# SEC 13F Monitor — Institutional Holdings Data (`brick_joey_yto/sec-13f-monitor`) Actor

Keyless SEC 13F data: fund positions from Berkshire, ARK, Bridgewater & more — parsed holdings, watchlists and new-filing alerts. Whalewisdom-style data at $0.001/row.

- **URL**: https://apify.com/brick_joey_yto/sec-13f-monitor.md
- **Developed by:** [William Billings](https://apify.com/brick_joey_yto) (community)
- **Categories:** Developer tools, Automation, Business
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 results

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 13F Monitor — Institutional Holdings Data

**What the smart money owns, as a structured feed** — keyless SEC 13F data: parsed fund positions from Berkshire Hathaway, ARK, Bridgewater, Citadel, Soros and every 13F filer. The WhaleWisdom/Fintel data class at $0.001/row — no login.

### Who it's for

- **Traders & quants** — "what did Buffett just buy" is a real signal; get every fund's positions as structured rows
- **Funds & analysts** — track institutional ownership, crowding, and position changes across the 13F universe
- **Fintech & data products** — the fund-holdings feed your product needs (the data whalewisdom charges for)

### Modes

| Mode | What you get |
|---|---|
| **latest** | Newest 13F-HR filings across all funds — who filed, when, for what period |
| **fund** | Full parsed holdings for a fund — issuer, CUSIP, value, shares, % discretion |
| **watch** | Holdings across a fund list — schedule to catch portfolio changes |

### Example output

```json
{
  "recordType": "holding", "issuer": "APPLE INC", "cusip": "037833100",
  "classTitle": "COM", "valueThousand": "89500000", "shares": "300000000",
  "discretion": "SOLE"
}
```

### Example inputs

```json
{ "mode": "fund", "fundQuery": "berkshire", "limit": 50 }
{ "mode": "watch", "funds": ["ark", "bridgewater", "soros"] }
```

### Notes

13F filings drop quarterly (45 days after quarter-end) — new holdings data lands Feb/Apr/Jun/Aug 15th. Fund resolution covers major funds by name or any CIK.

### Pricing

$0.001 per row — no subscription.

### More from this developer

- [Resale Radar](https://apify.com/brick_joey_yto/resale-radar) — Poshmark + Depop + Grailed sniper feed
- [Vinted Monitor](https://apify.com/brick_joey_yto/vinted-monitor) — EU resale listings & sniper alerts
- [YouTube Transcript Engine](https://apify.com/brick_joey_yto/youtube-transcript-engine) — batch subtitles & captions for AI pipelines
- [Gov Contract Monitor](https://apify.com/brick_joey_yto/gov-contract-monitor) — SAM.gov opportunities + federal awards
- [Investor Edge Monitor](https://apify.com/brick_joey_yto/investor-edge-monitor) — earnings, insiders & SEC filings
- [Capitol Trades Monitor](https://apify.com/brick_joey_yto/capitol-trades-monitor) — Congress stock-trade alerts
- [TradingView Screener](https://apify.com/brick_joey_yto/tradingview-screener) — market scan & TA alerts

# Actor input Schema

## `mode` (type: `string`):

latest=newest 13F filings; fund=holdings for a fund; watch=holdings across a fund list

## `fundQuery` (type: `string`):

fund: name or CIK (berkshire, ark, bridgewater, soros, citadel, renaissance, tiger global, coatue, pershing, burry)

## `funds` (type: `array`):

watch: fund names/CIKs

## `limit` (type: `integer`):

Max holdings/filings per feed

## Actor input object example

```json
{
  "mode": "latest",
  "fundQuery": "berkshire",
  "funds": [
    "berkshire",
    "ark",
    "bridgewater"
  ],
  "limit": 100
}
```

# Actor output Schema

# 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("brick_joey_yto/sec-13f-monitor").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("brick_joey_yto/sec-13f-monitor").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 brick_joey_yto/sec-13f-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,brick_joey_yto/sec-13f-monitor"
        }
    }
}
```

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/bWFUad8iMWryFJdvm/builds/VqSWOmcH5NHR8rCWc/openapi.json