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Useful Data Source For Agents Doing Product Price Sdk

Useful Data Source For Agents Doing Product Price Sdk

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github.com/nexus-mcp-infraSearch0Updated 13w ago
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About Useful Data Source For Agents Doing Product Price Sdk

A Singapore BuyWhere catalog API and MCP server for agents researching products and prices. It ranks semantic search results with an auditable value score based on vendor price distributions, reliability, and price rank.

Key features

  1. 01Semantic product search
  2. 02Auditable value-score breakdowns
  3. 03Vendor price distribution analysis
  4. 04Fuzzy product identity resolution
  5. 05Causal product comparison
  6. 06Deal anomaly detection

Use cases

  1. 01Finding products by natural-language description
  2. 02Comparing prices and value across vendors
  3. 03Checking why an item received its value score
  4. 04Spotting unusually priced listings

MCP support

An MCP endpoint exposes five tools for ranked product search, price distribution, product identity resolution, causal comparison, and deal anomaly detection. MCP-compatible clients connect through the streamable HTTP endpoint.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://useful-data-source-for-agents-production.up.railway.app/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project 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):

{
  "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

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