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AvantGuard - NinjaOne

AvantGuard - NinjaOne

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Overview

This node integrates with the AvantGuard NinjaOne platform to retrieve information about software patches that are in pending, failed, or rejected states. It is particularly useful for IT administrators and security teams who want to monitor patch compliance and status across their managed devices. By querying these patches, users can identify which updates require attention, helping maintain system security and stability.

Practical examples include:

  • Fetching all failed patches to trigger remediation workflows.
  • Monitoring pending patches to ensure timely deployment.
  • Filtering rejected patches by product or impact to analyze patching issues.

Properties

Name Meaning
Additional Query Parameters Optional filters and pagination controls to refine the query results. Includes:
- Device filter (Df)
- Monitoring timestamp filter (Ts)
- Patch Status filter (Status)
- Product Identifier
- Patch Type filter (Type)
- Patch Impact filter (Impact)
- Cursor for pagination
- Page Size to limit number of records per page

Output

The node outputs JSON data representing the list of software patches matching the specified filters. Each item typically includes details such as patch status, device information, product identifiers, patch type, impact, timestamps, and other relevant metadata.

If the node supports binary data output (not indicated here), it would represent associated files or attachments related to patches, but this node primarily returns structured JSON data.

Dependencies

  • Requires an API key credential for authenticating with the AvantGuard NinjaOne platform.
  • The base URL for the API must be configured in the node credentials.
  • Relies on the @avantguardllc/n8n-openapi-node package and the provided OpenAPI specification (openapi.json) for request construction.

Troubleshooting

  • Common Issues:

    • Incorrect or missing API credentials will cause authentication failures.
    • Invalid query parameters may result in empty responses or errors.
    • Pagination parameters (cursor, pageSize) must be used correctly to navigate large datasets.
  • Error Messages:

    • Authentication errors indicate invalid or expired API keys; verify and update credentials.
    • HTTP 400 errors suggest malformed query parameters; review the additional query parameters for correctness.
    • HTTP 500 errors indicate server-side issues; retry after some time or contact support.

Links and References

Discussion