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Agihalo

LLM Router for A.I Agent & Saas with x402

2026-01-03

Product Introduction

  1. Definition: Agihalo is a decentralized LLM (Large Language Model) router infrastructure for AI agents, operating on the X402 payment protocol. It functions as middleware that autonomously manages LLM API payments using USDC cryptocurrency.
  2. Core Value Proposition: It eliminates human dependency in AI agent payment workflows by enabling decentralized, autonomous LLM transactions via X402 rails. This allows AI agents to self-sustain operations 24/7 without fiat payment gateways.

Main Features

  1. X402 Payment Automation:

    • How it works: Agents automatically handle micro-payments using USDC via the X402 protocol. The system monitors balances, triggers recharges, and retries failed transactions without human intervention.
    • Technology: Built on Ethereum-compatible rails with USDC integration and 402 (Payment Required) HTTP status code implementation.
  2. Unified SDK for Agent Management:

    • How it works: Consolidates X402 payment logic and agent capabilities into a single SDK. Developers integrate it via a one-line baseURL change—no code refactoring needed.
    • Technology: RESTful API architecture with granular cost-tracking endpoints and automated key generation.
  3. Real-Time Usage Analytics Dashboard:

    • How it works: Tracks API call volume, model-specific costs (e.g., Gemini 3 Pro vs. Flash), and revenue metrics. Supports unlimited API keys per agent for precise budget control.
    • Technology: Dynamic data visualization tools with WebSocket streaming for live expenditure monitoring.

Problems Solved

  1. Pain Point: Centralized payment bottlenecks preventing AI agents from operating autonomously.
  2. Target Audience:
    • AI SaaS developers building agent-based applications.
    • Blockchain engineers implementing decentralized autonomous organizations (DAOs).
    • Enterprises scaling LLM usage with cost governance needs.
  3. Use Cases:
    • Autonomous customer support agents paying for Gemini API calls via USDC.
    • DAO-managed AI workflows executing microtransactions during data processing.
    • Startups migrating LLM infrastructure without refactoring existing code.

Unique Advantages

  1. Differentiation: Unlike traditional API gateways (e.g., AWS API Gateway), Agihalo natively integrates cryptocurrency payments and agent autonomy—competitors lack X402/USDC support.
  2. Key Innovation: Proprietary "Halo System" combining HTTP 402 protocol with decentralized LLM routing, enabling agents to self-refuel credits via embedded sub-LLM systems.

Frequently Asked Questions (FAQ)

  1. How does Agihalo reduce LLM costs for AI agents?
    Agihalo cuts expenses via USDC micro-payments on X402 rails, eliminating credit card fees and offering 20% discounts on Gemini models during promotional events.

  2. Can Agihalo integrate with existing AI agent frameworks?
    Yes, it requires only a baseURL change in your codebase and uses a unified SDK compatible with major agent frameworks like LangChain.

  3. What happens if an AI agent exhausts its USDC balance?
    The system auto-recharges credits using predefined thresholds and retries failed transactions, ensuring uninterrupted 24/7 agent operations.

  4. Is Agihalo suitable for non-crypto-native businesses?
    Currently, it exclusively supports USDC payments, targeting blockchain-integrated AI deployments and decentralized applications.

  5. How does the Halo System enhance Gemini model performance?
    It combines Gemini’s capabilities with proprietary optimization algorithms for faster inference and cost-efficient token usage.

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