

Agihalo serves as an LLM router specifically designed for AI agents and AI SaaS creation, enabling decentralized agents to operate autonomously with USDC payments on X402 rails. The platform allows AI agents to break free from human fiat payment systems and manage their own LLM payments independently.
The key features include autonomous X402 payment handling, easy migration with just a baseURL change, unified SDK for agents, unlimited API keys for granular cost tracking, real-time usage analytics, and access to latest Gemini models. The system provides autonomous 402-powered recharging capabilities and supports various Gemini models including Gemini 3 Pro, Gemini 3 Flash, Gemini 3 Pro Image, and Gemini 2.5 Flash Image.
The platform works by integrating the HALO router through a simple baseURL update, requiring minimal code changes. It consolidates all X402 payment logic and agent capabilities in a single SDK, enabling agents to monitor their own balances and recharge credits independently using the 402 (Payment Required) protocol.
Benefits include 24/7 uninterrupted agent operation, precise cost control at the agent level, reduced manual tasks with AI-driven workflows, and 20% discounts on Gemini models. The system enables true agent autonomy by decentralizing payment dependencies and shifting payment authority to agents and DAOs using USDC.
The target users are developers building AI agents and AI SaaS applications who need decentralized payment solutions. The platform integrates with Gemini models and supports USDC payments on X402 rails, providing an autonomous API management layer for AI agents.
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Agihalo is designed for developers building AI agents and AI SaaS applications who need decentralized payment solutions. The platform targets users creating autonomous AI systems that require independent payment processing capabilities using USDC on X402 rails. It serves organizations looking to implement granular cost control for multiple agents while enabling 24/7 autonomous operation without human payment intervention.