# email-verification

> email-verification — br0ski777-email-verification-x402. Use this tool when you need to verify the validity and quality of email addresses in real-time, solving problems such as reducing bounced emails and improving outreach pipeline efficiency. It takes an email address as input and outputs a quality score, syntax check, and other flags, providing a seamless interface for agent outreach pipelines. Ideal for use cases requiring instant email verification without API keys or rate limits.

Canonical page: https://skillsregistry.net/skills/br0ski777-email-verification-x402  
JSON: https://api.skillsregistry.net/v1/skills/br0ski777-email-verification-x402

## Description

Real-time email verification API with syntax, MX, disposable detection, role-based flags, quality score 0-100. Built for agent outreach pipelines with pay-per-call via x402 (USDC on Base L2) -- no API key, no signup, no rate-limit wall.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xqogi44ar7)
- **Repository:** <https://github.com/Br0ski777/email-verification-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-email-verification-x402"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/br0ski777-email-verification-x402` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/br0ski777-email-verification-x402/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