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PandaFind

by 17labs.ai

Overview

AliExpress is full of niche products, messy titles, specific variants, and listings that are hard to find unless you know the right marketplace wording. PandaFind lets you describe what you want in plain language, then helps your assistant search AliExpress directly and compare the results with more context. Use PandaFind to: - Search AliExpress without knowing the perfect keywords - Find niche products, specific variants, and cheaper alternatives - Compare similar listings before you buy - Check whether a product from another marketplace is just an AliExpress item with a markup - Decide whether lower price, faster shipping, easier returns, or seller trust matters most

Tools

search_products

ChatGPT
Find candidate AliExpress products from one compact marketplace query. Use short marketplace phrasing, not the users full sentence. For cheapest or price-comparison tasks, make multiple tool calls with different compact queries when variants, exact-model titles, or noisy SEO could hide the real cheapest option. When several query branches are independent, prefer issuing them in parallel or in the same assistant turn if your client supports multi-call tool use; do not wait for one branch before launching another unless the next query depends on observed results. Do not rely only on an exact model-name search when looking for the cheapest matching listing: also try one compact characteristic-led query built from the product head plus key specs so you can catch cheaper listings whose titles emphasize features instead of the canonical model name. Unless the user explicitly asks for a different presentation, every mentioned product must include a bold clickable markdown title plus the visible price immediately after it in parentheses, formatted like **[Product Title](URL)** (24.50 EUR). Do not mention a product without its link when a URL is available, and do not omit the visible price when one is available. After calling this tool, rank results by target-variant relevance first and visible price second, explain any partial matches, and explicitly flag trap listings such as mixed-capacity variants, lower-capacity defaults, without-battery listings, case-only listings, or battery-not-included listings.

search_products

ChatGPT
Find candidate AliExpress products from one compact marketplace query. Use short marketplace phrasing, not the users full sentence. For cheapest or price-comparison tasks, make multiple tool calls with different compact queries when variants, exact-model titles, or noisy SEO could hide the real cheapest option. When several query branches are independent, prefer issuing them in parallel or in the same assistant turn if your client supports multi-call tool use; do not wait for one branch before launching another unless the next query depends on observed results. Do not rely only on an exact model-name search when looking for the cheapest matching listing: also try one compact characteristic-led query built from the product head plus key specs so you can catch cheaper listings whose titles emphasize features instead of the canonical model name. Unless the user explicitly asks for a different presentation, every mentioned product must include a bold clickable markdown title plus the visible price immediately after it in parentheses, formatted like **[Product Title](URL)** (24.50 EUR). Do not mention a product without its link when a URL is available, and do not omit the visible price when one is available. After calling this tool, rank results by target-variant relevance first and visible price second, explain any partial matches, and explicitly flag trap listings such as mixed-capacity variants, lower-capacity defaults, without-battery listings, case-only listings, or battery-not-included listings.

search_products

ChatGPT
Find candidate AliExpress products from one compact marketplace query. Use short marketplace phrasing, not the users full sentence. For cheapest or price-comparison tasks, make multiple tool calls with different compact queries when variants, exact-model titles, or noisy SEO could hide the real cheapest option. When several query branches are independent, prefer issuing them in parallel or in the same assistant turn if your client supports multi-call tool use; do not wait for one branch before launching another unless the next query depends on observed results. Do not rely only on an exact model-name search when looking for the cheapest matching listing: also try one compact characteristic-led query built from the product head plus key specs so you can catch cheaper listings whose titles emphasize features instead of the canonical model name. Unless the user explicitly asks for a different presentation, every mentioned product must include a bold clickable markdown title plus the visible price immediately after it in parentheses, formatted like **[Product Title](URL)** (24.50 EUR). Do not mention a product without its link when a URL is available, and do not omit the visible price when one is available. After calling this tool, rank results by target-variant relevance first and visible price second, explain any partial matches, and explicitly flag trap listings such as mixed-capacity variants, lower-capacity defaults, without-battery listings, case-only listings, or battery-not-included listings.

App Stats

3

Tools

ChatGPT

Platforms

Works with

ChatGPT

Data refreshed daily