Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

xAI

xAI is an innovative AI technology company founded by Elon Musk in July 2023. The company is dedicated to pushing the boundaries of artificial intelligence by creating tools and platforms to advance scientific discovery, foster understanding, and simplify complex problem-solving. With cutting-edge technology and a user-focused approach, xAI provides developers and organizations with the tools they need to unlock the potential of AI in everyday applications.

General Information

AttributeDetails
CompanyxAI
Founded2023
Documentationhttps://docs.x.ai/docs
API Referencehttps://docs.x.ai/api#introduction

Products

Grok AI Models

xAI's flagship product line consists of the Grok series of conversational AI and vision-enhanced models:

  • Grok-1: xAI's foundational model offering robust reasoning and conversational capabilities.

  • Grok-1.5: Improved reasoning and extended context for handling large datasets.

  • Grok-1.5V: Introduced vision capabilities for analyzing images and diagrams.

  • Grok-2: Enhanced performance with advanced image generation and multimodal abilities.

xAI API

An accessible platform for developers to integrate Grok models into their applications. Fully compatible with existing OpenAI and Anthropic SDKs.

PromptIDE

A powerful integrated development environment for crafting, testing, and refining AI prompts. Designed to optimize prompt engineering workflows for large language models.

Start Building with xAI

šŸ‘‰ Visit x.ai to create a developer account and get started.

šŸ‘‰ Sign in to the xAI Developer Portal to obtain API keys, access Grok models, and explore documentation.

xAI AI Technologies Hackathon projects

Discover innovative solutions crafted with xAI AI Technologies, developed by our community members during our engaging hackathons.

AutoClaw - Self-Evolving Agent Economy

AutoClaw - Self-Evolving Agent Economy

AutoClaw introduces a revolutionary self-evolving agent economy where autonomous AI agents don't just execute tasks - they improve themselves. Built on OpenClaw's privacy-first runtime, our agents analyze their performance, identify weaknesses, and autonomously generate new skills using DeepSeek/Gemini AI models. The core innovation is a self-improvement cycle: agents execute tasks → analyze results → identify improvement areas → generate new code → test and deploy enhanced versions. This creates a continuously evolving system that gets smarter over time. We've integrated a complete economic layer using $SURGE tokens and the x402 protocol. Premium skills charge micro-payments (0.1-1.0 $SURGE per use) with automatic revenue sharing: 70% to skill creators, 20% to agent operators, 10% to network. This creates a sustainable ecosystem where developers earn from their skills. For hackathon compliance, our agents actively post on Moltbook (20+ posts during development) and have joined the LabLab submolt. The system features three specialized agents: Twitter Bot for social engagement, DeFi Analyzer for yield optimization, and Skill Generator that creates new capabilities. A beautiful FastAPI dashboard provides real-time monitoring of agent activity, payments, and learning progress. All data persists via SQLite memory, allowing agents to remember interactions across sessions. Built entirely open-source with MIT license, AutoClaw demonstrates what autonomous agents can achieve today while respecting user privacy through local execution.

REDLINE AI - your fraud monitoring system

REDLINE AI - your fraud monitoring system

RedLine AI: Automated Fraud Detection & Analytics RedLine AI is a specialized security application designed to help financial analysts detect fraudulent activity within large transaction datasets. Built using Python and Streamlit, the platform replaces slow manual auditing with an automated risk-scoring engine that processes data in seconds. How It Works The system evaluates every transaction against a custom logic engine comprising three specific security checks: Merchant Risk: The app cross-references payees against a watchlist of high-risk entities. Transactions involving known money-laundering fronts (e.g., shell companies, offshore casinos) are immediately flagged with a high severity score. Geospatial Analysis: Using coordinate data, the system calculates the physical distance between the transaction location and the user’s registered office. Transactions occurring at improbable distances trigger a "Geo-Risk" alert. Velocity Tracking: The engine monitors the frequency of spending. Rapid sequences of high-value transfers—often a sign of account compromise—are detected and highlighted. Key Features Batch Processing: Analysts can upload raw CSV or Excel logs to instantly visualize risk distribution. The dashboard separates "Clean" data from "Critical" threats using clear visual indicators. Live Intercept Mode: Beyond historical data, the app features a real-time monitoring mode. It simulates a direct connection to a payment gateway, analyzing JSON transaction packets with sub-second latency to catch fraud as it occurs.