Agihalo serves as an LLM router specifically designed for AI agents and AI SaaS applications. Its main purpose is to enable decentralized agent organizations by decentralizing the payment dependency of LLM models, allowing AI agents to break free from human fiat payment systems.

The product offers several key features including 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. It provides autonomous API management layer for AI agents with cost governance capabilities.

Agihalo works by integrating the HALO router to allow AI agents to autonomously handle LLM payments on the X402 rail. The system utilizes the 402 (Payment Required) protocol, enabling AI agents to monitor their own balances and recharge credits independently. Integration requires minimal code changes - users simply update their baseURL to Halo without complex refactoring.

The benefits include enabling true agent autonomy with 24/7 uninterrupted operation, precise cost control at the agent level, and reduced manual tasks with AI-driven workflows. Use cases involve building AI agents and AI SaaS applications that require decentralized payment systems and autonomous operation.

The target users are developers building AI agents and AI SaaS applications. The platform integrates with Gemini models and supports USDC payments on X402 rails. Technical details include support for autonomous payment handling and real-time micro-payments based on actual usage.