
Useful Data Source For Agents Doing Product Price Sdk
io.github.nexus-mcp-infra由 GitHub 帳號 nexus-mcp-infra 發布v1.0.0更新於 Oct 24, 2026
Semantic product search over Singapore e-commerce, ranked by an auditable entropy-based value-score
發布方自己的服務:PriceWin
概覽
遠端 MCP 伺服器,對新加坡電商商品做語意搜尋,並依可稽核的熵值價值評分排序。
- 可以做什麼
- 依價值評分搜尋並排序新加坡電商商品,支援價格與品類篩選,並能把模糊商品名稱解析為候選商品 ID。查詢指定商品的各商家價格分布與完整價值評分拆解。對 2 至 10 個商品做帶混雜因素調整的兩兩比較。以 z 分數偵測定價異常或離群商品。檢查服務健康狀態與上游可達性。
- 適用情境
- 適合需要調查新加坡零售價格、跨商家比較商品,或需要提出可引用的理由說明某商品為何更划算(而不只是最低價)的情境。
- 執行需求
- 遠端 streamable HTTP 端點,無需本機安裝套件。業務端點需要 X-API-Key 標頭,須透過付費方案取得。付費方式為按次 USDC(Base,目前為 Base Sepolia 測試網)或 Stripe 計量計費。需要能連線至該託管服務的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Useful Data Source For Agents Doing Product Price Sdk,將其新增到工作區。
- 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.nexus-mcp-infra%2Fuseful-data-source-for-agents-doing-product-price-sdk/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。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。
{
"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
來源:README.md,提交 8f91aaf
工具
0版本歷史
1- v1.0.0最新Sep 16, 2026
評分
已滿足適用檢查項的 75%
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
請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。
- 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。
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