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.
Shared generic AnyVidDL product screenshot for Privacy and Data Retention Methodology.
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.
