StackVersus: verified SaaS limits & pricing

io.github.congptvinadic-debug由 GitHub 帳號 congptvinadic-debug 發布v1.1.0更新於 Oct 30, 2026

Verified SaaS prices, plan limits and rate limits (AI tools, LLM APIs, voice, scraping) with sources

發布方自己的服務:verified.fyi

已驗證Streamable HTTP可網頁執行資料與分析商業與電商

概覽

AI 產生的概覽

唯讀的遠端 MCP 伺服器,讓助理查詢經核實的 SaaS 價格、方案額度、速率限制與超額規則,並附廠商來源與查核日期。

可以做什麼
  • 依關鍵字搜尋所有方案、額度、費率、免費額度與超額規則
  • 讀取單一產品的完整核實紀錄,含價格、單價與廠商原文引用
  • 將 2 至 6 個產品依價格與主要額度並排比較
  • 瀏覽資料集目錄與已涵蓋產品清單以取得 id
  • 查看 AI 助理與程式代理方案的價格與額度變更紀錄
適用情境
當使用者詢問某款 SaaS 工具的價格、方案包含多少請求或額度、API 每百萬 token 或每分鐘收費多少,或想比較兩家廠商時適用,且答案需要標明來源與查核日期。
執行需求
遠端 streamable HTTP 端點;不需 API 金鑰、註冊或本機執行環境。需要能連線至該服務商的端點。
安裝前請注意
唯讀,不索取任何憑證。資料抄錄自廠商頁面,超過 30 天可能過時,引用時應附上查核日期與來源連結。部分廠商未公布數字,此時僅有其原文說法。資料採 CC BY 4.0 授權,需連結來源頁面;另有付費試算表資料包單獨販售。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 StackVersus: verified SaaS limits & pricing,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。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.congptvinadic-debug%2Fstackversus-limits/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "stackversus-verified-saas-limits-pricing": {
      "type": "http",
      "url": "https://getstackversus.com/api/mcp"
    }
  }
}

README

StackVersus MCP server: verified SaaS limits and pricing

Free, read-only, remote Model Context Protocol server. No API key, no sign-up.

Endpoint: https://getstackversus.com/api/mcp (streamable HTTP, stateless) Docs: https://getstackversus.com/mcp

Every figure is copied from the vendor's own pricing page, help center or docs, with the source URL, the vendor's wording and the date it was read. Nothing is estimated. Covers 100+ products: AI assistants and coding agents (plan limits per window), LLM APIs ($/1M tokens, rate-limit tiers), voice-agent platforms (per-minute fees), AI video/image credits, search and scraping APIs, scraping platforms and proxies, email platforms, SaaS usage limits, plus a dated change log.

Connect

Claude Code:

claude mcp add --transport http stackversus https://getstackversus.com/api/mcp

Cursor, Windsurf, Codex, Claude Desktop and other JSON configs:

json
{ "mcpServers": { "stackversus": { "url": "https://getstackversus.com/api/mcp" } } }

Tools

ToolWhat it does
search_limits(query, dataset?, limit?)keyword search across every plan, limit, rate and gotcha
get_tool(tool_id, dataset?)full verified record for one product
compare_tools(tool_ids[])2 to 6 products side by side
list_changes(days?, tool_id?, include_wording?)dated price and limit changes (AI plans dataset) with sources
list_datasets(), list_tools(dataset?)coverage and ids

Also available

JSON and CSV endpoints, RSS for changes and llms.txt at https://getstackversus.com/limits. The full bundle as spreadsheets with change history: https://vinadic.gumroad.com/l/saas-limits-dataset

Data: CC BY 4.0 with a link to the source page. The server code lives in the (private) site repository; this repository holds the public server.json and docs.

來源:README.md,提交 90ce80a

工具

6

list_datasets

List datasets

Read-only catalog of the datasets on this server. Returns one row per dataset with `id` (the value other tools accept as `dataset`), `title`, `kind`, `tools` (number of products), `plans` (number of plans), `updated` (date of the last verified change), `page` URL and `json` endpoint on getstackversus.com, plus `generated` (build date). Currently 9 datasets: AI assistant and coding-agent plan limits, SaaS usage limits, LLM API token prices, voice-agent $/min, AI media credits, search APIs, scraping platforms and proxies, email platforms. No parameters, no auth, no pagination; the whole catalog comes back in one call. Use it once to learn dataset ids; use list_tools to see the products inside one dataset.

無需輸入參數。

list_tools

List products in a dataset

Read-only list of the products (vendors) covered, to look up ids before calling get_tool or compare_tools. Returns `count` and `tools`, each with `id`, `name`, `vendor`, `dataset`, `checked` (date the vendor page was last read), `plans` (count) and `page` URL; no prices or limits, those live in get_tool. Without `dataset` it returns every product across all datasets (about 100 rows); with `dataset` only that one. Not paginated, no auth, no side effects. When the user already names a product, skip this and call get_tool or search_limits directly.

輸入參數dataset

get_tool

Get one product record

Read-only full verified record for one product. Returns `matches` and up to 3 `records`; each record has `dataset`, `plans` (name, monthly and annual price, metering unit, limits per window), `rates` (per-unit prices such as $/min or $/1M tokens, each with the vendor `quote`), `free` tier, `overage` policy, `gotchas` (billing traps), `sources` (URLs) and `checked` date. Match by id (e.g. "claude", "cursor", "vapi", "openai-api") or by product name, case-insensitive; exact match wins, otherwise a substring match. Returns an error listing the candidates when the name is ambiguous or unknown. Prices are USD. `published: false` means the vendor states no number and the `value` is their wording; never estimate from it.

輸入參數datasettool_id必填

search_limits

Search limits and prices

Read-only keyword search across every plan, limit, rate, free tier, overage rule and gotcha in all datasets. Best first call for a question like "Cursor Pro requests per month", "Retell cost per minute" or "Gemini API free tier RPM". Returns `query`, `relaxed` (true when fewer than all words matched), `total`, `shown` and `rows`, each with `type` (plan, limit, rate, free, overage, unit or gotcha), `tool`, `tool_id`, `dataset`, `plan` and/or `metric`, `value`, `unit`, `published`, vendor `quote`, `sourceUrl`, `checked` date and `page`. Matching is case-insensitive on whole words; words that name a product must all match, other words are matched strictly first and then relaxed to at least half of them. At most `limit` rows (default 20, max 50), ranked by match quality; no pagination. Returns an empty `rows` array, not an error, when nothing matches; then try list_tools to find the product id and call get_tool.

輸入參數limitquery必填dataset

compare_tools

Compare products side by side

Read-only compact comparison of 2 to 6 products. Returns `compared` (count), `missing` (ids not found, never an error), `note` and `tools`, one compact record each: id, name, dataset, `checked` date, every plan with price and its headline limits or rates, `free` tier and `overage` policy. Products may come from different datasets. Platform fees and pass-through costs (LLM tokens, speech, telephony) stay separate rows; sum them yourself when the user wants an all-in figure. Ids as returned by list_tools or search_limits; a product name also works. Prices USD.

輸入參數tool_ids必填

list_changes

List recent price and limit changes

Read-only dated change log for the AI assistant and coding-agent plans dataset ("ai-plans" only; other datasets carry a `checked` date but no history yet). Returns `since` (cut-off date), `count`, `changelog` URL and up to 60 `changes`, newest first, each with `date`, `tool`, `tool_id`, `plan`, `field`, `old`, `new`, vendor `source` URL, `method`, `note` and `page`. By default covers the last 30 days and only real moves: price changes, limit changes, plans added or removed. Set `include_wording` to also get re-verification rows where only the vendor wording changed or a value was recorded for the first time. Use it for "what changed in the Claude plans this month" or to check whether a figure from get_tool moved recently.

輸入參數daystool_idinclude_wording

版本歷史

2
  1. v1.1.0最新Oct 30, 2026
  2. v1.0.0Oct 30, 2026

評分

已滿足適用檢查項的 90%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
  • 授權條款10 分

    請在儲存庫或註冊中心條目中宣告授權條款。

其他 Verified 整合