# Review advisories for lodash 4.17.20

**Use case:** 

Read known OSV advisory matches for one historical npm version; no package installation or code execution.

## Input

```json
{
  "packages": [
    {
      "ecosystem": "npm",
      "name": "lodash",
      "version": "4.17.20"
    }
  ],
  "maxResults": 5,
  "comparePrevious": false,
  "onlyChanges": false,
  "snapshotName": "default",
  "stateStoreName": "maydit-osv-package-watchlists",
  "maxAdvisoriesPerPackage": 20,
  "maxPagesPerPackage": 3,
  "maxRunSeconds": 240
}
```

## Output

```json
{
  "observationId": {
    "label": "Watchlist advisory identity",
    "format": "text"
  },
  "ecosystem": {
    "label": "Ecosystem",
    "format": "text"
  },
  "packageName": {
    "label": "Package",
    "format": "text"
  },
  "requestedVersion": {
    "label": "Checked version",
    "format": "text"
  },
  "advisoryId": {
    "label": "Advisory",
    "format": "text"
  },
  "summary": {
    "label": "Publisher summary",
    "format": "text"
  },
  "watchStatus": {
    "label": "Current evidence status",
    "format": "text"
  },
  "fixedVersionEvents": {
    "label": "Published fix events",
    "format": "array"
  },
  "modifiedAt": {
    "label": "Publisher modified",
    "format": "date"
  },
  "withdrawnAt": {
    "label": "Explicit withdrawal",
    "format": "date"
  },
  "comparisonStatus": {
    "label": "Saved comparison",
    "format": "text"
  },
  "changedFields": {
    "label": "Changed fields",
    "format": "array"
  },
  "addedFixedVersionEvents": {
    "label": "Newly observed fix events",
    "format": "array"
  },
  "advisoryUrl": {
    "label": "Advisory evidence",
    "format": "link"
  },
  "observedAt": {
    "label": "Observed at",
    "format": "date"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The OSV Package Advisory Monitor Actor is ready to run with the inputs already set for "Review advisories for lodash 4.17.20". [Sign up or log in](https://console.apify.com/create-task-from-example/kaITK2oPg1Dl9KdiB) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Review advisories for lodash 4.17.20" task

The OSV Package Advisory Monitor Actor will start running based on the input automatically. You can also change all the input fields, like package version inventory, maximum saved observations, and more, to match your specific use case.

### 3. Receive the "Review advisories for lodash 4.17.20" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as watchlist advisory identity, ecosystem, package, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Review advisories for lodash 4.17.20" task via API](https://apify.com/maydit/osv-package-advisory-monitor.md).

## About this Actor

This example demonstrates how to use [OSV Package Advisory Monitor](https://apify.com/maydit/osv-package-advisory-monitor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/maydit/osv-package-advisory-monitor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/maydit/osv-package-advisory-monitor.md

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`).