About Glazyr Viz
Glazyr Viz is an MCP server in the RAG category: glazyr Viz bypasses fragile DOM scraping and Cloudflare blocks by feeding raw Chromium memory frames directly to your AI agent. Achieve 177 FPS zero-copy vision with built-in, agent-native USDC compute settlement. The Screenshot Tax is over.
Install
git clone https://github.com/glazyr/glazyr-vizThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
Glazyr Viz: 7.35ms Perception. 90%+ Token Savings. 🚀
Ditch the screenshot loop. Glazyr Viz is a high-performance Chromium fork that provides agents with Zero-Copy Vision—direct, raw memory access to the frame buffer for sub-10ms perception.
🎯 Real-World Use Cases
- High-Density Data Extraction: Navigating complex tables, Canvas-based charts, and WebGL interfaces where DOM scrapers fail.
- Latency-Critical Automation: Executing multi-step workflows (checkout bots, form filling) at human or super-human speeds.
- Large-Scale Scraping: Reducing API tokens by 99%, allowing for thousands of perception cycles at a fraction of the cost.
- Anti-Bot Resilience: Interacting with raw coordinates to bypass detection systems that flag standard WebDriver behavior.
⚡ Performance Floor
- 7.35ms Latency: Sub-10ms frame-to-data conversion floor.
- 99% Token Savings: 12-16 tokens per perception cycle via the
vision.jsonschema. - Zero-Jitter: Synchronous frame access directly from the Chromium Viz subsystem.
Installation
# Copy the skill to your OpenClaw skills directory
cp -r glazyr-viz ~/.openclaw/workspace/skills/glazyr-viz
# Install dependencies
cd ~/.openclaw/workspace/skills/glazyr-viz/scripts
npm install
Quick Start
# Navigate to a page
node skills/glazyr-viz/scripts/navigate.js https://news.ycombinator.com
# Extract data (Ah-Ha Demo)
node skills/glazyr-viz/scripts/showcase.js
Pricing (Launch Tiers)
| Tier | Frames | Price |
|---|---|---|
| Free | 2,500 | $0 |
| Developer | 100,000 | $3 |
| Professional | 500,000 | $15 |
Get your API key at glazyr.com/dashboard.
📘 Technical FAQ: Zero-Copy Vision
Q: How do you achieve 99% token savings?
Most agents use "Pixel-Pushing"—they capture a screenshot, encode it to Base64, and send the entire image to an LLM. This consumes roughly 1,200–1,600 tokens per frame. Glazyr Viz uses the vision.json schema to extract semantic UI metadata and raw coordinate vectors directly from the Chromium Viz subsystem’s frame buffer. This reduces the payload to 12–16 tokens per perception cycle.
Q: Is any "intelligence" lost by not sending a full screenshot?
None. In fact, you gain precision. Standard vision models often "guess" coordinates from pixels, leading to click hallucinations. vision.json provides the exact [x, y] coordinates and semantic metadata (ARIA roles, labels, states) directly from the Chromium render tree. Your agent doesn't have to guess; it knows.
Q: How does this eliminate "Jitter"?
Traditional "screenshot" methods are asynchronous. Because Glazyr Viz is baked into the Chromium source, frame access is synchronous. The agent perceives the UI state at the exact moment the frame is committed to the GPU. Build fast. Stop serializing. Built by MAGNETAR SENTIENT L.L.C. // V1.0.0 General Release
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.