# com.theaslangroupllc.pulse/pulsenetwork

> com.theaslangroupllc.pulse/pulsenetwork — com-theaslangroupllc-pulse-pulsenetwork. Use this tool when you need to access a vast network of paid intelligence endpoints for querying various data sources. It solves problems related to data gathering and analysis by providing a centralized platform with over 785 endpoints, allowing agents to pay per query using x402 USDC on Base. This tool is ideal for use cases requiring extensive data retrieval and processing, with a simple interface for querying and receiving data outputs.

Canonical page: https://skillsregistry.net/skills/com-theaslangroupllc-pulse-pulsenetwork  
JSON: https://api.skillsregistry.net/v1/skills/com-theaslangroupllc-pulse-pulsenetwork

## Description

785+ paid intelligence endpoints in one MCP server — agents pay per query via x402 USDC on Base.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.theaslangroupllc.pulse%2Fpulsenetwork)
- **Repository:** <https://github.com/GTCC777/mcp-pulsenetwork>

## Use it

MCP endpoint published by the skill: `https://pulse.theaslangroupllc.com/api/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-theaslangroupllc-pulse-pulsenetwork"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-theaslangroupllc-pulse-pulsenetwork` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-theaslangroupllc-pulse-pulsenetwork/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
