# SEC Form 144 & Corporate Actions (`bb-tradetec/sec-corporate-action-normalizer`) Actor

Normalize SEC Form 144 restricted-sale notices and evidence-bound corporate-action filing events.

- **URL**: https://apify.com/bb-tradetec/sec-corporate-action-normalizer.md
- **Developed by:** [BB](https://apify.com/bb-tradetec) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## SEC Form 144 & Corporate Actions

Normalize public SEC Form 144 restricted-sale notices and supported
corporate-action filings into evidence-bound `secCorporateActionEvent`
Dataset items.

### What this Actor gives you

- exact issuer, accession, form, security, quantity, and filing evidence
- Form 144 modeled as a notice, never as proof that a sale occurred
- deterministic event IDs and explicit partial or unsupported outcomes
- structured `SUMMARY` and bounded `ERRORS` records

The production-confirmed release path parses real SEC Form 144
`edgarSubmission` XML. Tender, going-private, recommendation, and M\&A shapes
are retained in the bounded contract and offline tests, but this release does
not claim full-universe live verification for every filing family.

### Example input

```json
{
  "queries": [
    {
      "requestId": "form144-by-company",
      "queryMode": "subjectCompany",
      "subjectCik": "320193",
      "detailKinds": ["restrictedSaleNotice"]
    }
  ],
  "maxFilings": 1,
  "maxResults": 1,
  "maxSourceRequests": 4,
  "maxDownloadBytes": 2097152,
  "outputSchemaVersion": "1.0",
  "outputMode": "full"
}
```

No caller URL or fuzzy company name is accepted. Use exact SEC identifiers
and the executable input schema for all filters and limits.

### Output

```json
{
  "schemaVersion": "1.0",
  "recordType": "secCorporateActionEvent",
  "recordId": "sec-corpact:...",
  "requestIds": ["form144-by-company"],
  "coverageStatus": "complete",
  "source": [],
  "warnings": [],
  "data": {
    "detailKind": "restrictedSaleNotice",
    "subjectCompany": {},
    "filing": {},
    "securities": [],
    "quantity": {},
    "evidence": []
  }
}
```

Successful records go to the default Dataset. `SUMMARY` and `ERRORS` are
separate default Key-Value Store records.

### SEC Complete Data Suite

This is the filing-evidenced corporate-action layer of the SEC Complete Data
Suite. It combines well with `sec-document-content-extractor`,
`sec-capital-formation-and-deal-aggregator`, and
`sec-market-integrity-aggregator`. It never starts another Actor itself.

### Limits, runtime, and cost

Runs are bounded to 20 queries, 100 filings, 5,000 events, 500 SEC requests,
and 104,857,600 downloaded bytes. Runtime and the price displayed by Apify
depend mainly on filing discovery, source downloads, and emitted records.
Start with the one-record example.

### Trust and limitations

- Form 144 is a restricted-sale notice, not a confirmed transaction.
- A deal is never marked completed without direct SEC filing evidence.
- No market-price reaction, fuzzy entity matching, legal conclusion, or trade
  signal is produced.
- This independent community Actor is not affiliated with or endorsed by the
  U.S. Securities and Exchange Commission.
- Output is public-source processing, not legal, compliance, transaction, or
  investment advice.

For support, use the Actor's Issues tab and include the run ID and bounded
input. Never post tokens or private data.

# Actor input Schema

## `queries` (type: `array`):

One to twenty exact corporate-action requests. The selected query mode determines which identifier fields are required at runtime.

## `maxFilings` (type: `integer`):

Run-wide cap on filings selected for normalization.

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

Run-wide cap on emitted corporate-action records.

## `maxSourceRequests` (type: `integer`):

Run-wide cap on SEC source requests.

## `maxDownloadBytes` (type: `integer`):

Run-wide cap on downloaded SEC response bytes.

## `outputSchemaVersion` (type: `string`):

Public Dataset schema version.

## `outputMode` (type: `string`):

Full evidence-rich records or compact records.

## `cursor` (type: `string`):

Opaque stateless continuation cursor from a previous compatible run.

## Actor input object example

```json
{
  "maxFilings": 25,
  "maxResults": 100,
  "maxSourceRequests": 100,
  "maxDownloadBytes": 26214400,
  "outputSchemaVersion": "1.0",
  "outputMode": "full"
}
```

# Actor output Schema

## `corporateActions` (type: `string`):

No description

## `summary` (type: `string`):

No description

## `errors` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("bb-tradetec/sec-corporate-action-normalizer").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("bb-tradetec/sec-corporate-action-normalizer").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 bb-tradetec/sec-corporate-action-normalizer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bb-tradetec/sec-corporate-action-normalizer",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/xiXFAGANmH5R0Xdb6/builds/kwTAECD2GPGTEeIdC/openapi.json