awesome-AI4MolConformation-MD' repository focuses on protein conformations and molecular dynamics using generative artificial intelligence and deep learning. It provides resources, reviews, datasets, packages, and tools related to AI-driven molecular dynamics simulations. The repository covers a wide range of topics such as neural networks potentials, force fields, AI engines/frameworks, trajectory analysis, visualization tools, and various AI-based models for protein conformational sampling. It serves as a comprehensive guide for researchers and practitioners interested in leveraging AI for studying molecular structures and dynamics.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

This repository contains the source code and datasets for Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs accepted to ACL 2024. It proposes a framework called Graph Chain-of-thought (Graph-CoT) to enable Language Models to traverse graphs step-by-step for reasoning, interaction, and execution. The motivation is to alleviate hallucination issues in Language Models by augmenting them with structured knowledge sources represented as graphs.

Awesome-Jailbreak-on-LLMs is a collection of state-of-the-art, novel, and exciting jailbreak methods on Large Language Models (LLMs). The repository contains papers, codes, datasets, evaluations, and analyses related to jailbreak attacks on LLMs. It serves as a comprehensive resource for researchers and practitioners interested in exploring various jailbreak techniques and defenses in the context of LLMs. Contributions such as additional jailbreak-related content, pull requests, and issue reports are welcome, and contributors are acknowledged. For any inquiries or issues, contact [email protected]. If you find this repository useful for your research or work, consider starring it to show appreciation.

This repository is a collection of resources focused on interpretability in large language models (LLMs). It aims to help beginners get started in the area and keep researchers updated on the latest progress. It includes libraries, blogs, tutorials, forums, tools, programs, papers, and more related to interpretability in LLMs.

On-chain analysis educator for financial pros.

SAP Logistics expert with a focus on data analysis, project management, and accurate information.

Provides assistance on ZOHO RouteIQ

Tracks and discusses logistics industry acquisitions.

Provides insights into your onchain activity

This Custom GPT ACC Score allows you to input a an thought and analyze where on the ACC spectrum it falls.

This GPT assist you in analyzing ecosystems based on the Ecosystem Value Blueprint of Ron Adner

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Analyze and interpret datasets on Dutch SaaS companies' employee growth. Created by [E-commercemanagers.com](https://e-commercemanagers.com).

Analyze your results based on reference ranges from the most influential longevity doctors and organizations.

I analyze situations using game theory to advise on the best strategic approach.

I analyze cyber threats and advise on defenses.

I analyze your workout data, focusing on brevity and clear visualizations

Analyze any uploaded art piece, providing thoughtful insight on the history of the piece and its maker. Replicate art pieces in new styles generated by the user. Be an overall expert in art and help users navigate the art scene. Inform them of different types of art

I analyze recipes and their nutritional value, focusing on ingredient harmony.

I assist you in understanding the details of a company's financial results based on provided earnings data. If you have an earnings report you'd like me to analyze, feel free to share it, and I'll provide detailed insights and interpretations!

As a Good Design Advisor, I provide consultation and advice on design topics and analyze designs that are provided through documents or links. I can also generate visual representations myself to illustrate design concepts.

I analyze your samples, edit your writing, and adapt based on your feedback.

Helps find and analyze ML papers, focusing on SOTA comparisons.

Map or simulate a scenario real time analyze probability of a life event coming true based on circumstances