# Company Facts (`jasper.bots/company-facts`) Actor

Company due diligence from public sources: SEC EDGAR identity and filings, domain facts and age, and a US OFAC sanctions screen, with a one-call verdict.

- **URL**: https://apify.com/jasper.bots/company-facts.md
- **Developed by:** [Jasper](https://apify.com/jasper.bots) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $15.00 / 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 Facts

Company due diligence from public sources: SEC EDGAR identity and filings, domain facts and age, and a US OFAC sanctions screen, with a one-call verdict.

Each request you give the Actor is one call to the Company Facts service. Each call it answers is one result in the run's dataset.

### Endpoints

- `GET /domain`: Domain facts and a sanctions screen
  Query parameters: `domain` (required, string).
- `GET /lookup`: Company dossier by name
  Query parameters: `company` (required, string); `domain` (optional, string).
- `GET /resolve`: Match a company name to SEC EDGAR identities
  Query parameters: `q` (required, string); `limit` (optional, integer).
- `GET /snapshot`: Compliance snapshot with a verdict
  Query parameters: `company` (required, string); `domain` (optional, string).
- `GET /ticker`: Company dossier by stock ticker
  Query parameters: `symbol` (required, string).

### Input

- **Endpoint**: which endpoint to call.
- **Requests**: a list of up to 100 requests. For a GET endpoint each one is an object of its query parameters; for a POST endpoint, the JSON body to send.

Example input:

```json
{
  "endpoint": "/lookup",
  "requests": [
    {
      "company": "Apple Inc."
    }
  ]
}
```

### Output

One dataset item per request: `request` (its number in the input), `endpoint`, `ok`, `status` (the answer's status code), `result` (the answer: JSON or text, or for a file such as an image its `contentType` and `base64` content) and `error` (why a request failed).

### Pricing

You pay per result: once for each request the service answers successfully. Requests that fail, or cannot be sent, are free, and a run stops when its maximum cost is reached.

# Actor input Schema

## `endpoint` (type: `string`):

Which of the service's endpoints to call.

## `requests` (type: `array`):

Up to 100 requests, each one call and at most one result. For a GET endpoint each is an object of its query parameters; for a POST endpoint, the JSON body to send. The README lists each endpoint's parameters.

## Actor input object example

```json
{
  "endpoint": "/lookup",
  "requests": [
    {
      "company": "Apple Inc."
    }
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "requests": [
        {
            "company": "Apple Inc."
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("jasper.bots/company-facts").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 = { "requests": [{ "company": "Apple Inc." }] }

# Run the Actor and wait for it to finish
run = client.actor("jasper.bots/company-facts").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 '{
  "requests": [
    {
      "company": "Apple Inc."
    }
  ]
}' |
apify call jasper.bots/company-facts --silent --output-dataset

```

## MCP server setup

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

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/67vmM4Kh4e9zTVAEm/builds/pcJuRc5ezPJPwRTdl/openapi.json