methodology

Privacy and Data Retention Methodology

How AnyVidDL should document data collection, retention, and credential boundaries.

Last updated
2026-06-14
Author
AnyVidDL content team
Reviewed by
AnyVidDL Trust Review

A privacy methodology should separate one-link web parsing from extension, Pro, API, and MCP workflows. Each workflow needs clear statements about submitted URLs, temporary task data, logs, API keys, and what AnyVidDL should not collect.

Direct answer

A privacy methodology should separate one-link web parsing from extension, Pro, API, and MCP workflows. Each workflow needs clear statements about submitted URLs, temporary task data, logs, API keys, and what AnyVidDL should not collect.

Method

  • List each workflow type and the minimum data needed to complete it.
  • Identify sensitive data that should never be requested, including platform passwords and DRM credentials.
  • Define task data retention, deletion, abuse-prevention, and support-log rules.
  • Review privacy copy whenever extension, API, or MCP behavior changes.

Fields to record

  • Workflow
  • Data collected
  • Data avoided
  • Retention window
  • User control
  • Review date