# New Connecticut companies with an e-mail

**Use case:** 

Every company registered in Connecticut in the last week together with the e-mail the founder gave the state, each address checked for whether its domain accepts mail.

## Input

```json
{
  "preset": "connecticut_email_leads",
  "states": [
    "NY",
    "CO",
    "PA",
    "OR",
    "CT"
  ],
  "cities": [],
  "signals": [
    "EDGAR_FORM_D",
    "EDGAR_FORM_C",
    "EDGAR_FORM_1A"
  ],
  "registeredSince": "2026-08-01",
  "maxResultsPerState": 1000,
  "requireContact": false,
  "verifyContacts": true,
  "contactQuality": "deliverable_email",
  "minLeadScore": 0,
  "newFormationsOnly": true,
  "onlyNew": false,
  "radiusMiles": 25,
  "mergeDuplicates": true,
  "includeFunds": false,
  "monitorStoreName": "us-business-filings-monitor",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "leadScore": {
    "label": "Lead score",
    "format": "integer"
  },
  "sourceName": {
    "label": "Source",
    "format": "string"
  },
  "companyName": {
    "label": "Company name",
    "format": "string"
  },
  "entityCategory": {
    "label": "Entity type",
    "format": "string"
  },
  "industryTags": {
    "label": "Industry tags",
    "format": "array"
  },
  "formationDate": {
    "label": "Registration date",
    "format": "string"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "region": {
    "label": "State",
    "format": "string"
  },
  "postalCode": {
    "label": "ZIP code",
    "format": "string"
  },
  "contactName": {
    "label": "Contact name",
    "format": "string"
  },
  "contactRole": {
    "label": "Contact role",
    "format": "string"
  },
  "contactPhone": {
    "label": "Phone",
    "format": "string"
  },
  "contactEmail": {
    "label": "E-mail",
    "format": "string"
  },
  "address": {
    "label": "Street address",
    "format": "string"
  },
  "registryNumber": {
    "label": "Registry number",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [US New Business Leads + Contact Checks](https://apify.com/lergassy/us-business-filings.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/lergassy/us-business-filings.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/lergassy/us-business-filings.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).