# SEC Exempt Offering Events (`bb-tradetec/sec-exempt-offering-normalizer`) Actor

Normalize public Form D, Regulation A, and Regulation Crowdfunding notices and reports into evidence-bound events.

- **URL**: https://apify.com/bb-tradetec/sec-exempt-offering-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

from $0.05 / 1,000 exempt offering events

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/platform/actors/running/actors-in-store#pay-per-event

## 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 Exempt Offering Normalizer

Local SEC Complete Data Suite actor for evidence-bound exempt offerings
reported publicly to the SEC.

Current state: Package 4 adds the native Apify lifecycle around the bounded,
direct-SEC resolver/client/service. The default Dataset receives only validated
`secExemptOfferingEvent` records. `SUMMARY` and `ERRORS` are always persisted
to the default Key-Value Store for success, empty, partial, and failed runs;
they never contain raw input, exception text, full SEC responses, secrets, or
untrusted URLs. See the [implementation specification](docs/implementation-spec.md)
and [public interface](docs/product/interface.md).

It normalizes Form D/D-A, Regulation A, and Regulation Crowdfunding notices and
reports as `secExemptOfferingEvent` records. `amountSold` is always a
filer-reported amount, not a payment confirmation. The hard limits are 20
queries, 10,000 records, 200 SEC requests, and 50 MiB. The local planned
pay-per-event configuration contains no events, so the adapter makes no charge
calls and every summary reports exact zero cost.

The Docker entry point is `python -m sec_exempt_offering_normalizer`. Python
3.13 and the exactly pinned Apify runtime closure are required. This project is
not deployed, published, price-configured, or monetized in Apify Cloud.

# Actor input Schema

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

One to twenty exact CIK or accession requests.

## `filedFrom` (type: `string`):

Inclusive filing-date lower bound.

## `filedTo` (type: `string`):

Inclusive filing-date upper bound.

## `includeAmendments` (type: `boolean`):

Whether amended filings may be returned as separate events.

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

Hard output-record ceiling.

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

Hard SEC request ceiling.

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

Hard SEC download-byte ceiling.

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

Supported output contract version.

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

Full or compact future record mode.

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

Opaque stateless continuation for the same semantic query scope.

## Actor input object example

```json
{
  "includeAmendments": true,
  "maxResults": 1000,
  "maxSourceRequests": 200,
  "maxDownloadBytes": 52428800,
  "outputSchemaVersion": "1.0",
  "outputMode": "full"
}
```

# Actor output Schema

## `exemptOfferingEvents` (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-exempt-offering-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-exempt-offering-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-exempt-offering-normalizer --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/69BgObhafFgkR4hSg/builds/b5BYTVX8JBBIcAWaf/openapi.json