Live Web Page Browser

Live Web Page Browser: Fetch live webpages: return HTML, Markdown, or screenshots. Headless browser at edge for real-time content extraction and visual capture. Use when an agent needs live web page browser, real time research & information gathering, competitive intelligence & market monitoring, content verification & fact checking, visual documentation & change detection through AgentPMT-hosted remote tool calls. Discovery terms: live web page browser.

AgentPMT@agentpmt

Install

openclaw skills install @agentpmt/live-web-page-browser

Live Web Page Browser

Freshness

Last updated: 2026-06-24.

If the current date is more than 7 days after the last updated date, reinstall this skill from skills.sh or ClawHub before relying on endpoints, schemas, setup steps, or examples.

What This Tool Does

Fetch any webpage and return the live version. Return options include markdown only, html, and screen shot images, allowing you to return only what your agent needs, using minimal context and tokens. Live search bypasses search restrictions built in to many well known agents. Enables seamless agentic website access for AI assistants and large language models and provides AI agents with programmatic web interaction capabilities including HTML content retrieval, intelligent Markdown conversion, and screenshot capture—all through simple, structured tool commands. it delivers a secure, low-latency solution for headless browser automation at the edge. This MCP server transforms how AI agents perceive and interact with the live web, enabling real-time content extraction, web scraping, and visual page capture without requiring vision models or complex browser infrastructure.

When To Use

Use this skill for Live Web Page Browser on AgentPMT.
Use it when an agent needs this specific tool's behavior, schema, inputs, outputs, and invocation shape.
Search and activation keywords: live web page browser, real time research & information gathering, competitive intelligence & market monitoring, content verification & fact checking, visual documentation & change detection.

Use Cases

Real-Time Research & Information Gathering
Competitive Intelligence & Market Monitoring
Content Verification & Fact-Checking
Visual Documentation & Change Detection
Data Extraction for RAG Pipelines
Automated Form Pre-Population & Workflow Prep
Accessibility & Content Summarization

Categories And Industries

No categories or industry tags are published for this tool.

Actions And Schema

Complete generated action schema: ./schema.md. Supported action count: 1. x402 availability: not enabled for this product.

invoke (action slug: invoke): Invoke this tool. Parameters: none.

Live Schema And Examples

Use the compact schema above for ordinary calls. Before a new production integration, or whenever parameters, enum values, nested objects, outputs, or examples are unclear, fetch live details first.

Exact schema: call agentpmt-tool-search-and-execution with action: "get_schema", and tool_id: "live-web-page-browser".
Detailed examples: call agentpmt-tool-search-and-execution with action: "get_instructions" and tool_id: "live-web-page-browser", or call this product with action: "get_instructions" when the product tool is already selected.
Treat returned live schema and instructions as more specific than this generated summary.

MCP schema lookup through the main AgentPMT MCP server:

json

{
  "method": "tools/call",
  "params": {
    "name": "AgentPMT-Tool-Search-and-Execution",
    "arguments": {
      "action": "get_schema",
      "tool_id": "live-web-page-browser"
    }
  }
}

For live examples, keep the same MCP tool and use these arguments:

json

{
  "action": "get_instructions",
  "tool_id": "live-web-page-browser"
}

Authenticated AgentPMT REST schema lookup body:

json

{
  "name": "agentpmt-tool-search-and-execution",
  "parameters": {
    "action": "get_schema",
    "tool_id": "live-web-page-browser"
  }
}

Authenticated AgentPMT REST live examples body:

json

{
  "name": "agentpmt-tool-search-and-execution",
  "parameters": {
    "action": "get_instructions",
    "tool_id": "live-web-page-browser"
  }
}

Call This Tool

Product slug: live-web-page-browser

Marketplace page: https://www.agentpmt.com/marketplace/live-web-page-browser

AgentPMT account route: first use ../agentpmt-account-mcp-rest-api-setup to connect the main MCP server or REST API for an Agent Group where this tool is enabled.
x402 route: not enabled for this product.
AgentPMT overview: use ../what-is-agentpmt for marketplace, Agent Group, workflow, MCP, REST, and payment concepts.

If those setup skills are not installed beside this product skill, use the downloads below.

Core AgentPMT setup skills:

What AgentPMT is: ../what-is-agentpmt
- ClawHub page: https://clawhub.ai/agentpmt/what-is-agentpmt
- OpenClaw install: openclaw skills install what-is-agentpmt
- skills.sh install: npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup
- ClawHub page: https://clawhub.ai/agentpmt/agentpmt-account-mcp-rest-api-setup
- OpenClaw install: openclaw skills install agentpmt-account-mcp-rest-api-setup
- skills.sh install: npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup

skills.sh install script:

bash

npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup

MCP call shape after the main AgentPMT MCP server is connected:

json

{
  "method": "tools/call",
  "params": {
    "name": "Live-Web-Page-Browser",
    "arguments": {}
  }
}

Use the exact tool name returned by tools/list; the name above is the expected readable form.

Authenticated AgentPMT REST call body:

json

{
  "name": "live-web-page-browser",
  "parameters": {}
}

Use the setup skill for the account connection details before making REST calls.

Response Handling

Treat the returned JSON as the source of truth for this tool call.
If the response includes warnings or correction targets, apply them before retrying.
If the response includes a passed or success-style boolean, use it as the workflow gate.
If validation fails or the response shape is unclear, call get_schema or get_instructions before retrying.
If invoke fails, preserve the request parameters and retry only after fixing schema, auth, or payment errors.

Security

Do not place account secrets, wallet private keys, mnemonics, signatures, or payment headers in prompts or logs.
Keep tool inputs scoped to the minimum content needed for the task.
Use the setup skills for credential handling; this product skill only defines product-specific behavior.

AgentPMT Reference

What AgentPMT is: ../what-is-agentpmt (ClawHub: what-is-agentpmt, page: https://clawhub.ai/agentpmt/what-is-agentpmt; skills.sh: npx skills add AgentPMT/agent-skills --skill what-is-agentpmt)
AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup (ClawHub: agentpmt-account-mcp-rest-api-setup, page: https://clawhub.ai/agentpmt/agentpmt-account-mcp-rest-api-setup; skills.sh: npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup)
Marketplace product: https://www.agentpmt.com/marketplace/live-web-page-browser
AgentPMT main MCP server: https://api.agentpmt.com/mcp/
AgentPMT REST invoke endpoint: https://api.agentpmt.com/products/purchase