Is PricePilot free to use?
Yes, PricePilot is free for the category-level surface, with a rate limit of 60 requests per minute and 1000 per day.
@vantage-meridian-group
基本信息
Cross-channel CPG pricing intelligence — Amazon category benchmarks (percentile rank, trend, tier breakdown) for multi-channel brands selling on Amazon plus retail, DTC, or wholesale. Six tools across 800+ tracked products in Grocery, Health & Beauty, Household, and Pet Supplies
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"pricepilot": {
"url": "https://pricepilot-mcp.onrender.com/mcp"
}
}
}Percentile-rank a single product price against tracked Amazon competitors in a CPG category. Use when a multi-channel CPG brand asks where their Amazon listing price sits against 100+ tracked products — e.g. checking whether a $4.99 granola is competitively positioned on Amazon, auditing whether a retail MSRP is reasonable against Amazon reality before a buyer meeting, or sanity-checking a wholesale-to-retail markup. Returns: percentile_rank (string, e.g. "72nd percentile"), price_index_label (ratio vs. category median), position (Value / Parity / Premium), category (resolved name), last_refreshed (ISO timestamp), cta (link to full per-SKU report). Args: price: Product price in dollars (e.g. 4.99). Must be > 0 and <= 10000. category: Exact category name — Grocery & Gourmet Food, Health & Beauty, Household, or Pet Supplies. Case-insensitive. Call list_categories first to confirm available names.
Report the 30-day Amazon price-trend direction for a CPG category. Use when a pricing ops lead asks whether category pricing is rising, stable, or falling — e.g. setting retail promo calendar against an Amazon backdrop, deciding whether to raise wholesale prices during inflationary windows, or catching a price war before it spills into their channel. Returns: trend_direction (Rising / Stable / Falling / Insufficient Data), trend_window ("30 days"), confidence (note with product count), category (resolved name), last_refreshed, cta. Args: category: Exact category name — Grocery & Gourmet Food, Health & Beauty, Household, or Pet Supplies. Case-insensitive.
Return pricing-tier breakdown and category stats for an Amazon CPG category. Use when a brand is sizing up a shelf — e.g. evaluating whether a new SKU should enter at budget / midmarket / premium tier, benchmarking their retail pricing against Amazon tier structure, or preparing for a retail buyer meeting that will ask "what's the typical shelf price here?". Returns: category (resolved name), product_count (bucketed, e.g. "100+ products"), price_tiers (dict with budget / midmarket / premium dollar bands, rounded to nearest $0.50 for abstraction), median_price, trend_direction, last_refreshed, cta. Args: category: Exact category name — Grocery & Gourmet Food, Health & Beauty, Household, or Pet Supplies. Case-insensitive.
Compare multiple product prices against an Amazon CPG category's peers. Use when a multi-channel CPG brand needs to stack-rank their SKUs — e.g. identifying which SKUs are underpriced relative to Amazon peers, flagging products where the Amazon Buy Box sits materially below the retail MSRP, or building a cross-channel price-audit table for an ops review. Replaces manual store walks and spreadsheet comparisons. Returns: comparisons (list, per product: name, price, percentile_rank, position, vs_median), category, category_trend, sample_size, last_refreshed, cta. Args: products: List of items, each a dict with 'name' (string) and 'price' (number in dollars). Minimum 1 item; 3-20 is the useful range. category: Exact category name — Grocery & Gourmet Food, Health & Beauty, Household, or Pet Supplies. Case-insensitive.
List Amazon CPG categories with current product counts and trend direction. Use as the first call in any pricing-analysis workflow — returns the exact category names expected by other tools, plus product count and trend for each. Lightweight; safe to call before any category-specific query. Returns: categories (list of {name, product_count, trend_direction, last_refreshed}), note (summary of coverage), cta. Covers Grocery & Gourmet Food, Health & Beauty, Household, and Pet Supplies.
Report PricePilot server health, data freshness, and degraded-state reason. Use to check whether category seeding is current (staleness threshold is 10 days) before trusting downstream tool output. Returns degraded status with reason if data is overdue; healthy otherwise. Returns: server (name), version, status (healthy / degraded), categories_available, data_freshness (ISO timestamp of last seed), degraded_reason (null if healthy).
PricePilot is a free Model Context Protocol (MCP) server that provides Amazon pricing intelligence for multi-channel CPG brands. It offers six read-only tools over weekly Buy Box scans across Grocery, Health & Beauty, Household, and Pet Supplies categories, serving as a free alternative to NielsenIQ/SPINS syndicated category data.
You can connect via a hosted endpoint at https://pricepilot-mcp.onrender.com/mcp (no API key required, rate-limited to 60 requests/minute and 1000/day), use the one-click .mcpb extension for Claude Desktop, or run locally with pip install -e . and DATABASE_URL=postgresql://... python -m pricepilot_mcp. Docker is also supported.
Yes, PricePilot is free for the category-level surface, with a rate limit of 60 requests per minute and 1000 per day.

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
🚀 The fast, Pythonic way to build MCP servers and clients.
评论