StackVersus: verified SaaS limits & pricing

io.github.congptvinadic-debug由 GitHub 账号 congptvinadic-debug 发布v1.1.0更新于 Oct 30, 2026

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

发布方自己的服务:verified.fyi

已验证Streamable HTTP可网页运行数据与分析商业与电商

概览

AI 生成的概览

只读的远程 MCP 服务器,让助手查询经核实的 SaaS 价格、套餐限额、速率限制与超额规则,并附厂商来源与核查日期。

可以做什么
  • 按关键词搜索所有套餐、限额、费率、免费额度和超额规则
  • 读取单个产品的完整核实记录,含价格、单价与厂商原文引用
  • 将 2 至 6 个产品按价格和主要限额并排比较
  • 浏览数据集目录与已覆盖产品列表以获取 id
  • 查看 AI 助手与编程代理套餐的价格和限额变更日志
适用场景
当用户询问某款 SaaS 工具的价格、套餐包含多少请求或额度、API 每百万 token 或每分钟收费多少,或想比较两家厂商时适用,且答案需要注明来源与核查日期。
运行要求
远程 streamable HTTP 端点;无需 API 密钥、注册或本地运行时。需要能访问该服务商的端点。
安装前请注意
只读,不索取任何凭据。数据抄录自厂商页面,超过 30 天可能过时,引用时应给出核查日期与来源链接。部分厂商未公布数字,此时仅有其原文表述。数据采用 CC BY 4.0 许可,需链接来源页面;另有付费表格数据包单独出售。

安装

在 SourceWeft 中

  1. 打开 控制台中的 StackVersus: verified SaaS limits & pricing,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.congptvinadic-debug%2Fstackversus-limits/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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.

来源: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.

无需输入参数。

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.

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数daystool_idinclude_wording

版本历史

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

评分

已满足适用检查项的 90%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

    请在仓库或注册中心条目中声明许可证。

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