Pricing Time Machine

io.github.alialtunarv0.1.0更新於 Oct 1, 2026

How any SaaS pricing page changed over the years, from the Wayback Machine. No API keys.

已驗證STDIO僅桌面Business & CommerceWeb Search & ScrapingData & Analytics

概覽

AI 產生的概覽

從 Wayback Machine 讀取 SaaS 定價頁的歷史存檔，讓助理呈現方案與價格多年來的變化。

功能
此伺服器查詢 Wayback Machine 的 CDX 索引以找出定價頁的存檔副本，抓取最接近指定日期的快照，並擷取金額、幣別、計費週期與方案名稱的推測。工具包括 pricing_timeline（將相同價格歸為期間並列出新增與移除）、pricing_at（最接近某日期的頁面上的價格）、compare_pricing（同一頁面在兩個日期的比較）、compare_competitors（同一日期下 2 到 8 個頁面的並列比較）以及 pricing_snapshots（哪些月份或年份有存檔）。另提供完整定價歷史報告與競品比較的提示詞。
適用情境
適合競品與市場研究：追蹤競爭對手何時漲價、更名方案或取消免費版，查看某產品過去某年的收費，或在同一時間點比較多家廠商的定價。它只依據存檔副本，因此適合歷史問題，而非目前的即時定價。
執行需求
透過 stdio 在本機執行，使用 uvx 從 PyPI 套件 pricing-time-machine-mcp 安裝，需要 uv。不需要 API 金鑰或帳號。需要連線至 archive.org 的網路，並會將存檔頁面快取到使用者的快取目錄。
安裝前請注意
唯讀：不抓取即時網站，也不修改任何內容。存檔頁面會快取在本機磁碟。結果取決於 Wayback Machine 是否存檔，以 JavaScript 呈現價格的頁面會回傳空內容，方案名稱是推測的，archive.org 可能較慢或短暫無法使用。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Pricing Time Machine，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only，透過 STDIO。 STDIO 服務會啟動本機處理程序，因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

pricing-time-machine-mcp

See how any SaaS pricing page changed over the years. An MCP server that reads archived copies of pricing pages from the Wayback Machine and pulls out the plans and prices, so Claude (or any MCP client) can tell you when a competitor raised prices, renamed plans or dropped a free tier.

No API keys. No scraping of live sites. One line to install.

You:    How did Notion's pricing change since 2022?Claude: [compare_pricing → notion.so/pricing, 2022-03 vs latest]        • Personal Pro ($4/mo billed yearly) is gone; the cheapest paid plan is now          Plus at $10 per member/month.        • Team ($8/user/mo) became Business at $20 per member/month: 2.5×.        • Free is still $0.

Summarized from real tool output: archived copies of 31 Mar 2022 and 7 Sep 2026.

[Notion pricing in 2022 vs 2026, compared by pricing-time-machine]

Why

You want to knowWithout itWith pricing-time-machine
When a competitor raised pricesClick through dozens of Wayback snapshots by handpricing_timeline lists price periods and every change
What their plans looked like in 2021Find a snapshot, read the pagepricing_at returns prices with plan names and billing hints
How a whole market movedDays of spreadsheet workcompare_competitors puts 2-8 pricing pages side by side at any date

How it works

mermaid
flowchart LR    C[Claude / MCP client] -->|tool call| S[pricing-time-machine-mcp]    S --> I[Wayback CDX index: which months were archived]    S --> W[Archived page closest to a date]    W --> X[Extract prices: amount, currency, /mo /yr, per user, plan guess, context]    X -->|compact table + page text around prices| C

The server does the deterministic part (finding snapshots, extracting prices, grouping periods). The model does the interpretation: which price belongs to which plan and what a change means. Archived pages never change, so they are cached on disk (~/.cache/pricing-time-machine).

Install

Requires uv.

Claude Code

bash
claude mcp add pricing-time-machine -- uvx pricing-time-machine-mcp

Claude Desktop / Cursor (claude_desktop_config.json / .cursor/mcp.json)

json
{  "mcpServers": {    "pricing-time-machine": {      "command": "uvx",      "args": ["pricing-time-machine-mcp"]    }  }}

Tools

ToolWhat it does
pricing_timelineReads N archived copies across the years, groups identical prices into periods, lists what was added/removed
pricing_atPrices on the page closest to a date, with plan guess, billing hints, context and the page text around them
compare_pricingOne page at two dates: both price tables plus added/removed prices
compare_competitors2–8 pricing pages side by side at the same date
pricing_snapshotsWhich months/years have an archived copy

Prompts: pricing_history_report (one company, the full story with dates), competitor_pricing (a market then vs now).

Dates can be 2021, 2021-06, 2021-06-15 or latest; the closest archived copy is used and its date is always shown.

Try these

  • "How did Slack's pricing change since 2016? Show every price increase in %."
  • "Compare the pricing of Notion, Coda and ClickUp today and in 2021."
  • "What did Figma charge for Professional in 2019?"
  • "Run pricing_history_report for linear.app/pricing."

Limits (set by the source)

  • Only pages the Wayback Machine archived. Most popular pricing pages have monthly copies going back years.
  • Pages that draw prices with JavaScript are empty in the archive; the server says so and you can try a nearby date.
  • Plan names are guesses from nearby headings; the context column and page text let the model check them.
  • archive.org is slow (10–30 s per page) and sometimes briefly offline; the server retries with backoff and caches everything it reads.

Part of the keyless MCP series

Open-source MCP servers that answer one market question each, with public data and no API keys.

ServerQuestion it answers
review-miner-mcpWhat do users hate about competitor apps and games? (App Store + Steam reviews)
pricing-time-machine-mcp (this one)How did a SaaS pricing page change over the years? (Wayback Machine)
hn-hiring-trends-mcpWhich skills are tech companies hiring for, and which are rising? (HN Who is hiring)
model-price-radar-mcpWhat does each LLM cost, and did it get cheaper? (OpenRouter + price history)
launch-detector-mcpWhat is a company about to launch? (certificate transparency logs)

Development

bash
uv sync --extra devuv run pytest                          # offline tests with a mocked Wayback Machineuv run python scripts/smoke_live.py    # live check against archive.org (1-3 min)uv run --with rich python scripts/demo.py notion.so/pricing 2022-03   # terminal demo (vhs docs/demo.tape records the GIF)npx @modelcontextprotocol/inspector uv run pricing-time-machine-mcp   # click-through UI

MIT © Ali Altunar

來源：README.md，提交 d8efc18

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  1. v0.1.0最新Oct 1, 2026