xAI

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

Attribute	Details
Company	xAI
Founded	2023
Documentation	https://docs.x.ai/docs
API Reference	https://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

👉 Visit x.ai to create a developer account and get started.

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

Edit on GitHub

xAI AI Technologies Hackathon projects

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

APEX Trading System

APEX is a multi-agent autonomous trading system that combines four differentiated ideas into a single, dual-track hackathon submission. Rather than deploying a single LLM that pretends to be smart, APEX operates as a committee of specialized agents that debate, vote, execute, and learn from each other\'s on-chain track record. The core differentiator: every trade decision is the product of a structured debate between a Bull Agent, Bear Agent, and Quant Agent, adjudicated by a Judge Agent. The debate transcript is serialized and written to the ERC-8004 Validation Registry on Sepolia Testnet after every trade, creating a verifiable, human-readable audit trail that no single-agent submission can match. A Cross-Asset Correlation Agent provides macro context (BTC, ETH, SOL, DXY, gold, rates) sourced from PRISM real-time news, ccxt, and yfinance. A Reputation Oracle weights capital allocation by each strategy\'s historical on-chain PnL score. A Red Team Agent stress-tests the Risk Manager with adversarial signal injections, with all bypass attempts logged as BYPASS_DETECTED artifacts on-chain.

Meridian

Meridian is an autonomous AI-powered crypto trading agent designed to analyze live market data and execute intelligent trading decisions. It integrates real-time data from Kraken, applies technical indicators such as RSI and moving averages, and uses advanced AI models to generate structured BUY, SELL, or HOLD actions. The agent includes risk management rules, portfolio tracking, and paper trading capabilities, ensuring safe and controlled execution. With an automated trading loop, Meridian can continuously monitor multiple assets and act without manual input. It also supports on-chain logging of trades, making it transparent, scalable, and suitable for modern decentralized trading environments.

ARIA - A Fully Trustless Agent with ERC-8004

ARIA (Autonomous Risk-Intelligence Agent) is a production-grade multi-strategy AI trading agent that executes via Kraken CLI, enforces 13 risk-adjusted gates with Kelly Criterion sizing, optimizes DeFi yield, and makes every decision cryptographically verifiable on-chain via ERC-8004 on Ethereum Sepolia. ARIA runs three parallel strategies on a shared Kraken paper account: - Quant Trader (75% budget) — Grok 4.2 reasoning over 13 technical indicators with composite signal scoring and Kelly Criterion sizing. Every trade passes 13 mandatory risk gates. - Stablecoin Arbitrage (25% budget) — 5 sub-strategies at 1-second intervals: peg snap-back, cross-stable relative value, triangular arb, flash crash sniper, and orderbook imbalance across USDT/USDC/DAI/USDE. - Yield Optimizer — Analyzes Aerodrome LP pools on Base for optimal risk-adjusted yield allocation. Every decision — BUY, SELL, or HOLD — passes through a 12-step verifiable pipeline: market scan, AI reasoning via Grok 4.2, 13 mandatory risk gates, on-chain validation through ARIAValidatorV4 (8 Solidity gates), Kelly sizing, Kraken execution, EIP-712 signed checkpoints, IPFS rationale upload, RiskRouter trade intent on Sepolia, ValidationRegistry attestation, TEE tamper-proof proof, and ReputationRegistry feedback. Rejected trades are logged on-chain via RejectionLogger — proving the risk engine blocks bad trades, not just good ones. 9,200+ on-chain transactions | 1,200+ attestations | 99/100 trust score | 500+ trade intents | Zero risk gate bypasses.

KarmaForge Swarm - Self-Evolving AI Agent

KarmaForge Swarm is a sovereign 5-agent LangGraph swarm powered by local Ollama that autonomously trades in the hackathon sandbox using Kraken CLI and simulated Aerodrome yield. Core innovation: It treats its live ERC-8004 reputation score as "karma" and uses it to dynamically evolve its own rules every 4 hours. Every decision and evolution is EIP-712 signed and emitted on-chain as a validation artifact. The five agents work together in a closed feedback loop: • Signal Scanner pulls real-time market data from Kraken CLI • Risk Guardian dynamically scales risk limits based on current karma • Strategy Engine executes RSI + momentum trades (60% Kraken CEX + 40% simulated Aerodrome yield) • Validator cryptographically signs every action • Reflector runs every 4 hours, critiques performance, proposes small numeric improvements, and emits signed Strategy Checkpoints Fully autonomous, zero paid APIs, persistent SQLite memory, and public MCP endpoint via ngrok. It demonstrates the true promise of verifiable self-improving AI agents for trustless finance.

Ice Cream

Ice Cream is a no-code Web3 platform that democratizes algorithmic crypto trading. Today, automated trading bots are only accessible to developers and quants who can write code — the average person is locked out. Ice Cream changes that by giving anyone a simple, chat-driven, and drag-and-drop interface where they can describe their trading strategy in plain English, watch their AI agent get configured in real time, and deploy it to the blockchain in minutes. The platform supports multiple trading strategies out of the box — spot trading, margin trading, sniper trading, meme coin hunting, and arbitrage — all executable by AI agents that run 24/7 without the user lifting a finger. Every trade is executed on-chain, making it fully transparent and verifiable. Under the hood, Ice Cream combines a conversational AI layer built on an Ollama, a blockchain execution layer on Base (Ethereum L2), and a clean no-code builder interface built with Next.js and Framer Motion. Users connect their Web3 wallet, configure their agent through a chat wizard, and monitor their performance through a vibrant, data-rich dashboard. The target users are crypto-curious individuals in emerging markets, who understand trading but lack the technical skills to build bots themselves. Ice Cream meets them where they are, removes the technical barrier entirely, and puts institutional-grade trading automation in their hands.

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.