Does this skill require an API key?

No, it interacts with the public Wayback Machine CDX API and does not require a private API key for standard usage.

How do I ensure I am getting the most recent data?

By default, results are cached for one hour. You can use the --no-cache option to bypass the cache and fetch the latest statistics directly from the API.

Is the output compatible with other tools?

Yes, you can use the --json flag to get a structured data format that is easy to pipe into other scripts or data visualization tools.

What does the Wayback Frequency skill do?

It calculates how often a specific URL has been archived by the Internet Archive (Wayback Machine), providing statistics on capture density over days, months, and years.

Can I see a year-by-year breakdown of archives?

Yes, by using the --full flag, the skill generates a detailed list of exactly how many captures occurred in each year of the site's history.

Wayback Frequency Analysis

Name: Wayback Frequency Analysis
Author: Mearman

byMearman

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分析与监控

Analyzes and visualizes the archival capture frequency and snapshot density of any URL on the Wayback Machine.

关于

The wayback-frequency skill provides deep insights into the archival history of a website by calculating capture rates over specific timeframes. It allows users to understand how frequently a site was crawled and saved by the Internet Archive, providing daily, monthly, and yearly averages. This tool is essential for researchers, SEO professionals, and developers who need to quantify the historical activity, update cadence, or digital footprint of a domain or specific page throughout its existence.

主要功能

Generate year-by-year detailed breakdowns of archive density
Support for both human-readable summaries and structured JSON output
Integrated caching system with a bypass option for real-time data
Calculate average captures per day, month, and year
Filter frequency analysis by specific start and end date ranges
2 GitHub stars

使用场景

Extracting raw archival statistics for digital archaeology or data science projects
Auditing how frequently a competitor updates their website content over time
Tracking the historical archival health and maintenance activity of a domain

关于

主要功能

Generate year-by-year detailed breakdowns of archive density
Support for both human-readable summaries and structured JSON output
Integrated caching system with a bypass option for real-time data
Calculate average captures per day, month, and year
Filter frequency analysis by specific start and end date ranges
2 GitHub stars

使用场景

Extracting raw archival statistics for digital archaeology or data science projects
Auditing how frequently a competitor updates their website content over time
Tracking the historical archival health and maintenance activity of a domain