# SEC Disclosure Risk Feed (`bb-tradetec/sec-disclosure-risk-feed-aggregator`) Actor

Compose supplied SEC events and changes into deterministic, evidence-linked disclosure attention signals.

- **URL**: https://apify.com/bb-tradetec/sec-disclosure-risk-feed-aggregator.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 $0.10 / 1,000 disclosure risk signals

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 Disclosure Risk Feed Aggregator

An offline A03 actor that converts supplied, validated SEC suite records into
deterministic, evidence-linked disclosure signals. It never fetches SEC data or
runs another Actor. The output is a monitoring feed, not investment, legal, or
compliance advice.

Accepted records are S01 8-K events, S02 filing changes, S06 financial
disclosures, S10 governance, S14 corporate actions, S15 comment letters and
S16 enforcement events, all at schema major 1. Use either inline records or
explicit dataset references from the current Apify run context.

`severityBand` is mechanical: 8-K Item 4.02, public enforcement events, and
financial restatements are `highAttention`; other documented changes follow
the versioned rules included in each output. It has no sentiment analysis and
does not make an investment assessment.

# Actor input Schema

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

Reserved common-contract field; runtime rejects it.

## `recordInput` (type: `object`):

Inline records or current-run datasets.

## `subjectFilters` (type: `array`):

Canonical CIK filters.

## `periodFrom` (type: `string`):

Inclusive start date.

## `periodTo` (type: `string`):

Inclusive end date.

## `maxInputRecords` (type: `integer`):

Hard input record limit.

## `maxOutputRecords` (type: `integer`):

Hard output signal limit.

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

Must equal maximum output records.

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

Dataset projection bound.

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

Dataset projection byte bound.

## `rulesetVersion` (type: `string`):

Published ruleset.

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

Published output schema.

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

Full or compact facts.

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

Stateless continuation cursor.

## Actor input object example

```json
{
  "maxInputRecords": 10000,
  "maxOutputRecords": 500,
  "maxResults": 500,
  "maxSourceRequests": 8,
  "maxDownloadBytes": 104857600,
  "rulesetVersion": "1.0",
  "outputSchemaVersion": "1.0",
  "outputMode": "full"
}
```

# Actor output Schema

## `signals` (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-disclosure-risk-feed-aggregator").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-disclosure-risk-feed-aggregator").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 bb-tradetec/sec-disclosure-risk-feed-aggregator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bb-tradetec/sec-disclosure-risk-feed-aggregator"
        }
    }
}

```

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/W9yvoArpvaZpE04wt/builds/dNHYBR9GFLvKBzLLf/openapi.json