# Investor Edge — Earnings, IPOs, Insiders & SEC Filings (`brick_joey_yto/investor-edge-monitor`) Actor

Keyless market intel: Nasdaq earnings/IPO/dividend calendars, SEC EDGAR filings per ticker, insider trades — one scheduled briefing feed.

- **URL**: https://apify.com/brick_joey_yto/investor-edge-monitor.md
- **Developed by:** [William Billings](https://apify.com/brick_joey_yto) (community)
- **Categories:** Developer tools, Automation, Business
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 92.9% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 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

## Investor Edge — Earnings, IPOs, Insiders & SEC Filings

**A keyless 'morning briefing' feed for traders and analysts** — Nasdaq earnings calendar, IPO pipeline, insider trades and SEC filings, one scheduled run.

### Who it's for

- **Traders & PMs** — wake up to today's earnings reports, insider buys, and new filings on your tickers
- **Fintech builders** — keyless Nasdaq + EDGAR feeds to power alerts and screeners
- **Researchers** — insider trading patterns and filing history without a Bloomberg terminal

### Feeds

| Mode | What you get |
|---|---|
| **earnings** | Today's (or any date's) earnings calendar — symbol, company, EPS forecast, market cap, BMO/AMC timing |
| **ipo** | Upcoming + priced IPOs — company, ticker, price, shares, deal date |
| **dividends** | Ex-dividend calendar — symbol, dividend, dates |
| **filings** | Recent SEC filings per ticker — 8-K, S-1, 10-K, 10-Q, Form 4, 13D/G with direct EDGAR links |
| **insiders** | Latest insider trades — insider name, title, buy/sell, price, shares, value |
| **watch** | **Combined briefing** — earnings + insiders + filings for your ticker list in one run |

**Schedule `watch` every morning** — the same intel a Bloomberg user pays four figures for, at $0.001/row.

### Example inputs

```json
{ "mode": "earnings", "date": "2026-10-29" }
{ "mode": "watch", "tickers": ["AAPL", "MSFT", "NVDA"] }
{ "mode": "filings", "tickers": ["TSLA"], "forms": ["8-K", "4"] }
```

### Example output

```json
{
  "recordType": "earnings", "symbol": "MSFT", "companyName": "Microsoft Corporation",
  "epsForecast": 4.71, "marketCap": 3900000000000, "time": "BMO",
  "scrapedAt": "2026-11-03T12:00:00+00:00"
}
```

### Pricing

$0.001 per row — no subscription.

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# Actor input Schema

## `mode` (type: `string`):

earnings=today's calendar; ipo=upcoming+priced; dividends=ex-div; filings=SEC per ticker; insiders=insider trades; watch=combined briefing

## `tickers` (type: `array`):

filings/watch: tickers to pull SEC filings for

## `date` (type: `string`):

earnings: YYYY-MM-DD override (default = today)

## `forms` (type: `array`):

filings/watch: which SEC forms to keep

## `limit` (type: `integer`):

Max rows per feed

## Actor input object example

```json
{
  "mode": "earnings",
  "tickers": [
    "AAPL",
    "MSFT",
    "NVDA",
    "TSLA",
    "AMZN"
  ],
  "forms": [
    "8-K",
    "S-1",
    "10-K",
    "10-Q",
    "4",
    "SC 13D",
    "SC 13G"
  ],
  "limit": 100
}
```

# Actor output Schema

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("brick_joey_yto/investor-edge-monitor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("brick_joey_yto/investor-edge-monitor").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 '{}' |
apify call brick_joey_yto/investor-edge-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,brick_joey_yto/investor-edge-monitor"
        }
    }
}
```

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/lTpE6IJb63kVO0v4c/builds/g9BQnp2Ke8eJgyKBn/openapi.json