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Corporate Email Finder & Verifier

Pricing

$30.00 / 1,000 resolved emails

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Corporate Email Finder & Verifier

Corporate Email Finder & Verifier

Generate likely corporate email candidates from a name and domain, then check syntax, MX, disposable-domain, and role-address signals. No mailbox-existence or deliverability guarantee.

Pricing

$30.00 / 1,000 resolved emails

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PROOFNEXA

PROOFNEXA

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1

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2 hours ago

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B2B email discovery and verification from a person name and company domain—supporting both single-lead lookup and bulk lead lists (up to 1,000 leads per run). Syntax, DNS MX, disposable-domain, and role-based signals are checked in the same run with per-domain signal caching for fast, low-memory execution (256 MB). Results are heuristic signals for controlled B2B lead-validation workflows—not delivery guarantees.

Modes

1. Single Finder + Verifier

Provide fullName and domain. The Actor generates up to 10 corporate email patterns (default: 5), verifies each, and saves the highest-scoring candidate to the Dataset.

{
"fullName": "Satya Nadella",
"domain": "microsoft.com",
"maxCandidates": 5
}

2. Bulk Finder + Verifier (leads — up to 1,000 leads per run)

Provide leads as an array of { "fullName", "domain", "companyName" } objects (or "Full Name, domain.com" strings) to resolve up to 1,000 B2B contacts in a single run. Domain MX and SMTP signals are cached per domain so multiple contacts at the same company resolve instantaneously.

{
"leads": [
{ "fullName": "Satya Nadella", "domain": "microsoft.com" },
{ "fullName": "Taro Yamada", "domain": "example.co.jp" }
],
"maxCandidates": 5
}

3. Verifier only (emails — up to 1,000 emails per run)

Provide emails to verify one address per Dataset record.

Companion B2B Lead, Email & Domain Intelligence Suite:

{
"emails": [
"taro.yamada@example.co.jp",
"not-an-email"
]
}

domain is preferred. If it is absent, a domain-like value embedded in companyName can be used. The Actor does not query a company directory or LinkedIn.

Output example

{
"inputName": "satya nadella",
"inputDomain": "microsoft.com",
"email": "satya.nadella@microsoft.com",
"patternUsed": "first.last",
"isValidSyntax": true,
"hasMx": true,
"isDisposable": false,
"isRoleBased": false,
"score": 85,
"status": "risky",
"checkedAt": "2026-10-20T00:00:00.000Z"
}

valid means the lightweight checks passed. risky means the address has a usable syntax/MX signal but also has an uncertainty or risk flag. invalid means syntax or MX failed. not_found means no usable candidate could be resolved.

Billing

The PPE event is email-resolved ($0.03 per resolved valid or risky email).

Only a result with status valid or risky is billable, and charging is attempted after that result is saved to Dataset. not_found, invalid, and failed requests are not charged. The run checks chargedCount and stops safely when the buyer's charge limit is reached.

Dataset contains one record per Finder request or one record per supplied email. Therefore the billing reconciliation is billableSavedCount == chargedCount; total Dataset rows also include non-billable invalid and not_found records.

Limits and safe use

  • Candidate generation supports up to 10 corporate patterns (first.last, firstlast, f.last, first_last, first, flast, first-last, last.first, first.l, and last).
  • Names are normalized with Unicode compatibility normalization, whitespace collapsing, and lowercasing. Japanese and English names use simple token splitting; transliteration is not attempted.
  • MX and a short SMTP TCP connection are signals only (cached per domain within a run). The Actor does not send mail, perform RCPT TO, or guarantee delivery, mailbox ownership, or consent.
  • Disposable and role-based lists are small built-in baselines and are not complete.
  • Do not use the output for unsolicited bulk outreach. Test a small set first.
  • No paid enrichment API, LinkedIn login, cookie, CRM integration, dashboard, or AI copy generation is used.

How to use

  1. Select Try for free in Apify (pre-filled with a working sample).
  2. Run a single Finder input, a bulk leads array, or emails list.
  3. Inspect the Dataset and score/status before using any result.
  4. Increase volume only after a small test is useful and the billing preview is understood.

AI Agent (MCP) & Automation Integration (Claude, Cursor, n8n, Clay, Make)

This Actor is Agentic-Payment & MCP Ready (LIMITED_PERMISSIONS, 256 MB fast cold-start, synchronous JSON output).

1. Claude Desktop / Cursor / Windsurf MCP Configuration

Add to claude_desktop_config.json or .cursor/mcp.json:

{
"mcpServers": {
"apify-b2b-quant": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"invaluable_rondeau/corporate-email-finder-verifier"
],
"env": {
"APIFY_TOKEN": "YOUR_APIFY_TOKEN"
}
}
}
}

2. Synchronous HTTP Webhook (n8n, Make, Clay, Zapier, cURL)

Call the synchronous dataset endpoint to get clean JSON items in a single HTTP request:

curl -X POST "https://api.apify.com/v2/acts/invaluable_rondeau~corporate-email-finder-verifier/run-sync-get-dataset-items?token=$APIFY_TOKEN&memory=256&clean=true" \
-H "Content-Type: application/json" \
-d '{}'

3. Search Keywords & Supported Workflows

Compatible with Model Context Protocol (MCP), Clay.com HTTP API enrichment, n8n HTTP Request node, Make.com, Zapier, LangChain, and OpenAI Agent SDK. Built as a high-margin, pay-per-event alternative to rigid monthly SaaS subscriptions (Hunter.io, ZeroBounce, NeverBounce, Apollo, Clearbit, Dropcontact alternative for B2B email finder and bulk email verification).


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