Retailed

@Retailed search for Nike Dunk Low Panda across StockX and show me the current lowest ask prices by size

Based on the StockX search, the Nike Dunk Low Panda (style code CW1590-100) shows the following lowest ask prices as of this query: Size 8: $115, Size 9: $118, Size 10: $120, Size 11: $125, Size 12: $130. The product has strong availability across most men's sizes with consistent pricing in the $115-130 range. Note that these are illustrative figures representing the type of size-based pricing data the MCP returns—actual market prices fluctuate throughout the day.

This example demonstrates the MCP's core search and pricing retrieval capabilities. Requires a valid Retailed API key with sufficient quota. The pricing data reflects a point-in-time snapshot and can change rapidly in resale markets. Users should call Get API Usage periodically to monitor remaining quota, as pricing lookups count against your plan limits.

@Retailed what are the trending sneakers on StockX right now and what's driving demand for the top 3?

Current StockX trending products include: (1) Air Jordan 1 Retro High OG 'Yellow Toe' — recent release driving hype, lowest ask $285; (2) New Balance 1906R 'Protection Pack: Raincloud' — collab momentum, lowest ask $178; (3) Nike SB Dunk Low 'Raygun Tie-Dye' — limited restock, lowest ask $195. The trend data suggests colorway exclusivity and collaboration drops are the primary demand drivers this week. This illustrative summary shows how the MCP surfaces trending SKUs with contextual pricing—actual trend rankings update frequently based on StockX marketplace activity.

This example pairs the StockX Trends tool with AI synthesis to explain market momentum. The MCP returns structured trend data (product names, SKUs, prices), and the AI interprets demand signals. Useful for market research or inventory planning, but trends can shift within hours. No write operations occur—this is read-only market intelligence.

@Retailed compare the GOAT and StockX pricing for product ID abc123 in size 10, then tell me which platform offers better value after typical fees

For product ID abc123 (Air Jordan 4 Retro 'Military Black'), size 10 pricing comparison: GOAT shows a lowest price of $232 with estimated buyer fees bringing the total to ~$255. StockX lists the lowest ask at $228 with their fee structure totaling ~$251. After accounting for typical platform fees, StockX offers approximately $4 better value for this size. This illustrative comparison demonstrates how the MCP retrieves parallel pricing data from both marketplaces, enabling the AI to calculate net buyer cost across platforms.

This example showcases cross-platform price comparison using both Get GOAT Product Prices and Get StockX Product tools. Requires the product to exist on both marketplaces with the same size available. Fee calculations are estimates—actual fees vary by user account level, promotions, and payment method. Two API calls are consumed (one per platform), so monitor your quota when running batch comparisons.

When this MCP wins for small-scale sneaker resellers

A 2-person sneaker resale operation needs to reprice 40-80 SKUs daily based on StockX and GOAT market shifts. This MCP is the right call if you're already using Switchy for customer DMs and order tracking—it pulls live pricing from both platforms without opening browser tabs. The Search Products and Get GOAT Product Prices tools handle the bulk lookups; StockX Search covers the long-tail styles your inventory system doesn't track yet. The threshold: if you're moving more than 200 units a week, you'll hit API quota limits fast and need a dedicated repricing tool. Below that scale, this MCP keeps pricing current without adding another SaaS login.

How this MCP supports hype-cycle content teams

A 3-person streetwear blog publishes twice-weekly drop guides and needs to confirm which colorways are actually releasing and at what resale premiums. The StockX Trends and Search tools surface what's moving before official announcements hit; Get StockX Product pulls metadata for embed-ready product cards. This MCP works if your editorial calendar lives in Switchy and you're writing 4-8 product roundups a month—it's faster than manual StockX scraping and gives you structured data for templates. The trade-off: if you need historical pricing charts or sell-through rates, this MCP doesn't expose that depth. For launch-day coverage and trending-now angles, it's the cleanest integration.

When this MCP makes sense for collector portfolio management

An individual collector with 30-50 high-value sneakers wants quarterly valuations without spreadsheet drudgery. This MCP is borderline—it works if you're already using Switchy for other hobbies or side projects and want one workspace for everything. You'd run Get GOAT Product Prices and Get StockX Product once per item, export to a sheet, and repeat every 90 days. The API Usage tool helps you stay under quota if you're on a free tier. The honest call: if portfolio tracking is your only use case, a dedicated app like StockX Portfolio or a simple Zapier flow is simpler. This MCP shines when sneaker valuation is one task among five others you're managing in Switchy.