# SEC 8-K Event Feed (tickers, decoded items, press releases) (`exemplary_mezzo/sec-8k-event-feed`) Actor

Every new SEC 8-K/6-K with tickers, plain-English event types (earnings, M\&A, officer change, dilution, delisting), a high-impact flag and optional press-release text. Filter by item, ticker or keyword. Pay per filing.

- **URL**: https://apify.com/exemplary_mezzo/sec-8k-event-feed.md
- **Developed by:** [Overwatch Dominion](https://apify.com/exemplary_mezzo) (community)
- **Categories:** Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 8-K Event Feed

Get every new SEC **8-K** (and 6-K) filing as clean JSON: company, **tickers**, CIK, the 8-K **item codes decoded into plain English** ("Earnings / results of operations", "Material agreement entered", "Director or officer change", "Unregistered equity sale (possible dilution)", "Delisting notice"...), a **high-impact flag**, links, and optionally the **press-release text** (EX-99 exhibit).

Built for traders, analysts, IR/PR monitoring, deal and lead sourcing, and AI agents that need "what material event just happened at which listed company".

### Why this one

- **Decoded items + high-impact flag**: filter straight to earnings, M\&A, dilution, delisting, restatements or exec changes.
- **Ticker-ready**: tickers come with every filing; `onlyListed` drops funds and private filers.
- **Press-release text** attached when you want it, no second scraper needed.
- **Schedule it** (every 5-15 min, `daysBack: 0`) for a near-real-time event feed into Slack, Sheets, a webhook or your model.
- Official SEC EDGAR data only, polite to SEC's fair-access rules. No login, no proxies.

### Input examples

Today's listed-company earnings releases with text:

```json
{"daysBack": 0, "items": ["2.02"], "onlyListed": true, "includePressRelease": true}
```

Every possible-dilution filing (item 3.02) in the last 30 days:

```json
{"daysBack": 30, "items": ["3.02"], "onlyListed": true, "maxResults": 1000}
```

Watchlist: anything material from these tickers this week:

```json
{"daysBack": 7, "tickers": ["TSLA", "NVDA", "PLTR"], "onlyHighImpact": true}
```

### Output (one row per filing)

```json
{"accessionNumber": "0001964333-26-000102", "form": "8-K", "fileDate": "2026-10-22",
 "company": "Burke & Herbert Financial Services Corp.", "tickers": ["BHRB"], "cik": "0001964333",
 "items": ["2.02", "7.01", "8.01", "9.01"],
 "events": ["Earnings / results of operations", "Regulation FD disclosure", "Other events", "Financial statements and exhibits"],
 "highImpact": true, "possibleDilution": false, "sic": "6022", "location": "Alexandria, VA",
 "documentUrl": "https://www.sec.gov/Archives/edgar/data/1964333/.../bhrb-20261022.htm",
 "pressReleaseUrl": "https://www.sec.gov/Archives/edgar/data/1964333/.../a3q2026earningspressrelease.htm",
 "pressReleaseText": "Burke & Herbert Financial Services Corp. Reports Third Quarter 2026 ..."}
```

### Pricing

Pay per result: **$0.002 per filing**, **+$0.003 per press release** (only when `includePressRelease` is on and one is attached). 1,000 filings = $2.

Data is public SEC EDGAR information; not investment advice.

# Actor input Schema

## `daysBack` (type: `integer`):

How many days before the end date to include (0 = today only). Ignored if Start date is set.

## `startDate` (type: `string`):

Optional. First filing date to include.

## `endDate` (type: `string`):

Optional. Defaults to today.

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

SEC form types, e.g. 8-K, 8-K/A, 6-K.

## `items` (type: `array`):

Only filings containing any of these items, e.g. 2.02 (earnings), 1.01 (material agreement), 5.02 (officer change), 3.02 (unregistered sale), 3.01 (delisting). Empty = all.

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

Only these tickers. Empty = all companies.

## `ciks` (type: `array`):

Only these SEC CIK numbers.

## `keywords` (type: `string`):

Optional EDGAR full-text query, e.g. "FDA approval" or merger.

## `onlyListed` (type: `boolean`):

Skip funds and private filers: only companies with an exchange ticker.

## `onlyHighImpact` (type: `boolean`):

Earnings, material agreements, M\&A, bankruptcy, impairment, restructuring, dilution, delisting, restatement, change in control, cyber incident.

## `includePressRelease` (type: `boolean`):

Fetch the attached press release text. Charged per press release found.

## `pressReleaseChars` (type: `integer`):

Press-release max characters.

## `maxResults` (type: `integer`):

Max filings.

## Actor input object example

```json
{
  "daysBack": 1,
  "forms": [
    "8-K"
  ],
  "onlyListed": false,
  "onlyHighImpact": false,
  "includePressRelease": false,
  "pressReleaseChars": 4000,
  "maxResults": 100
}
```

# Actor output Schema

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

All results as a dataset

# 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 = {
    "forms": [
        "8-K"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("exemplary_mezzo/sec-8k-event-feed").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 = { "forms": ["8-K"] }

# Run the Actor and wait for it to finish
run = client.actor("exemplary_mezzo/sec-8k-event-feed").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 '{
  "forms": [
    "8-K"
  ]
}' |
apify call exemplary_mezzo/sec-8k-event-feed --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,exemplary_mezzo/sec-8k-event-feed"
        }
    }
}
```

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/2IVE3dSQ4NsufZuWt/builds/AQVfRDg2qKBWjyy15/openapi.json