luxxon

Request live video or JPEG frames from geographic coordinates via WebRTC.

Updated May 13, 2026
One-click install
npx skills add https://github.com/luxxon-dev/luxxon-docs --skill luxxon
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: luxxon
Source: https://github.com/luxxon-dev/luxxon-docs/tree/main
Command: npx skills add https://github.com/luxxon-dev/luxxon-docs --skill luxxon

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @luxxon/sdk, @luxxon/mcp, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Luxxon solves the challenge of providing AI agents with verifiable, real-time visual evidence of physical locations, eliminating reliance on cached or generated imagery.

Core Features & Use Cases

  • Real-time Observation: Request live video or JPEG snapshots from specific geographic coordinates.
  • On-chain Settlement: Automated, per-second billing in USDC on the Base network with no manual signatures required per session.
  • Use Case: An AI agent tasked with property inspection can request a live frame of a specific address to verify equipment status or site conditions, with costs settled automatically from a pre-funded pool.

Quick Start

Use the luxxon skill to request a live frame from the location at latitude 3.346 and longitude -76.522 for a duration of 30 seconds.

Frequently Asked Questions about luxxon

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get live video feeds for AI agents from specific geographic coordinates?

To get live video feeds for AI agents, you request WebRTC streaming or single-frame JPEG observations from specific geographic coordinates using the API. This provides verifiable physical-reality visual evidence directly to your agent.

How does on-chain USDC settlement work for automated agent video sessions?

On-chain USDC settlement for automated agent video sessions uses the Base network to handle per-second billing directly from a pre-funded pool. This eliminates the need for manual transaction signatures during each live observation request.

What is the best way to verify physical site conditions with an AI agent without cached imagery?

Verifying physical site conditions with an AI agent without cached imagery is best done by requesting on-demand live video frames or JPEG snapshots from the target location. This ensures visual evidence is current and verifiable.

Can I use WebRTC streaming and Base network settlement together for property inspection tasks?

Yes, you can use WebRTC streaming and Base network USDC settlement together for property inspection tasks. The API provides the live video feed while automatically handling per-second billing costs on the Base network.

Do I need a pre-funded USDC pool to request live JPEG observations from specific coordinates?

Yes, you need a pre-funded USDC pool on the Base network to request live JPEG observations from specific coordinates. The automated on-chain settlement system deducts per-second billing costs from this pool during your AI agent's session.