# Tech Enrichment

> Use this tool when you need to analyze a website's technology stack and identify key components such as content management systems, JavaScript frameworks, and analytics platforms. It solves problems related to competitive research and lead enrichment by providing structured technology data. The tool takes a website as input and returns detailed technology data, utilizing x402 USDC micropayments on Base for transaction processing.

Canonical page: https://skillsregistry.net/skills/br0ski777-tech-enrichment  
JSON: https://api.skillsregistry.net/v1/skills/br0ski777-tech-enrichment

## Description

Analyzes any website's technology stack by detecting over 50 technology categories including content management systems, JavaScript frameworks, analytics platforms, CDN providers, and more. Returns structured technology data for competitive research and lead enrichment workflows. Uses x402 USDC micropayments on Base.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/br0ski777-tech-enrichment)
- **Repository:** <https://github.com/br0ski777/tech-enrichment-x402>

## Use it

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": "br0ski777-tech-enrichment"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/br0ski777-tech-enrichment` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/br0ski777-tech-enrichment/pull`

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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
