
Useful Data Source For Agents Doing Product Price Sdk
io.github.nexus-mcp-infra由 GitHub 账号 nexus-mcp-infra 发布v1.0.0更新于 Oct 24, 2026
Semantic product search over Singapore e-commerce, ranked by an auditable entropy-based value-score
发布方自己的服务:PriceWin
概览
远程 MCP 服务器,对新加坡电商商品做语义搜索,并按可审计的熵值价值评分排序。
- 可以做什么
- 按价值评分搜索并排序新加坡电商商品,支持价格与品类筛选,并能把模糊商品名解析为候选商品 ID。查询指定商品的各商家价格分布和完整价值评分拆解。对 2 至 10 个商品做带混杂因素调整的两两比较。基于 z 分数识别定价异常或离群商品。检查服务健康状态与上游可达性。
- 适用场景
- 适合需要调研新加坡零售价格、跨商家比较商品,或需要给出可引用的理由说明某商品为何更划算(而不只是最低价)的场景。
- 运行要求
- 远程 streamable HTTP 端点,无需本地安装包。业务端点需要 X-API-Key 请求头,需通过付费方案获取。付费方式为按次 USDC(Base,目前为 Base Sepolia 测试网)或 Stripe 计量计费。需要能访问该托管服务的网络。
安装
在 SourceWeft 中
- 打开 控制台中的 Useful Data Source For Agents Doing Product Price Sdk,将其添加到工作区。
- 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.nexus-mcp-infra%2Fuseful-data-source-for-agents-doing-product-price-sdk/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": {
"useful-data-source-for-agents-doing-prod": {
"type": "http",
"url": "https://useful-data-source-for-agents-production.up.railway.app/mcp"
}
}
}README
BuyWhere Singapore Value Intelligence API
Semantic product search over Singapore e-commerce (BuyWhere), ranked by an auditable value-score derived from Shannon entropy across vendor price distributions - not just "cheapest first."
Available both as a plain HTTP API and as an MCP server (5 tools) for AI agents.
Base URL
https://useful-data-source-for-agents-production.up.railway.app
Authentication
All business endpoints require an X-API-Key header:
X-API-Key:
/health requires no authentication.
Pricing
Two ways to pay, same endpoints:
- x402 (pay-per-call, USDC on Base) - currently on Base Sepolia testnet, $0.01/call. A request without payment gets
402 Payment Requiredwith the payment details in thepayment-requiredresponse header. - Stripe (metered billing) - for callers provisioned with an API key and a Stripe customer on the account.
Endpoints
GET /search
Semantic product search over the BuyWhere Singapore catalog, ranked by composite value-score.
Query params:
query(required) - natural-language product descriptionlimit(default 10, 1-50)min_value_score(default 0.0, range 0.0-1.0) - filter out products below this score GET /search?query=noise+cancelling+headphones&limit=5&min_value_score=0.5
Response (ProductSearchResponse):
GET /product/{product_id}/value_breakdown
Full auditable decomposition of the value-score formula for one product - entropy component, reliability component, price-rank component, the formula itself, and the recommended vendor/price.
GET /product/{product_id}/price_distribution
Vendor price distribution for one product: entropy (raw and normalized), price spread, coefficient of variation, and a plain-language interpretation of market fragmentation.
GET /health
Liveness probe. Returns { status, upstream_reachable, api_version, timestamp }. No auth required. Not billed (excluded from both Stripe and x402).
MCP tools
Connect an MCP-compatible client (Claude, Cursor, etc.) to the streamable HTTP endpoint at: https://useful-data-source-for-agents-production.up.railway.app/mcp
Exposes 5 tools:
rank_buywhere_products_by_value_score- ranked search withmax_price_sgdandcategory_filterfetch_buywhere_vendor_price_distribution- vendor spread for a knownproduct_idresolve_buywhere_product_identity- disambiguate a partial/fuzzy product name into candidate product IDscompare_buywhere_products_causal_rank- head-to-head comparison of 2-10 products with confounder adjustmentextract_buywhere_deal_anomalies- z-score based detection of mispriced or outlier listings
Value-score: the method
For each product, prices across vendors are treated as a distribution. The composite value_score blends:
- Entropy component - Shannon entropy of the price distribution across vendors (
H, in bits) normalized against the maximum possible entropy for that vendor count. Higher entropy = genuine price competition, not vendors clustered at the same number. - Reliability component - a causal-reliability score per vendor.
- Price-rank component - where this vendor's price sits in the observed range.
Every response includes the raw components (shannon_entropy_bits, entropy_component, reliability_component, price_rank_component) and, on /product/{id}/value_breakdown, the formula string itself - so an agent can cite the reasoning, not just the number.
Limits
/search:limitup to 50 results per call- MCP
compare_buywhere_products_causal_rank: 2-10 product IDs per call
来源:README.md,提交 8f91aaf
工具
0版本历史
1- v1.0.0最新Sep 16, 2026
评分
已满足适用检查项的 75%
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