# NPM Package Risk Auditor (`ezzatox/npm-package-risk-auditor`) Actor

Audit public npm packages for maintenance, deprecation, download, license, dependency, and supply-chain risk signals.

- **URL**: https://apify.com/ezzatox/npm-package-risk-auditor.md
- **Developed by:** [Ezzat Ghazi](https://apify.com/ezzatox) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 package audits

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## NPM Package Risk Auditor

Audit public npm packages for maintenance and supply-chain risk signals before you add them to a project.

### What it checks

- Deprecation status
- Weekly npm downloads
- License presence
- Direct dependency count
- Maintainer count
- Package age / last modified date
- Repository and npm links
- Human-readable risk reasons and a 0-100 score

### Input example

```json
{
  "packages": ["react", "lodash", "@apify/sdk"],
  "includeDependencies": false,
  "maxDependencies": 25
}
```

### Use cases

- Dependency due diligence before installing packages
- Supply-chain review for agencies and SaaS teams
- Vendor/dependency scorecards
- Bulk npm package health checks

### Notes

This Actor uses public npm registry and npm download APIs only. Scores are heuristic risk signals, not a replacement for a full security audit.

# Actor input Schema

## `packages` (type: `array`):

npm package names to audit, e.g. react, lodash, @apify/sdk.

## `includeDependencies` (type: `boolean`):

Also audit direct dependencies of the requested packages, up to the maxDependencies limit.

## `maxDependencies` (type: `integer`):

Maximum direct dependencies to add when includeDependencies is enabled.

## Actor input object example

```json
{
  "packages": [
    "react",
    "lodash",
    "@apify/sdk"
  ],
  "includeDependencies": false,
  "maxDependencies": 25
}
```

# Actor output Schema

## `packages` (type: `string`):

One row per npm package with risk score and maintenance signals.

## `securitySignals` (type: `string`):

Focused risk, deprecation, license, dependency, and maintainer signals.

## `summary` (type: `string`):

Summary counts by risk level.

# 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 = {
    "packages": [
        "react",
        "lodash",
        "@apify/sdk"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ezzatox/npm-package-risk-auditor").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 = { "packages": [
        "react",
        "lodash",
        "@apify/sdk",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("ezzatox/npm-package-risk-auditor").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 '{
  "packages": [
    "react",
    "lodash",
    "@apify/sdk"
  ]
}' |
apify call ezzatox/npm-package-risk-auditor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=ezzatox/npm-package-risk-auditor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/VQDeHLVRUBFxPLOBA/builds/k3j4dtKZj4xwEgDRh/openapi.json