Useful Data Source For Agents Doing Product Price Sdk

io.github.nexus-mcp-infraPublished by GitHub account nexus-mcp-infrav1.0.0Updated Oct 24, 2026

Semantic product search over Singapore e-commerce, ranked by an auditable entropy-based value-score

The publisher's own server: PriceWin

Overview

AI-generated overview

Remote MCP server for semantic product search over Singapore e-commerce, ranking results by an auditable entropy-based value score.

What you can do
Search and rank Singapore e-commerce products by value score, with price and category filters and product identity resolution from fuzzy names. Retrieve vendor price distributions and full value-score breakdowns for a known product. Compare two to ten products head-to-head with confounder adjustment. Detect mispriced or outlier listings by z-score. Check service health and upstream reachability.
When to use it
Useful when an assistant needs to research Singapore retail prices, compare products across vendors, or explain why one listing is better value than another with citable reasoning rather than just lowest price.
Requirements
A remote streamable HTTP endpoint; no local package. Business endpoints require an X-API-Key header, obtained through a paid plan. Payment is either per-call in USDC on Base (currently Base Sepolia testnet) or metered Stripe billing. Network access to the hosted service.
Before you install
Calls cost money: $0.01 per call via x402 or metered Stripe billing, and unpaid requests return 402. The API key is a credential and should be kept private. Results cover only the BuyWhere Singapore catalog and prices are in SGD. The x402 payment path currently runs on a testnet.

Installation

In SourceWeft

  1. Open Useful Data Source For Agents Doing Product Price Sdk in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.nexus-mcp-infra%2Fuseful-data-source-for-agents-doing-product-price-sdk/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "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 Required with the payment details in the payment-required response 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 description
  • limit (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):

json
{  "query": "noise cancelling headphones",  "result_count": 5,  "currency": "SGD",  "products": [    {      "product_id": "abc123",      "title": "Sony WH-1000XM5",      "category": "electronics",      "image_url": "...",      "vendor_offers": ["..."],      "price_min_sgd": 389.00,      "price_max_sgd": 429.00,      "price_mean_sgd": 405.30,      "shannon_entropy_bits": 1.24,      "causal_reliability_score": 0.92,      "value_score": 0.847,      "value_score_explanation": "..."    }  ],  "computation_ms": 43.2}

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 with max_price_sgd and category_filter
  • fetch_buywhere_vendor_price_distribution - vendor spread for a known product_id
  • resolve_buywhere_product_identity - disambiguate a partial/fuzzy product name into candidate product IDs
  • compare_buywhere_products_causal_rank - head-to-head comparison of 2-10 products with confounder adjustment
  • extract_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: limit up to 50 results per call
  • MCP compare_buywhere_products_causal_rank: 2-10 product IDs per call

Source: README.md at commit 8f91aaf

Tools

0
SourceWeft has not read this server's tools yet.

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

75% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.

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