# SEC Form D Fundraising Delta Monitor (`frankycheese/sec-form-d-fundraising`) Actor

Monitor official SEC Form D and D/A filings against issuer-name terms. Pay only for newly observed matching filings or source corrections; unchanged replays are free.

- **URL**: https://apify.com/frankycheese/sec-form-d-fundraising.md
- **Developed by:** [franklin mccheese](https://apify.com/frankycheese) (community)
- **Categories:** Automation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $300.00 / 1,000 new form d filings

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 Form D Fundraising Delta

Monitor new SEC Form D fundraising notices by issuer keyword. Pay only for new matching filings or material corrections.

### buyer value

Built for recurring monitoring where a verified delta is worth more than a bulk data dump. Silent baselines, stable fingerprints, idempotent settlement, and hard event/spend caps prevent replay billing.

### source

Uses SEC EDGAR daily master index. Every paid row links to the official record and includes a source fingerprint and disclaimer. Unmatched records, unchanged replays, silent baselines, and failed source fetches are not paid events.

### pricing

- `form-d-new` — `$0.30`
- `form-d-correction` — `$0.05`

Official-record screening aid. Form D is a notice filing, not SEC verification of a completed raise. Verify on sec.gov; not investment advice.

# Actor input Schema

## `watchlistId` (type: `string`):

Stable identifier used to isolate this watchlist and its replay state.

## `issuerKeywords` (type: `array`):

Case-insensitive issuer-name terms used to select matching SEC filings.

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

Official SEC filing form codes to include.

## `lookbackDays` (type: `integer`):

Number of recent source days to inspect on each run.

## `baselineMode` (type: `string`):

Silently establish a safe baseline by default; emit current matches only when charges are intended.

## `maxEvents` (type: `integer`):

Maximum paid events this run may emit.

## `maxTotalChargeUsd` (type: `number`):

Hard ceiling for this run’s event charges in US dollars.

## `maxSourceRecords` (type: `integer`):

Maximum source records fetched and evaluated per run.

## `stateStoreName` (type: `string`):

Named key-value store used for replay-safe source state and settlement receipts.

## `resetState` (type: `boolean`):

Clear saved source state before this run. Use only when intentionally re-baselining.

## `qualityTestMode` (type: `boolean`):

Apify Store automated smoke-test mode. It validates runtime and input startup, emits one unbilled summary, and does not query sources, mutate state, deliver business events, or charge.

## Actor input object example

```json
{
  "watchlistId": "sec-form-d-fundraising-watch",
  "issuerKeywords": [
    "capital"
  ],
  "forms": [
    "D",
    "D/A"
  ],
  "lookbackDays": 7,
  "baselineMode": "silent",
  "maxEvents": 1,
  "maxTotalChargeUsd": 5,
  "maxSourceRecords": 100,
  "stateStoreName": "quality-test-sec-form-d-fundraising",
  "resetState": false,
  "qualityTestMode": true
}
```

# Actor output Schema

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

No description

## `report` (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 = {
    "watchlistId": "sec-form-d-fundraising-watch",
    "maxEvents": 1,
    "maxSourceRecords": 100,
    "stateStoreName": "quality-test-sec-form-d-fundraising",
    "qualityTestMode": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("frankycheese/sec-form-d-fundraising").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 = {
    "watchlistId": "sec-form-d-fundraising-watch",
    "maxEvents": 1,
    "maxSourceRecords": 100,
    "stateStoreName": "quality-test-sec-form-d-fundraising",
    "qualityTestMode": True,
}

# Run the Actor and wait for it to finish
run = client.actor("frankycheese/sec-form-d-fundraising").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 '{
  "watchlistId": "sec-form-d-fundraising-watch",
  "maxEvents": 1,
  "maxSourceRecords": 100,
  "stateStoreName": "quality-test-sec-form-d-fundraising",
  "qualityTestMode": true
}' |
apify call frankycheese/sec-form-d-fundraising --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,frankycheese/sec-form-d-fundraising"
        }
    }
}
```

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/cG4olCldhPrlpOACL/builds/rLbg1JS0pPLCMMNu4/openapi.json