# DataSignals Events MCP: 12 US Filing Streams for AI Agents (`datasignalslab/datasignals-lab-events-mcp`) Actor

One MCP endpoint over twelve US filing and career-site event streams: SEC insider clusters, Form 144, 13D/G, 13F, 8-K, Form D, FDA, trial readouts, NIH grants, federal contracts, Congress trades and hiring signals. Every record carries its score inputs and a proof reference. Two tools need no key.

- **URL**: https://apify.com/datasignalslab/datasignals-lab-events-mcp.md
- **Developed by:** [DataSignals Lab](https://apify.com/datasignalslab) (community)
- **Categories:** AI, MCP servers, Agents
- **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

## DataSignals Events MCP: twelve US filing streams for AI agents

**One MCP endpoint over twelve streams of US filings and career-site events**, all
in the same record shape. Connect a client and ask; no local install.

### Two tools work without a key

`list_event_types` tells you what exists, how many events each stream holds, which
fields it carries and whether its score can be recomputed. `feed_health` tells you
how fresh every source is right now. An agent can therefore check the data is real
before anyone signs up for anything.

The other five tools need a key: `search_events`, `company_events`, `get_event`,
`usage` and `check_setup`. Set `DATASIGNALS_KEY` in your MCP client config.

### The twelve streams

Insider buying clusters, planned insider sales (Form 144), activist stakes
(13D/G), institutional holdings (13F), material corporate events (8-K) and private
capital raises (Form D) from SEC EDGAR. Drug approvals from openFDA. Trial
readouts from ClinicalTrials.gov. Research grants from NIH RePORTER. Federal
contract awards from USAspending.gov. Congressional trades from the US House
Clerk. Hiring signals read from companies' own career sites.

### What every record carries

`scored_on`, `score_inputs` with the formula version, and a `proof` reference
looked up in a published hash chain rather than asserted. Where an input is
missing from the source the record says `inputs_complete: false` instead of
guessing a number.

### Honest limits

**Not real time.** Sources refresh once a night; congressional trades weekly,
institutional holdings quarterly. `feed_health` reports the real age per source.

**First call after a quiet period.** This server sleeps when nobody is using it,
so a first connection can take a few seconds while it starts.

### Where this fits

The only signal source in this niche with a daily verifiable track record, confluence across every data stream, and direct agent access over MCP.

Every score in every report lists the terms it was built from, so you can check the number instead of trusting it.

Plans, including a free tier, are at https://datasignalslab.com/events-api.html

# Actor input Schema

## Actor input object example

```json
{}
```

# Actor output Schema

## `endpoint` (type: `string`):

Connect an MCP client to this Actor's Standby URL with /mcp appended.

# 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("datasignalslab/datasignals-lab-events-mcp").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("datasignalslab/datasignals-lab-events-mcp").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 datasignalslab/datasignals-lab-events-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datasignalslab/datasignals-lab-events-mcp"
        }
    }
}

```

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/WZkpew42pqe0LmCoD/builds/KKaOMPLAxALv6kl9W/openapi.json