# Company Signal: AI Company Research (`complex_intricate_networks/company-signal-ai`) Actor

Aggregate firmographics, hiring velocity, funding history, and technology stack data into clean JSON for AI agents, Claude MCP tools, and AI SDRs. Built specifically for automated B2B company profiling and lead enrichment.

- **URL**: https://apify.com/complex_intricate_networks/company-signal-ai.md
- **Developed by:** [CIN](https://apify.com/complex_intricate_networks) (community)
- **Categories:** MCP servers, AI, Lead generation
- **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Company Signal: Firmographics, Funding & News Enrichment

Turn a company name or domain into a structured, agent-ready account intelligence dataset. **Company Signal** aggregates firmographics, funding round histories, recent news headlines, and hiring indicators into a single normalized record.

Whether you are powering B2B SDR enrichment, VC deal-flow research, market monitoring, or direct Model Context Protocol (MCP) workflows for Claude Desktop and Cursor, Company Signal delivers high-intent data without token-bloating HTML noise.

***

### 🚀 Key Features

- **Multi-Source Signal Aggregation:** Scrapes direct website metadata, about-page signals, Google News feeds, and public funding announcements in parallel.
- **Funding Deduplication Engine:** Intelligently groups and deduplicates public funding events across multiple news outlets by round type, date, and dollar amount.
- **Agent & MCP Ready:** Outputs standardized JSON tailored for AI context windows, eliminating raw HTML noise and prompt overhead.
- **Accuracy & Relevance Guard:** Filters out unrelated press coverage for companies with common English brand names (e.g., *Next*, *Adobe*).
- **Confidence Scoring:** Assigns an explicit accuracy score (`0.0` to `1.0`) to every record so downstream workflows know when data is verified.

***

### 📥 Input Parameters

| Parameter | Type | Required | Description |
| :--- | :--- | :--- | :--- |
| `companies` | Array | **Yes** | List of target objects with `domain` and/or `name` (e.g., `[{"domain": "stripe.com", "name": "Stripe"}]`). |
| `includeNews` | Boolean | No | Search for and return recent press headlines (Default: `true`). |
| `includeFunding` | Boolean | No | Detect public funding events and build a funding timeline (Default: `true`). |
| `maxNewsItems` | Integer | No | Maximum number of news items to collect per company (Default: `5`, Max: `20`). |

***

### 📤 Output Schema Example

````json
{
  "companyName": "Vercel",
  "domain": "vercel.com",
  "resolvedAt": "2026-07-23T13:10:10.718Z",
  "confidence": 0.75,
  "sourcesUsed": ["website", "about-page", "news", "funding-news"],
  "firmographics": {
    "title": "Agentic Infrastructure - Vercel",
    "description": "The autonomous stack for every app and agent.",
    "siteName": "Vercel"
  },
  "funding": {
    "detected": true,
    "lastRound": {
      "headline": "Vercel Raises $300 Million in Series F at $9.3 Billion Valuation",
      "amount": "$300 Million",
      "roundType": "Series F",
      "mentionCount": 2,
      "publishedAt": "2025-10-01T07:00:00.000Z"
    },
    "fundingHistory": [
      {
        "headline": "Vercel Raises $300 Million in Series F...",
        "amount": "$300 Million",
        "roundType": "Series F",
        "publishedAt": "2025-10-01T07:00:00.000Z"
      }
    ]
  },
  "news": [
    {
      "title": "Vercel Acquires Talent Behind Egypt’s Stakpak to Build Agentic Infrastructure",
      "url": "[https://news.google.com/](https://news.google.com/)...",
      "publishedAt": "2026-07-20T09:27:04.000Z",
      "source": "TechAfrica News"
    }
  ]
}



# Actor input Schema

## `companies` (type: `array`):

List of companies to analyze (domain or name).
## `includeNews` (type: `boolean`):

Fetch recent news headlines from Google News RSS.
## `includeFunding` (type: `boolean`):

Detect public funding events from news sources.
## `maxNewsItems` (type: `integer`):

Maximum news articles per company.

## Actor input object example

```json
{
  "companies": [
    {
      "domain": "stripe.com",
      "name": "Stripe"
    },
    {
      "domain": "openai.com",
      "name": "OpenAI"
    }
  ],
  "includeNews": true,
  "includeFunding": true,
  "maxNewsItems": 5
}
````

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        {
            "domain": "stripe.com",
            "name": "Stripe"
        },
        {
            "domain": "openai.com",
            "name": "OpenAI"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("complex_intricate_networks/company-signal-ai").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "companies": [
        {
            "domain": "stripe.com",
            "name": "Stripe",
        },
        {
            "domain": "openai.com",
            "name": "OpenAI",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("complex_intricate_networks/company-signal-ai").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "companies": [
    {
      "domain": "stripe.com",
      "name": "Stripe"
    },
    {
      "domain": "openai.com",
      "name": "OpenAI"
    }
  ]
}' |
apify call complex_intricate_networks/company-signal-ai --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,complex_intricate_networks/company-signal-ai"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/vrXkKXG9h0d8VgpCc/builds/xZQxWtaSs8Tr8oyCj/openapi.json
