Company Research & Analysis Agent
This Actor is paid per event
Company Research & Analysis Agent
This Actor is paid per event
Comprehensive company research AI agent that gathers detailed information about companies using their domain name. Provides insights on company overview, products, market presence, key personnel, financials, technology stack, and recent developments.
Pratik DaniActor Metrics
5 Monthly users
No reviews yet
1 bookmark
80% runs succeeded
Created in Mar 2025
Modified 3 days ago
You can access the Company Research & Analysis Agent programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session
2curl https://actors-mcp-server.apify.actor/sse?token=<APIFY_TOKEN>
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Company Research & Analysis Agent via Model Context Protocol (MCP) server
MCP server lets you use Company Research & Analysis Agent within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Company Research & Analysis Agent Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": { # Actor inputs
7 "domain": ...,
8 ...
9 },
10 "name": "7UWen8Rq7NMb952Rt"
11 }
12}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [{
5 "type": "text"
6 "text": "ACTOR_RESPONSE"
7 }]
8 }
9}Configure local MCP Server via standard input/output for Company Research & Analysis Agent
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2"mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y", "@apify/actors-mcp-server",
7 "--actors", "7UWen8Rq7NMb952Rt"
8 ],
9 "env": {
10 "APIFY_TOKEN": "YOUR_API_TOKEN"
11 }
12 }
13}
14}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
