Commerce-Shopping

Logimu Shopping

by Logimu

Overview

AI assistants are great at comparing products — and terrible at knowing today's price, what's actually in stock, and which "bestseller" is a relabeled generic. Logimu Shopping fixes that: Claude gets observed Amazon (US, UK, DE, CA, AU, ES, IT, FR, JP, BR, MX) and Walmart data — current prices, live stock, real ratings, 30-day price/BSR history, and ranked product shortlists — from a continuously refreshed warehouse of 17M+ tracked products. Three read-only tools: • shopping — "best coffee maker under $80" → ranked shortlists grouped by category or Budget/Mid-range/Premium price tiers, built from real ratings, review mass, and Amazon's own demand signals. • product — one ASIN in, full picture out: current price, stock, buy-box seller, seller count, 30-day price and stock change events, the all-seller offer table, and brand stats. • search — filtered structured queries: "well-rated dehumidifiers under $150 with 1,000+ reviews", sortable by BSR, rating, reviews, or price. Honest by construction: every record carries an observed_at freshness timestamp, data is observed from our warehouse rather than a retailer feed, and we have no affiliate or seller relationship with anything the tools return — nothing ranks because someone paid for it. Failed or empty requests are never billed. Free with no signup: 30 queries per day per user. An optional free API key (2,500 credits, no card required) unlocks unlimited use, on-demand live scrapes, and shopping detail mode at api.logimu.com.

Tools

product

Claude

Full dossier for ONE known product: its current snapshot plus its observed history. USE WHEN the user has a specific ASIN, Walmart item ID or product link and asks 'is this a good buy', 'has the price moved', 'who is selling this', 'is it in stock'. DON'T USE to discover products from a keyword (use shopping) or to pull a filtered list (use search). RETURNS current price, BSR, rating, review count, stock, buy-box seller and seller count, plus an observed_at freshness stamp, full price_history and stock_history back to first observation (with 30-day convenience views), change events tagged with the buy-box seller at each change, the current all-seller offer table with 30-day buy-box days, the bought-past-month badge, and brand stats. For the ~17% of the catalog with no overall rank (media, books, niche items), bsr_leaf and bsr_leaf_category carry the best category rank instead. MARKETPLACES us, uk, de, ca, au, walmart. Walmart takes a numeric item ID and returns the intelligence blocks only (no live scrape). COST free lane 1 of 30 daily queries, cache only. Keyed: 0.5 credits from cache, 1 for a live scrape, +0.5 for the intelligence blocks, +0.5 each for bsr_history and offer_history. Misses and partial scrapes are never billed; a miss may return a hint (found on another marketplace, or retry with mode=live).

search

Claude

Filtered query over the tracked-product warehouse (17M+ Amazon and Walmart products). USE WHEN the user wants a structured list matching explicit criteria: 'well-rated dehumidifiers under $150 with 1000+ reviews', 'everything by brand X sorted by BSR', 'FBA products in this category'. DON'T USE for 'best X' buying advice (use shopping, which ranks and groups), or for a single known product (use product). RETURNS a flat list of matching products with title, brand, price, rating, review count, BSR, seller count and marketplace, ordered by the sort field. Requires an anchor: pass q or brand. COVERAGE the continuously tracked BSR product universe, not the entire Amazon catalog. COST free lane 1 of 30 daily queries, capped at 25 rows. Keyed: 1 credit per 25 rows returned. Empty result sets are never billed.

shopping

Claude

Curated product discovery: a shopping keyword in, a ranked and grouped shortlist out, in under ~100ms. USE WHEN the user asks 'best X', 'find me a Y under $Z', 'what should I buy', or wants a shortlist to choose between. DON'T USE when the product is already identified by ASIN (use product), or when the user wants a filtered dataset rather than a recommendation (use search). RETURNS ranked products grouped either by category or by Budget/Mid-range/Premium price tier (chosen algorithmically, or forced with group), each carrying title, price in the marketplace's local currency, rating, review count, stock and an observed_at freshness stamp, plus brand facets. Ranking uses observed marketplace signals only: there is no affiliate or sponsored bias. A bare ASIN in q returns exactly that product. MARKETPLACES us, uk, de, ca, au, walmart. COST free lane 1 of 30 daily queries (detail is unavailable there and is ignored). Keyed: 2 credits, or 5 with detail=true. Empty result sets are never billed.

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Claude

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