# SEC Company Red-Flag Dossier (US Public Companies) (`vanakenj45/company-red-flag-dossier`) Actor

One-call due-diligence dossier for US public companies from SEC EDGAR: red and amber flags (restatements, auditor changes, going concern, late filings, insider selling), key financials, recent 8-K events and insider activity. Give tickers, names, CIKs or websites.

- **URL**: https://apify.com/vanakenj45/company-red-flag-dossier.md
- **Developed by:** [Vanaken Digital](https://apify.com/vanakenj45) (community)
- **Categories:** Business, AI, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 company dossiers

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

## SEC Company Red-Flag Dossier (US Public Companies)

Give it a list of US public companies and get back one due-diligence dossier per company, built from SEC EDGAR. Each dossier has:

- **Red and amber flags** from the last 12 months of filings: bankruptcy or receivership, restatements (non-reliance on earlier financials), delisting notices, auditor changes, material impairments, late 10-K/10-Q notices, losses and other warnings in the latest financials, and insider selling (or buying), each with the filing it came from.
- **Key financials**: annual revenue, net income, margins and growth, plus the latest quarter, from XBRL data.
- **Recent 8-K events** with short excerpts.
- **Insider activity**: open-market buys and sells, planned (10b5-1) sales, and who bought or sold.
- **Profile and latest reports**: industry, headquarters, fiscal year end, and links to the latest 10-K/10-Q.

Each dataset item also carries `red_flags` and `amber_flags` counts, so you can sort a watchlist by risk.

### Who it is for

- Investors screening a watchlist or a portfolio for problems.
- Credit, procurement and partnership teams checking a public company before signing.
- AI agents that need a one-call answer to "is anything wrong with this company?"

### Input

| Field | Required | What it does |
|---|---|---|
| `companies` | yes | Up to 25 companies per run, given as tickers (`AAPL`, `BRK.B`), names (`Tesla`), SEC CIK numbers (`320193`) or websites (`nvidia.com`). |

Example:

```json
{ "companies": ["AAPL", "Tesla", "nvidia.com", "GETY"] }
```

### Output

One dataset item per company. Here is a real run (2026-10-21), shortened:

```json
{
  "input": "GETY",
  "red_flags": 2,
  "amber_flags": 2,
  "company": "Getty Images Holdings, Inc.",
  "ticker": "GETY",
  "cik": "1898496",
  "summary": "Getty Images Holdings, Inc. (GETY, OTC): services-business services, based in Seattle, WA. FY2025: revenue $981M …",
  "flags": [ { "level": "red", "flag": "…", "detail": "…", "url": "https://www.sec.gov/…" } ],
  "financials": { "annual": [ … ], "latest_quarter": { … } },
  "recent_events": [ … ],
  "insiders": { … },
  "latest_reports": [ … ]
}
```

If a company can't be found, it gets an item with an `error` field, and you are **not charged** for it.

### Pricing

**$0.02 per company dossier** (pay per event). Companies that aren't found cost nothing, Apify platform usage is included, and Apify adds its standard run-start fee of $0.00005. A 10-company watchlist costs $0.20.

### Limitations (please read)

- **Coverage:** US SEC registrants only. Private companies and foreign companies that don't file with the SEC aren't covered.
- **What a flag is:** flags are rule-based readings of filings (8-K items, filing deadlines, XBRL facts, Form 4s). They point you to documents worth reading; they are not ratings or investment advice.
- **Data gaps:** financials depend on the XBRL data a company filed. Small or new filers may have gaps, which the dossier lists under `missing`.
- **Website lookups:** a website resolves to the company that owns it when public records connect the two. Otherwise the name in the domain is tried.

### Use it from an AI agent (MCP)

This Actor runs with Apify's default limited permissions, so it is available through Apify's MCP server.
Add it to Claude, Cursor or any MCP client with:

```
https://mcp.apify.com?tools=<publisher>/company-red-flag-dossier
```

The agent then calls it with input like `{"companies": ["AAPL", "TSLA"]}`. Results land in the run's dataset; the MCP
server's `get-dataset-items` tool reads them.

### Data source

SEC EDGAR (filings, XBRL company facts, Form 4), which is public-domain US government data. Requests identify this service to SEC and stay within its fair-access rate limit.

# Actor input Schema

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

Up to 25 US public companies: tickers (AAPL), names (Tesla), SEC CIK numbers (320193) or websites (nvidia.com). One dossier per company.

## Actor input object example

```json
{
  "companies": [
    "AAPL",
    "TSLA"
  ]
}
```

# Actor output Schema

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

One dossier per company: red/amber flags, financials, recent 8-K events, insider activity. Companies not found carry an `error` field.

# 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": [
        "AAPL",
        "TSLA"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("vanakenj45/company-red-flag-dossier").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": [
        "AAPL",
        "TSLA",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("vanakenj45/company-red-flag-dossier").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": [
    "AAPL",
    "TSLA"
  ]
}' |
apify call vanakenj45/company-red-flag-dossier --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vanakenj45/company-red-flag-dossier"
        }
    }
}
```

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/N1NOJ3dh1J5N6UKGo/builds/LoXuPLN0lNrd4tjrW/openapi.json