
Splitbasket Prices
io.github.voicearc由 GitHub 账号 voicearc 发布v1.0.0更新于 Oct 24, 2026
Cached US grocery prices, age disclosed on every row - search, compare across banners, coverage.
概览
远程 MCP 服务器,提供美国杂货缓存价格:按地点搜索商品、跨商超比价并查询覆盖范围。
- 可以做什么
- 按地点搜索附近商品,并给出各门店最近一次显示的价格
- 查询某个地点某一具体商品的缓存价格
- 针对一个查询在各商超品牌间比较最佳匹配,按标准单位价格排序
- 在提问前先确认该地点能回答哪些问题
- 发起付费的零售商实时抓取并轮询任务状态
- 适用场景
- 当助手需要某个邮编或都会区的美国杂货价格数据时适用,例如比较各商超的基础食品价格,或逐项估算购物清单。在不熟悉的地区应先查询覆盖范围,因为各地数据深度不同。
- 运行要求
- 远程 Streamable HTTP 端点,使用 bearer 认证,需要在 Authorization 请求头中携带 API 密钥。密钥免费,但处于封闭测试阶段、由人工发放,需通过邮件申请。需要网络访问。
安装
在 SourceWeft 中
- 打开 控制台中的 Splitbasket Prices,将其添加到工作区。
- 连接 Authorization token 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 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.voicearc%2Fsplitbasket-prices/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。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"splitbasket-prices": {
"type": "http",
"url": "https://api.splitbasket.shop/v1/mcp",
"headers": {
"Authorization": "Bearer <YOUR_TOKEN>"
}
}
}
}README
SplitBasket Grocery Prices — MCP server & data API
Cached US grocery prices for developers and agents, from the price panel behind
SplitBasket. Every price carries its observation
date; the API tells you what it can answer at a location before you ask, and
returns found: false rather than a plausible wrong number.
- API docs & quickstart: https://splitbasket.shop/developers
- Terms: https://splitbasket.shop/api-terms
- Get a key (free, closed beta): email [email protected] — one line about what you're building; keys are issued by a human, usually within a day.
Connect over MCP
Endpoint: https://api.splitbasket.shop/v1/mcp (Streamable HTTP, bearer auth)
Claude Code:
Any MCP client that speaks Streamable HTTP works the same way — point it at the
endpoint with the Authorization header.
Or plain HTTP
Tools
Coverage, honestly
Two layers (measured weekly — 2026-08-09; coverage is the runtime source of truth):
- National layer — six banners: Walmart, Costco, Whole Foods, Sprouts, Sam's Club, Aldi. 51 states (incl. DC) with at least one priced, 2+ banner comparison in 50, 3+ in 46 (measured 2026-08-11). These stores are priced weekly against a ~43-item staples basket.
- Deep metros — San Francisco, Fresno, Phoenix, Austin: 7–17 banners with full shopping catalogs.
Prices are cached observations, not live quotes. Exact-match rate by cache age,
measured over 275k observation pairs: 99.6% under a day, 93.8% at a week, 79.9%
at 30 days. Every row carries price_as_of and price_age_days; pass
max_age_days to enforce what your use case tolerates.
What this deliberately is not
- No basket optimizer. To estimate a basket, call
compare_priceper item and sum it yourself. - No state-level answers where prices measurably don't hold state-wide. Chain-wide for target, smartandfinal, bashas, frys, foodsco — and per-state where a chain is bimodal: Costco in ten measured states, Whole Foods in CA and NV. Measured, not assumed; the demote list tracks the weekly panel.
- No blended accuracy score. Price staleness is bimodal: a stale price is either exactly right or meaningfully wrong, so we disclose age instead of averaging it away.
Operated by VoiceArc Inc. Not affiliated with or endorsed by any retailer; retailer names identify where a price was observed.
来源:README.md,提交 7d6d4f1
工具
0版本历史
1- v1.0.0最新Sep 16, 2026
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