# Email Confidence Check

**Use case:** 

Check how much to trust a business email address before you send. Returns whether the address is supported by the company pattern or published evidence, whether the mail server accepts it, and a clear ready / verify / research verdict.

## Input

```json
{
  "people": [
    {
      "firstName": "Guillermo",
      "lastName": "Rauch",
      "domain": "vercel.com"
    }
  ],
  "knownEmails": [
    {
      "email": "john.smith@company.com",
      "domain": "company.com",
      "name": "John Smith"
    }
  ],
  "enrichFromWebsite": true,
  "detectPattern": true,
  "inferHierarchy": false,
  "monitorJobChanges": false,
  "verificationLevel": "deep",
  "smtpTimeout": 10,
  "maxConcurrency": 3,
  "outputProfile": "full",
  "watchlistName": "",
  "monitorStateKey": "",
  "lastAction": {},
  "webhookUrl": "",
  "circuitBreakerThreshold": 0,
  "includeAgentContract": true,
  "includeDecision": true,
  "includeEvidence": true
}
```

## Output

```json
{
  "email": {
    "label": "Best Email",
    "format": "string"
  },
  "decision": {
    "label": "Decision",
    "format": "object"
  },
  "firstName": {
    "label": "First Name",
    "format": "string"
  },
  "lastName": {
    "label": "Last Name",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "domain": {
    "label": "Domain",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Waterfall Contact Enrichment — Email & Phone Lookup](https://apify.com/ryanclinton/waterfall-contact-enrichment.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/ryanclinton/waterfall-contact-enrichment.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/ryanclinton/waterfall-contact-enrichment.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
