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346,332 tools. Last updated 2026-07-30 19:53

"Nike" matching MCP tools:

  • Turn a product page URL from a supported shop into structured product data — EAN barcode, price, stock status, and a purchase link — so the EAN can then be used with get_best_price or optimize_cart. Multi-variant product families return a labeled candidate list (size/colour, price, EAN per variant): ask the user to pick a variant, then use that exact variant's EAN with the other tools.
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  • Consult a named Synthetic Analyst who answers in their expert voice using their curated knowledge graph — one-off questions or multi-turn engagements (pass session_id back to continue). Each analyst has a unique methodology, domain expertise, and analytical lens that produces insights distinct from generic search or standard graph queries. For company-specific executives (e.g. "Nike CMO", "Apple CEO", "Target CFO"), you can pass analyst_id: "brand-cmo" with company: "Nike", or pass analyst_id: "Nike CMO" directly (auto-resolves to analyst_id: "brand-cmo" and company: "Nike"). Call list_analysts first to discover available analyst_id values. Responses may include a coverage status (in/adjacent/out), source attribution, and referrals to other expert graphs. Referrals MUST be presented in third-person platform voice (not the expert's voice) with an offer to query the referred graph. The analyst researches on your behalf: they can search Fodda's graphs, earnings intelligence, and supplemental data mid-consultation, and may refer or consult other analysts. Their research reads bill to you at standard rates ($0.50/call) and are itemized in `sources_used`.
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  • Find the cheapest way to buy multiple products together: computes the optimal split across shops — which items to order from which shop — accounting for each shop's shipping costs and free-shipping thresholds, and returns the lowest achievable total including shipping. Takes an array of EAN barcodes. For accurate results, call get_best_price for each EAN first, then call optimize_cart.
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  • Create or add to a saved tracking list the user can monitor over time. list_type is one of asin, brand, seller, niche; name is the user's label for the list; items are the identifiers to track (ASINs, brand names, seller names, or niche keys). Captures a baseline of the current observed state so a later 'what changed' check can show new sellers and score moves. Use when the user says 'track these ASINs', 'add Nike to my brand watchlist', 'start monitoring ...'.
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Matching MCP Servers

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    Provides read-only access to your Nike Run Club running activities, including listing runs and retrieving detailed metrics like distance, pace, and heart rate.
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  • Build a complete Brand Intelligence Profile by searching ALL knowledge graphs for a specific brand. Returns trend footprint (which trends the brand appears in), competitive landscape (co-occurring brands ranked by overlap), cross-graph presence, evidence timeline, lifecycle distribution, and bundled supplemental signals (Google Trends, Wikipedia, Amazon, earnings). Use when the query is about a specific company or brand — "What is Nike doing?", "Patagonia's innovation strategy", "How is Apple positioned?". This aggregates intelligence that would require dozens of separate web searches to assemble.
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  • Search for bicycle parts, components, accessories, and cycling clothing by name, brand, or model number. Returns matching products sorted cheapest-first, each with its price, stock status, EAN barcode, and a direct purchase link. Supports DE and AT pricing. If you already have a product's EAN, use get_best_price instead.
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  • Resolve a natural-language watchlist request into concrete ASINs the user can add. Use when the user says 'watch this brand', 'alert me when X loses a seller', 'add Nike to my watchlist', or any watchlist-creation intent. Returns matching ASINs with current scores plus product identity (brand, title, price or price range) and fulfillment (FBA/FBM/AMZ with amz/fba share) so the user can confirm which to add.
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  • Show how a brand's buybox concentration has changed over time. Returns weekly seller counts and observed buybox days for the trailing window. Use when the user asks 'is this brand getting more competitive', 'concentration trend for Nike', 'how has seller count changed over time', or 'buybox trajectory'.
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  • Save a reusable per-model research workflow (a 'playbook') the user can re-run or schedule. Provide a template_key (one of: brand_watch, new_brand_radar, replenishment_watch, arbitrage_feed, defend_my_niche, find_my_next_niche, brand_defense_daily, expansion_radar, dropship_watch, spread_hunter, map_sweep, operator_network_expose, gating_risk_guardian) with its scope, OR custom steps. scope holds the inputs every step shares (e.g. {"brand":"Nike"} or an ASIN). Use when the user says 'save this as a weekly check', 'make a playbook for ...', 'automate this research'.
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  • Check whether a brand sells on Amazon US, Amazon UK, and/or Walmart. Returns per-marketplace seller count, ASIN count, observed buybox days, and control score. Use when the user asks 'does this brand sell on Walmart', 'cross-marketplace presence for Nike', 'is this brand on Amazon UK', or any multi-marketplace brand question.
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  • Show ASINs that recently appeared for a brand. Use when the user asks 'new products for Nike', 'recently added ASINs', 'what new listings does this brand have', or any question about a brand's recent catalog additions. Each ASIN carries product brand, title, price (or price range) and fulfillment (FBA/FBM/AMZ + amz/fba pct).
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  • Look up the applicant tracking system (ATS) a specific large employer uses, from ResumeAI's State of ATS 2026 dataset (743 Fortune 500 / Global 2000 employers checked, 707 verified against live careers portals, June 2026). Accepts a company name or slug, e.g. 'Nike' or 'jpmorgan-chase'.
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  • List the sellers winning a brand's buy box — the resellers and arbitrage operators you're up against — each classified (authorized-retailer / arbitrage / Amazon / brand-direct / reseller). If you've saved an authorized list (authorized_seller_set) it instead flags the UNAUTHORIZED sellers. Use when the user asks 'which operators dominate the buy box on <brand>', 'who else is selling my brand', 'unauthorized sellers on Nike', 'find rogue sellers', or any brand buy-box / protection question.
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  • Find brands similar to a given brand by category, price tier, and competition level. Use when the user asks 'brands like Nike', 'similar brands to source', 'show me comparable brands', 'what else is in this niche', or any cohort/lookalike question.
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  • Lists available synthetic analyst personas (e.g. brand-cmo, brand-ceo, brand-cfo). To query a company-specific synthetic expert (e.g., "Nike CMO", "Apple CMO", "Adidas CEO"), consult brand-cmo (or relevant role ID) and supply the target company name in the company parameter (e.g. company: "Nike").
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