# com.webotee/amazon-product-research-mcp (remote · app.webotee.com) Amazon brand, seller, niche & buy-box intelligence inside your own Claude or ChatGPT. - Trust score: 73/100 (medium) - Change this week: +9 - Registry status: active - Liveness: live - Owner verified: no - Last scored: 2026-08-03 ## Components - remote · `app.webotee.com`: 73/100 (this document), [markdown](https://verifymcp.io/servers/com-webotee-amazon-product-research-mcp/app.md), [page](https://verifymcp.io/servers/com-webotee-amazon-product-research-mcp/app) ## Channel facts - Endpoint: `https://app.webotee.com/mcp` - Transports: `streamable-http` - Auth: `none` - Version: `1.0.0` ## Trust breakdown How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog) Scored 2026-08-03. - **Endpoint Security**: 94/100 - The endpoint's TLS certificate is valid, in date, and uses a strong key. - Authorisation is enforced on tool calls, advertised via RFC 9728 protected-resource metadata. Discovery is public, which costs nothing: no tool can be invoked without a token. - HTTPS is enforced; there's no plaintext access path. - The HSTS (Strict-Transport-Security) header is present. - DNSSEC check failed: this domain isn't protected by DNSSEC. - The authorisation server offers only Dynamic Client Registration (RFC 7591), which MCP 2026-07-28 deprecated in favour of Client ID Metadata Documents. - **Transport & Reachability**: 100/100 - Verified streamable-http transport via a live MCP handshake. - **Schema Quality & AI Usability**: 53/100 - AI-judged instruction clarity (good). - Context-footprint check failed: tool/resource definitions use about 22707 tokens (~298/item across 76 items; 76 tools + 0 resources), over budget; trim descriptions and params. - Usage-examples check failed: none of the tools include examples. - **Stability & Change Management**: 27/100 - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses. - **Tool Coverage**: 80/100 - 100% of tools have a non-trivial description (not blank, and not just the tool's name). - 40% of tool parameters carry a description. - **Capabilities**: 60/100 - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. ## Install ### Claude ```bash claude mcp add --transport http com-webotee-amazon-product-research-mcp https://app.webotee.com/mcp ``` ### Codex ```toml [mcp_servers.com-webotee-amazon-product-research-mcp] url = "https://app.webotee.com/mcp" ``` ### opencode ```json { "$schema": "https://opencode.ai/config.json", "mcp": { "com-webotee-amazon-product-research-mcp": { "type": "remote", "url": "https://app.webotee.com/mcp", "enabled": true } } } ``` ### OpenClaw ```bash openclaw mcp add com-webotee-amazon-product-research-mcp --url https://app.webotee.com/mcp --transport streamable-http ``` ### Hermes ```yaml mcp_servers: com-webotee-amazon-product-research-mcp: url: "https://app.webotee.com/mcp" ``` ### Other ```json { "mcpServers": { "com-webotee-amazon-product-research-mcp": { "type": "http", "url": "https://app.webotee.com/mcp" } } } ``` The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs. ## Changelog Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims. ### 2026-08-02 (score 73, +1) No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-07-31 (score 72, +8) - [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server ### 2026-07-30 (score 64, −1) - [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server ### 2026-07-29 (score 65, +1) No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-07-27 (score 64, +1) - [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server ### 2026-07-26 (score 63) First indexed and scored. ## MCP tools (76) ### `evaluate_asin_sourcing` (~245 tokens) Evaluate a single ASIN for FBA sourcing. Returns composite sourcing score (0-100), 5-dimension breakdown (velocity, gating, friction, margin, brand_posture), estimated 30-day demand (units_30d_final + est_revenue_30d) with its source/badge_band/confidence, a data_coverage flag (full vs velocity_only — so a null demand reads as a coverage gap, not zero sales), star rating + review count (with a rating_coverage flag), brand-level FBA/Amazon dominance, and a red-flag list. Also returns the product brand, title, and price (or price range) plus the ASIN's fulfillment (FBA/FBM/AMZ + amz/fba pct). Use when the user asks 'should I buy this?', 'how fast does this sell?', or shares an ASIN and wants a sourcing recommendation. Input parameters: - `asin` (string, required): Amazon ASIN, 10-character alphanumeric. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `qty` (integer): Optional purchase quantity for ROI sizing. ### `evaluate_brand` (~500 tokens) Evaluate a brand for portfolio inclusion. Returns brand-level control posture, winner diversity (HHI), Amazon retail dominance %, FBA penetration %, catalog churn rate, total bought-past-month volume, estimated 30-day revenue, avg ship-by days, cross-brand operator count, plus the top 10 ASINs by composite sourcing score (each with product brand, title, price or price range, and fulfillment FBA/FBM/AMZ + amz/fba pct). Use when the user names a brand and asks 'is this worth carrying?', 'how does this brand look?', 'what is the churn rate?', or 'how fast does this brand ship?'. Input parameters: - `asin` (string): Keep only this ASIN in top_asins. - `asin_contains` (string) - `brand` (string, required): Brand name (case-insensitive). - `distribution_verdict_in` (string): Comma-separated distribution verdicts to keep, e.g. 'DOMINANT SELLER', 'OPEN DISTRIBUTION', 'HIGH BRAND HEAT'. If the brand's verdict isn't in the list, an empty result is returned. - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep on top_asins. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_composite_score` (number) - `max_fulfillment_amz_dom_pct` (number) - `max_fulfillment_fba_pen_pct` (number) - `max_gating` (number) - `max_margin` (number) - `max_number_of_ratings` (number) - `max_price` (number) - `max_rating` (number) - `max_velocity` (number) - `min_composite_score` (number) - `min_fulfillment_amz_dom_pct` (number) - `min_fulfillment_fba_pen_pct` (number) - `min_gating` (number) - `min_margin` (number) - `min_number_of_ratings` (number) - `min_price` (number) - `min_rating` (number) - `min_velocity` (number) - `product_brand` (string): Exact product brand (case-insensitive) on top_asins. - `product_brand_contains` (string) - `product_title_contains` (string) ### `competitive_landscape` (~483 tokens) Map the competitive landscape for a brand or category root. Returns top 10 sellers by observed buybox days held, top 10 brands by winner-diversity HHI, plus week-over-week deltas. Use when the user asks 'who's winning this category?' or 'who controls the buybox here?'. Input parameters: - `brand` (string) - `category_root_id` (integer) - `dominant_category_velocity_tier_in` (string): Comma-separated velocity tiers to keep in the brand list. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_amz_retail_dominance_pct` (number) - `max_bought_past_month_total` (number) - `max_brand_count` (number) - `max_brand_velocity_90d_units_day` (number) - `max_catalog_churn_30d_pct` (number) - `max_control_score` (number) - `max_pct_asins_gated_to_3p` (number) - `max_seller_churn_30d_delta_vs_cat_pp` (number) - `max_seller_churn_30d_pct` (number) - `max_total_observed_buybox_days` (number) - `max_unique_sellers_3m` (number) - `max_winner_diversity` (number) - `min_amz_retail_dominance_pct` (number) - `min_bought_past_month_total` (number) - `min_brand_count` (number) - `min_brand_velocity_90d_units_day` (number) - `min_catalog_churn_30d_pct` (number) - `min_control_score` (number) - `min_pct_asins_gated_to_3p` (number) - `min_seller_churn_30d_delta_vs_cat_pp` (number) - `min_seller_churn_30d_pct` (number) - `min_total_observed_buybox_days` (number) - `min_unique_sellers_3m` (number) - `min_winner_diversity` (number) - `seller_name` (string): Exact seller name in the sellers list (case-insensitive). - `seller_name_contains` (string) ### `risk_assessment` (~413 tokens) Risk + protection assessment for an ASIN or brand. Returns composite risk score (0-100), recent MAP violation events (≤10, each with the offending ASIN's product brand, title, price or price range and fulfillment FBA/FBM/Amazon), unauthorized seller list (≤10), and 1-3 recommended actions. Use for 'flag risk events on my brand' or 'is this ASIN risky?' style prompts. Input parameters: - `asin` (string) - `brand` (string) - `buybox_seller` (string): Exact offending buy-box seller (case-insensitive). - `buybox_seller_contains` (string) - `days` (integer): Lookback window for MAP events. Default 30. - `event_date_from` (string): YYYY-MM-DD. - `event_date_to` (string) - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `kind_in` (string): Comma-separated flagged-event kinds to keep (e.g. map_violations,amazon_dominated). - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_count` (number) - `max_fulfillment_amz_dom_pct` (number) - `max_fulfillment_fba_pen_pct` (number) - `max_listed_price` (number) - `max_price` (number) - `min_count` (number) - `min_fulfillment_amz_dom_pct` (number) - `min_fulfillment_fba_pen_pct` (number) - `min_listed_price` (number) - `min_price` (number) - `product_brand` (string): Exact product brand (case-insensitive). - `product_brand_contains` (string) - `product_title_contains` (string) - `severity_in` (string): Comma-separated severities to keep (high/medium/low). ### `xmkt_pricing_compare` (~322 tokens) Cross-marketplace (Amazon vs Walmart) pricing comparison. Returns matched pairs from mv_product_identity with current Amazon price, current Walmart price, delta %, and a coarse Amazon-FBA profitability check. Each pair also carries the Amazon ASIN's product brand, title and catalog price (or price range) plus fulfillment (FBA/FBM/Amazon). Use for arbitrage / sourcing questions ('cheaper on Walmart?'). Single-ASIN or by-brand. Input parameters: - `asin` (string) - `brand` (string) - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `marketplace_id` (integer): Amazon-side marketplace for the comparison (Walmart US is always the other side). 1 = Amazon UK, 2 = Amazon US (default) - `max_amazon_price` (number) - `max_delta_pct_amz_vs_wmt` (number) - `max_est_arbitrage_profit` (number) - `max_match_confidence` (number) - `max_walmart_price` (number) - `min_amazon_price` (number) - `min_delta_pct_amz_vs_wmt` (number): Only pairs whose Amazon-vs-Walmart price delta percentage is >= this. - `min_est_arbitrage_profit` (number) - `min_match_confidence` (number): Only matched pairs with Amazon<->Walmart match confidence >= this. - `min_walmart_price` (number) - `product_title_contains` (string) ### `gating_repricing_advice` (~132 tokens) Recommend ungate / arbitrage / avoid for an ASIN, with a 3-bullet rationale citing named metrics (gating_score, amz_retail_dominance_pct, fba_pct, brand_posture). Also returns the ASIN's product brand, title and price (or price range) plus fulfillment (FBA/FBM/Amazon). Use for 'should I try to ungate this?' / 'how should I price this?'. Input parameters: - `asin` (string, required) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) ### `find_brands_with_high_seller_churn` (~295 tokens) Find brands experiencing high seller churn relative to their category. Returns brands where seller_churn_30d_delta_vs_cat_pp >= the specified threshold (default 5pp). Optionally filtered by category. Use when the user asks about 'brands losing sellers', 'high churn brands', or 'seller instability'. Input parameters: - `brand` (string): Exact brand match (case-insensitive). - `brand_contains` (string) - `category` (string): Category root name to filter (optional). - `dominant_category_velocity_tier_in` (string): Comma-separated velocity tiers to keep. - `limit` (integer): Max results (capped at 10). Default 10. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_brand_velocity_90d_units_day` (number) - `max_delta_pp` (number): Max delta vs category in percentage points. Omit for no ceiling. - `max_seller_churn_30d_pct` (number) - `min_brand_velocity_90d_units_day` (number) - `min_delta_pp` (number): Min delta vs category in percentage points. Default 5. - `min_seller_churn_30d_pct` (number) - `scope` (string): tracked = only brands on the user's watchlist; universe = all brands. Default universe. ### `categories_amazon_retreating` (~274 tokens) Find categories where Amazon is retreating — net brand exits exceed entries over 90 days (amazon_expansion_net_90d < 0). Returns categories ordered by retreat magnitude. Use when the user asks 'where is Amazon pulling back?', 'which categories is Amazon leaving?', or 'Amazon retreat opportunities'. Input parameters: - `category_name` (string): Exact category name (case-insensitive). - `category_name_contains` (string) - `limit` (integer): Max results (capped at 10). Default 10. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_amazon_expansion_net_90d` (number) - `max_amz_retail_dominance_pct` (number) - `max_asin_count` (number) - `max_brand_count` (number) - `max_pct_amazon_pl` (number) - `min_amazon_expansion_net_90d` (number) - `min_amz_retail_dominance_pct` (number) - `min_asin_count` (number) - `min_brand_count` (number) - `min_pct_amazon_pl` (number) - `velocity_tier_in` (string): Comma-separated velocity tiers to keep. ### `top_velocity_brands` (~457 tokens) Find top brands by 90-day unit velocity (brand_velocity_90d_units_day). Optional filters: scope (tracked = user's watchlist, universe = all), category, minimum velocity, exclude Amazon private label, exclude gated. Use when the user asks 'fastest selling brands', 'top velocity brands', 'brands I track by velocity', 'what brands move the most units?', or 'best selling brands in [category]'. When the user says 'my brands' or 'brands I track', set scope=tracked. Input parameters: - `brand` (string): Exact brand match (case-insensitive). - `brand_contains` (string) - `category` (string): Category root name to filter (optional). - `dominant_category_velocity_tier_in` (string): Comma-separated velocity tiers to keep. - `exclude_amazon_pl` (boolean): Exclude Amazon private label brands. Default true. - `exclude_gated` (boolean): Exclude brands gated to 3P sellers. Default true. - `limit` (integer): Max results (capped at 10). Default 10. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_control_score` (number) - `max_pct_asins_gated_to_3p` (number) - `max_seller_churn_30d_delta_vs_cat_pp` (number) - `max_seller_churn_30d_pct` (number) - `max_sold_30d_revenue` (number) - `max_winner_diversity` (number) - `min_control_score` (number) - `min_pct_asins_gated_to_3p` (number) - `min_seller_churn_30d_delta_vs_cat_pp` (number) - `min_seller_churn_30d_pct` (number) - `min_sold_30d_revenue` (number) - `min_velocity` (number): Minimum units/day threshold (optional). - `min_winner_diversity` (number) - `scope` (string): tracked = only brands on the user's watchlist; universe = all brands. Default universe. ### `top_sourcing_picks` (~599 tokens) Find top sourcing-pick ASINs across the entire catalog with optional filters: max retail price, min retail price, category, brand, exclude gated, exclude Amazon private label. Use when the user asks 'top sourcing picks', 'best ASINs to source', 'ASINs under $X with rising demand', 'fastest growing ASINs', or any cross-cutting question where they have NOT named a specific entity yet. Each pick carries product brand, title and price (or price range) plus fulfillment (FBA/FBM/Amazon) alongside the sourcing scores. Input parameters: - `asin` (string): Exact ASIN match. - `asin_contains` (string) - `brand` (string) - `category` (string) - `exclude_amazon_pl` (boolean) - `exclude_gated` (boolean) - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `limit` (integer): Number of products to return (default 10, max 50). - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_composite_score` (number) - `max_fulfillment_amz_dom_pct` (number) - `max_fulfillment_fba_pen_pct` (number) - `max_gating_risk_score` (number) - `max_margin_signal` (number) - `max_number_of_ratings` (number) - `max_rating` (number) - `max_retail_price` (number) - `max_sold_30d_revenue` (number) - `min_composite_score` (number) - `min_fulfillment_amz_dom_pct` (number) - `min_fulfillment_fba_pen_pct` (number) - `min_gating_risk_score` (number) - `min_margin_signal` (number) - `min_number_of_ratings` (number) - `min_rating` (number) - `min_retail_price` (number) - `min_sold_30d_revenue` (number) - `min_velocity_score` (integer): Minimum velocity sub-score (0-100). >=90 = 'rising demand' (top ~3%%), >=70 = 'moderate growth' (top ~10%%). >=50 covers 97%% of ASINs and is not a meaningful filter. - `product_title_contains` (string): Keyword title search across the WHOLE catalog (FULLTEXT, token-AND any order — may also match the product description), ranked by sourcing score. Broader recall than a literal substring: 'ceiling fan… - `scope` (string): tracked = only ASINs from brands on the user's watchlist; universe = all. Default universe. ### `top_expanding_operators` (~307 tokens) Find sellers (operators) expanding into the most NEW brands in a recent window. Use when the user asks 'operators expanding into new brands', 'sellers growing fastest by brand count', 'who is moving into new brands this month', or any cross-cutting operator question without a specific seller named. Input parameters: - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_avg_rating` (number) - `max_avg_rating_count` (number) - `max_new_brands_in_window` (number) - `max_operator_fba_share_pct` (number) - `max_total_asins` (number) - `max_total_brands` (number) - `max_total_observed_buybox_days` (number) - `min_avg_rating` (number) - `min_avg_rating_count` (number) - `min_new_brands` (integer): Minimum new-brand count to surface (default 3). - `min_operator_fba_share_pct` (number) - `min_total_asins` (number) - `min_total_brands` (number) - `min_total_observed_buybox_days` (number) - `seller_name` (string): Exact seller/operator name (case-insensitive). - `seller_name_contains` (string) - `window_days` (integer): Days back for 'new' brands (default 30, max 90). ### `brands_gaining_sellers` (~361 tokens) Find brands that recently gained the most newly-OBSERVED sellers (sellers whose first-seen date on the brand falls in the window) — an observation signal, NOT confirmed market entry (sparse re-sampling can resurface long-present sellers as 'new'). Optional category filter. Use when the user asks 'brands gaining sellers in [category]', 'brands under hijacker pressure', 'who is seeing new entrants this month', or category-scoped seller-growth signals without naming a specific brand. Input parameters: - `brand` (string): Exact brand match (case-insensitive). - `brand_contains` (string) - `category` (string) - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_catalog_churn_30d_pct` (number) - `max_control_score` (number) - `max_newly_observed_sellers_in_window` (number): Upper bound on new-seller count (min is min_new_sellers). - `max_seller_churn_30d_pct` (number) - `max_total_sellers_3m` (number) - `min_catalog_churn_30d_pct` (number) - `min_control_score` (number) - `min_new_sellers` (integer): Minimum new-seller count to surface (default 2). - `min_seller_churn_30d_pct` (number) - `min_total_sellers_3m` (number) - `scope` (string): tracked = only brands on the user's watchlist; universe = all brands. Default universe. - `window_days` (integer): Days back (default 30, max 90). ### `operator_brands_by_competition` (~274 tokens) Given one or more operator (seller) names, return the brands they carry ranked by seller competition level. Use when the user asks 'which brands sold by these operators have the least competition', 'out of these operators, show me brands with fewest sellers', 'low-competition brands for operator X', or any follow-up that chains operator names to brand-level competition metrics. Input parameters: - `brand` (string): Exact brand (case-insensitive). - `brand_contains` (string) - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_asin_count` (number) - `max_competitor_count` (number) - `max_observed_buybox_days_3m` (number) - `max_operator_fba_share_pct` (number) - `min_asin_count` (number) - `min_competitor_count` (number) - `min_observed_buybox_days_3m` (number) - `min_operator_fba_share_pct` (number) - `operator_names` (array, required): List of seller/operator names to look up. - `sort` (string): Sort by competitor count: 'asc' (least competition first, default) or 'desc'. ### `find_undercompeted_brands` (~433 tokens) Find brands with low seller competition but real sales presence. The flagship sourcing discovery tool. Use when the user asks 'find brands with few sellers', 'low competition brands', 'undercompeted brands under $50', 'brands I could source with little competition', or any variant of 'find me something to sell'. Pass seed_brand when user mentions a reference brand ('brands like Ninja', 'low competition in the same category as OXO') to constrain results to the same root category. Input parameters: - `brand` (string): Exact brand match (case-insensitive). - `brand_contains` (string) - `category_id` (integer): Filter to a specific root category ID. Overrides seed_brand if both given. - `include_catchall` (boolean): Include reseller umbrella brands (PATIKIL, Uxcell, etc.). Default false. - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_asin_count` (number) - `max_avg_price` (number): Maximum average buybox price in USD. Omit for no price filter. - `max_control_score` (number) - `max_sellers` (integer): Maximum unique sellers (competition ceiling). Default 20. - `max_velocity_90d` (number) - `min_asin_count` (number) - `min_avg_price` (number): Minimum average buybox price in USD. Omit for no price filter. - `min_buybox_days` (integer): Minimum observed buybox days in last 3 months (sales floor). Default 30. - `min_control_score` (number) - `min_sellers` (integer): Minimum unique sellers (default 10). Drops single-seller / brand-owner-only 'PL junk' so results show proven multi-seller demand (the default 10–20 window: under-competed but real). - `min_velocity_90d` (number) - `seed_brand` (string): Reference brand to derive category from. Results stay in the same root category. ### `operator_compare` (~467 tokens) ASIN-level buy-box head-to-head between two operators (sellers). For the ASINs BOTH carry (contested), returns who holds the buy-box (winner), each operator's buy-box share, their sanitized average prices and the price gap, how many OTHER sellers are on the listing, whether Amazon holds the box, and a `situation` tag (amazon_in_box | reseller_swarm | tied_price | price_gap) — plus operator_a's estimated 30-day revenue-at-risk. Also returns each side's WHITESPACE: high-revenue ASINs that operator wins which the OTHER doesn't carry (expansion targets). Use when the user asks 'compare seller A vs seller B', 'where do these two sellers overlap / compete', 'who wins the buy-box between them', 'show me the head-to-head', or 'what does A sell that B doesn't'. Sortable by revenue-at-risk (default), price gap, or share gap. Input parameters: - `brand` (string): Optional — scope the comparison to a single brand's ASINs (catalog sizes, contested, and whitespace are all limited to that brand). Omit for all brands. - `contested_only` (boolean): If true, skip the whitespace sections (only the head-to-head contested list). - `include_whitespace` (boolean): Include each side's whitespace ASINs (default true). - `limit` (integer): Contested ASINs to return (default 25, max 100). This tool pages. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default). - `min_est_revenue_30d` (number): Only contested ASINs with estimated 30-day listing revenue >= this. - `operator_a` (string, required): First operator/seller name (the focal seller — revenue-at-risk + situation are from A's view). - `operator_b` (string, required): Second operator/seller name. - `sort` (string): Sort the contested list: revenue_at_risk (operator_a's 30d revenue at risk, default), price_gap (abs A-vs-B price gap), or share_gap (abs buy-box share gap). - `whitespace_for` (string): Which side's whitespace to compute (default both). ### `brand_buybox_trajectory` (~329 tokens) 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'. Input parameters: - `brand` (string, required): Brand name (case-insensitive). - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_asins_touched` (number) - `max_observations` (number) - `max_observed_buybox_days` (number) - `max_seller_count` (number) - `max_seller_count_change_pct` (number) - `min_asins_touched` (number) - `min_observations` (number) - `min_observed_buybox_days` (number) - `min_seller_count` (number): Keep only timeline weeks with at least this seller_count. - `min_seller_count_change_pct` (number) - `since_weeks` (integer): Weeks of history to return (default 26, max 52). - `trend_in` (string): Comma-separated trend labels to keep: CONCENTRATING, DECONCENTRATING, STABLE, INSUFFICIENT_DATA. If the brand's trend isn't in the list, an empty result is returned. - `week_start_from` (string): Keep only timeline weeks on/after this YYYY-MM-DD. - `week_start_to` (string) ### `category_undercompeted_brands` (~388 tokens) Find specific BRANDS within a category that have proven multi-seller demand but are still under-competed (a min-seller floor drops single-seller / brand-owner-only listings). Returns BRANDS — not niches or sub-categories. Use for 'undercompeted brands in ', 'low competition brands in Toys', 'which brands can I source in '. Do NOT use for 'under-served niches', 'niches in ', or 'find a niche to enter' — those are SUBCATEGORY questions; use find_underserved_niches instead. Input parameters: - `brand` (string): Exact brand match (case-insensitive). - `brand_contains` (string) - `category_id` (integer): Root category ID to search within. - `category_name` (string): Category name (fuzzy match if category_id not provided). - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_asin_count` (number) - `max_avg_price` (number): Maximum average price in USD. Omit for no cap. - `max_control_score` (number) - `max_sellers` (integer): Maximum unique sellers (default 20). - `max_velocity_90d` (number) - `min_asin_count` (number) - `min_avg_price` (number): Minimum average price in USD. Omit for no floor. - `min_buybox_days` (integer): Minimum observed buybox days in last 3 months (default 30). - `min_control_score` (number) - `min_sellers` (integer): Minimum unique sellers (default 10). Drops single-seller / brand-owner-only 'PL junk' so results show proven multi-seller demand. - `min_velocity_90d` (number) ### `unauthorized_sellers` (~362 tokens) 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 ', 'who else is selling my brand', 'unauthorized sellers on Nike', 'find rogue sellers', or any brand buy-box / protection question. Input parameters: - `authorized_sellers` (array): Optional. Authorized seller names — sellers NOT in this list are flagged. If omitted (and none saved), all buy-box-winning sellers are returned, classified. - `brand` (string, required): Brand name (case-insensitive). - `first_seen_from` (string): YYYY-MM-DD. - `first_seen_to` (string) - `last_seen_from` (string) - `last_seen_to` (string) - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_asins_touched` (number) - `max_avg_price` (number) - `max_observed_buybox_days` (number) - `min_asins_touched` (number) - `min_avg_price` (number) - `min_observed_buybox_days` (number) - `operator_type_in` (string): Comma-separated classifications to keep (cold path only, when no authorized list is set): e.g. arbitrage, reseller, amazon, brand-direct, authorized-retailer. - `seller_name` (string): Exact seller name (case-insensitive). - `seller_name_contains` (string) ### `operator_new_brands` (~170 tokens) Show brands an operator recently started selling. Use when the user asks 'what new brands did this seller pick up', 'operator new brands', 'what is Amazon Warehouse selling now that it wasn't before', or any question about an operator expanding their catalog. Input parameters: - `brand` (string): Exact brand (case-insensitive). - `brand_contains` (string) - `first_seen_from` (string): YYYY-MM-DD lower bound on first_seen. - `first_seen_to` (string) - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `operator_name` (string, required): Seller/operator name. - `since_days` (integer): How far back to look for new brands (default 30, max 180). ### `operator_lost_brands` (~193 tokens) Show brands an operator recently stopped selling (churn signal). Use when the user asks 'what brands did this seller drop', 'operator churn', 'brands lost by X', or any question about an operator shrinking their catalog. Input parameters: - `brand` (string): Exact brand (case-insensitive). - `brand_contains` (string) - `first_seen_from` (string) - `first_seen_to` (string) - `last_seen_week_from` (string): YYYY-MM-DD lower bound on last_seen_week. - `last_seen_week_to` (string) - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `operator_name` (string, required): Seller/operator name. - `since_days` (integer): Window to compare (default 30, max 180). Brands present before but absent in the last since_days. ### `operator_category_dominance` (~197 tokens) Show which product categories an operator dominates. Returns categories ranked by the operator's brand count and observed buybox days in each. Use when the user asks 'what categories does this seller focus on', 'operator category breakdown', 'where does Amazon Warehouse dominate', or any category-scoped operator question. Input parameters: - `category_name` (string): Exact category name (case-insensitive). - `category_name_contains` (string) - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_brand_count` (number) - `max_total_asins` (number) - `max_total_observed_buybox_days` (number) - `min_brand_count` (number) - `min_total_asins` (number) - `min_total_observed_buybox_days` (number) - `operator_name` (string, required): Seller/operator name. ### `find_single_seller_brands` (~278 tokens) Find brands where a single operator controls 100 percent of observed buybox days. These are either gated/exclusive or operator-acquired brands. Use when the user asks 'brands with one seller', 'exclusive brands', 'single-seller brands', 'monopoly brands', or any question about brands with no competition. Input parameters: - `brand` (string): Exact brand match (case-insensitive). - `brand_contains` (string) - `category_id` (integer): Filter to a specific root category. Omit for all. - `dominant_seller` (string): Exact dominant-seller name (case-insensitive). - `dominant_seller_contains` (string) - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_avg_price` (number): Maximum average price in USD. Omit for no cap. - `max_control_score` (number) - `min_asins` (integer): Minimum ASINs to filter out trivially small brands (default 10). - `min_avg_price` (number): Minimum average price in USD. Omit for no floor. - `min_buybox_days` (integer): Minimum observed buybox days in last 3 months (default 30). - `min_control_score` (number) ### `operator_xmarket_presence` (~90 tokens) Check whether an operator sells on Amazon US, Amazon UK, and/or Walmart. Returns per-marketplace brand count, ASIN count, and observed buybox days. Use when the user asks 'does this seller sell on Walmart too', 'cross-marketplace presence', 'is this operator on Amazon UK', or any multi-marketplace operator question. Input parameters: - `operator_name` (string, required): Seller/operator name. ### `brand_xmarket` (~211 tokens) 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. Input parameters: - `brand` (string, required): Brand name (case-insensitive). - `marketplace_id_in` (string): Comma-separated marketplace ids to keep: 1=Amazon UK, 2=Amazon US, 3=Walmart US. - `max_asin_count` (number) - `max_control_score` (number) - `max_observed_buybox_days` (number) - `max_seller_count` (number) - `min_asin_count` (number) - `min_control_score` (number) - `min_observed_buybox_days` (number) - `min_seller_count` (number) ### `find_new_operators` (~334 tokens) Find operators (sellers) we FIRST OBSERVED selling recently — their earliest observation in our data falls in the window. An observation signal, NOT confirmed market entry: sparse sampling can surface a long-present seller the first time we see them. Different from top_expanding_operators (existing operators adding brands). Use when the user asks 'new sellers this month', 'who just started selling', 'newly seen operators', or any question about emerging/newly-observed sellers. Input parameters: - `earliest_seen_from` (string): YYYY-MM-DD lower bound on earliest-seen date. - `earliest_seen_to` (string) - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_avg_rating` (number) - `max_avg_rating_count` (number) - `max_operator_fba_share_pct` (number) - `max_total_asins` (number) - `max_total_observed_buybox_days` (number) - `min_avg_rating` (number) - `min_avg_rating_count` (number) - `min_brands` (integer): Minimum brands to filter out trivial sellers (default 5). - `min_operator_fba_share_pct` (number) - `min_total_asins` (number) - `min_total_observed_buybox_days` (number) - `seller_name` (string): Exact seller name (case-insensitive). - `seller_name_contains` (string) - `since_days` (integer): How far back to look (default 30, max 180). ### `find_deconcentrating_brands` (~282 tokens) Find brands where buybox concentration dropped over the last quarter — more sellers are entering, creating opportunity for new entrants. Use when the user asks 'brands losing control', 'deconcentrating brands', 'brands opening up to competition', 'gentrification opportunities', or any question about brands becoming less monopolized. Input parameters: - `brand` (string): Exact brand match (case-insensitive). - `brand_contains` (string) - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_asin_count` (number) - `max_control_score` (number) - `max_new_seller_count` (number) - `max_old_seller_count` (number) - `max_seller_growth_pct` (number) - `min_asin_count` (number) - `min_buybox_days` (integer): Minimum observed buybox days to filter out inactive brands (default 30). - `min_control_score` (number) - `min_new_seller_count` (number) - `min_old_seller_count` (number) - `min_seller_growth_pct` (number) - `since_weeks` (integer): Window to compare (default 12, max 26). Compares first half vs second half. ### `brand_under_attack` (~247 tokens) Detect whether a brand is under competitive attack: an elevated NEW-ENTRANT RATE (brand-level newly-observed sellers vs the trailing-month baseline) combined with buy-box churn. Uses brand-level first-seen (a seller's first observation anywhere across the brand's ASINs), which is stable under scraper-coverage growth — not the inflated per-ASIN count. Use when the user asks 'is my brand being targeted', 'brand under attack', 'new sellers flooding my listings', 'is someone targeting this brand'. Input parameters: - `brand` (string, required): Brand name (case-insensitive). - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `signals_in` (string): Comma-separated signals that must be present: NEW_ENTRANT_SURGE, HIGH_BUYBOX_CHURN. Matches if the brand has any of them. - `since_weeks` (integer): Window to analyze (default 4, max 12). - `threat_level_in` (string): Comma-separated threat levels to keep: HIGH, MODERATE, LOW. If the brand's level isn't in the list, an empty result is returned. ### `operator_top_asins` (~658 tokens) Show the ASINs an operator wins the buybox on most often, ranked by ESTIMATED 30-day sales by default. For each ASIN it returns the operator's estimated units sold and revenue in the last 30 days (est_units_30d, est_revenue_30d — the product's sales estimate weighted by the operator's buy-box share) plus the operator's BUYBOX SHARE (percent of observed days it held the buybox; normalized, not raw days). Sortable by est_sales (default), observed buybox days won, price, or days seen. Use when the user asks 'what ASINs does this seller win on', 'top ASINs for operator X', 'what does this seller sell the most of', 'best products for this seller', or any ASIN-level operator drill-down. Each ASIN also carries product brand, title, and price (or price range) plus its fulfillment (FBA/FBM/AMZ + amz/fba pct). Input parameters: - `asin` (string): Exact ASIN match. - `asin_contains` (string) - `est_basis_in` (string): Comma-separated sales-estimate sources to keep. - `first_seen_from` (string): YYYY-MM-DD. - `first_seen_to` (string) - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `last_seen_from` (string) - `last_seen_to` (string) - `limit` (integer): Number of ASINs to return (default 10, max 50). - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_buybox_avg_price` (number) - `max_buybox_share_pct` (number) - `max_days_seen` (number) - `max_est_revenue_30d` (number) - `max_est_units_30d` (number) - `max_fulfillment_amz_dom_pct` (number) - `max_fulfillment_fba_pen_pct` (number) - `max_observed_buybox_days` (number) - `max_price` (number) - `min_buybox_avg_price` (number) - `min_buybox_share_pct` (number): Only ASINs where the operator's buybox share >= this. - `min_days_seen` (number) - `min_est_revenue_30d` (number) - `min_est_units_30d` (number) - `min_fulfillment_amz_dom_pct` (number) - `min_fulfillment_fba_pen_pct` (number) - `min_observed_buybox_days` (number) - `min_price` (number) - `operator_name` (string, required): Seller/operator name. - `product_brand` (string): Exact product brand (case-insensitive). - `product_brand_contains` (string) - `product_title_contains` (string) - `sort` (string): Sort order: est_sales (estimated 30-day revenue, default), buybox_days (observed buybox days won), price, or days_seen. ### `operator_top_brands` (~364 tokens) Show the brands an operator sells the most of, ranked by ESTIMATED 30-day sales by default. For each brand the operator carries it returns the operator's estimated units sold and revenue in the last 30 days (est_units_30d, est_revenue_30d — the estimated sales of the ASINs the operator wins for that brand, weighted by its buy-box share), the number of the brand's ASINs the operator wins, and observed buybox days. Use when the user asks 'what brands does this seller sell the most of', 'top brands for operator X', 'which brands make this seller the most money', or any brand-level operator drill-down by sales. For brand competition (fewest sellers) instead of sales, use operator_brands_by_competition. Input parameters: - `brand` (string): Exact brand (case-insensitive). - `brand_contains` (string) - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_asin_count` (number) - `max_est_revenue_30d` (number) - `max_est_units_30d` (number) - `max_observed_buybox_days` (number) - `min_asin_count` (number) - `min_est_revenue_30d` (number) - `min_est_units_30d` (number) - `min_observed_buybox_days` (number) - `operator_name` (string, required): Seller/operator name. - `sort` (string): Sort order: est_sales (estimated 30-day revenue, default), est_units, buybox_days (observed buybox days), or asin_count. ### `brand_similar` (~238 tokens) 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. Input parameters: - `brand` (string, required): Reference brand name (case-insensitive). - `brand_contains` (string): Only keep similar brands whose name contains this substring. - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_asin_count` (number) - `max_avg_price` (number) - `max_buybox_days_3m` (number) - `max_control_score` (number) - `max_seller_count` (number) - `min_asin_count` (number) - `min_avg_price` (number) - `min_buybox_days_3m` (number) - `min_control_score` (number) - `min_seller_count` (number): Only similar brands with at least this many unique sellers (3m). ### `brand_new_asins` (~419 tokens) 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). Input parameters: - `asin` (string): Exact ASIN match. - `asin_contains` (string) - `brand` (string, required): Brand name (case-insensitive). - `first_seen_from` (string): YYYY-MM-DD (since_days already bounds the lower edge). - `first_seen_to` (string) - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `last_seen_from` (string) - `last_seen_to` (string) - `latest_buybox_seller` (string): Exact most-recent buy-box seller (case-insensitive). - `latest_buybox_seller_contains` (string) - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_fulfillment_amz_dom_pct` (number) - `max_fulfillment_fba_pen_pct` (number) - `max_latest_price` (number) - `max_price` (number) - `max_seller_count` (number) - `min_fulfillment_amz_dom_pct` (number) - `min_fulfillment_fba_pen_pct` (number) - `min_latest_price` (number) - `min_price` (number) - `min_seller_count` (number) - `product_brand` (string): Exact product brand (case-insensitive). - `product_brand_contains` (string) - `product_title_contains` (string) - `since_days` (integer): How far back to look (default 30, max 180). ### `category_top_growers` (~295 tokens) Find brands in a category with the biggest recent growth in seller count and observations. Use when the user asks 'fastest growing brands in Toys', 'top growers in this category', 'which brands are trending up', or any category-scoped growth question. Input parameters: - `brand` (string): Exact brand match (case-insensitive). - `brand_contains` (string) - `category_id` (integer): Root category ID. - `category_name` (string): Category name (fuzzy match if category_id not provided). - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_obs_growth_pct` (number) - `max_prior_observations` (number) - `max_prior_sellers` (number) - `max_recent_observations` (number) - `max_recent_sellers` (number) - `max_seller_growth_pct` (number) - `min_obs_growth_pct` (number) - `min_prior_observations` (number) - `min_prior_sellers` (number) - `min_recent_observations` (number) - `min_recent_sellers` (number) - `min_seller_growth_pct` (number) - `since_months` (integer): Months to compare (default 3, max 6). Compares latest month vs earliest. ### `category_new_entrants` (~307 tokens) Find brands newly OBSERVED in a category — the first date our daily sampling saw the brand there falls in the window. An observation signal, NOT confirmed first-ever entry (sparse re-sampling can resurface a long-present brand as 'new'). Use when the user asks 'new brands in Electronics', 'what brands just entered this category', 'emerging brands in Toys', 'category new entrants'. Input parameters: - `brand` (string): Exact brand match (case-insensitive). - `brand_contains` (string) - `category_id` (integer): Root category ID. - `category_name` (string): Category name (fuzzy match if category_id not provided). - `first_observed_from` (string): YYYY-MM-DD lower bound on first-observed date. - `first_observed_to` (string) - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_asin_count` (number) - `max_avg_price` (number) - `max_buybox_days_3m` (number) - `max_seller_count` (number) - `min_asin_count` (number) - `min_avg_price` (number) - `min_buybox_days_3m` (number) - `min_seller_count` (number) - `since_days` (integer): How far back to look (default 30, max 180). ### `category_metrics` (~178 tokens) Return the full metric set for ONE category at any depth — a root OR a sub-category niche like 'Terrariums'. Covers demand (30-day revenue, units, velocity tier), competition (heat, diversity, brand/ASIN/seller counts), Amazon presence (retail dominance, private-label share, FBA penetration, 90-day brand expansion), price, ship-by days, and close-outs. Use for 'show me the metrics/stats for category X', 'how big is the X category', or to pull the numbers behind a niche question. Input parameters: - `category_id` (integer): Exact category id (any depth). - `category_name` (string): Category name (any depth, fuzzy). - `marketplace_id` (integer): 1=UK, 2=US, 3=Walmart. Default 2 (US). ### `evaluate_category_for_private_label` (~193 tokens) Assess whether a category or niche (ANY depth — e.g. 'Terrariums') is winnable for a NEW private-label brand. Use for 'is X winnable for private label', 'should I private-label X', 'is the X niche good for a new brand', 'can I launch my own brand in X'. Returns a per-signal pass/fail breakdown and a Strong / Moderate / Weak verdict based on Amazon's footprint, seller fragmentation, demand, and price band. Input parameters: - `category_id` (integer): Exact category id (any depth). - `category_name` (string): Category/niche name (any depth, fuzzy). - `marketplace_id` (integer): 1=UK, 2=US, 3=Walmart. Default 2 (US). - `verdict_in` (string): Comma-separated verdicts to keep (Strong/Moderate/Weak). ### `find_underserved_niches` (~541 tokens) Find UNDER-SERVED NICHES — real SUBCATEGORIES with genuine demand but room to compete, ranked by private-label winnability from 2-year marketplace data. Returns CATEGORIES / sub-categories (e.g. 'Wireless Earbuds', 'Cable Organizers'), NEVER brands. This is the RIGHT tool for ANY niche-discovery question: 'under-served niches', 'niches in ', 'find a niche to enter', 'what niche should I sell in', 'underserved categories', 'gaps in ', 'where's the opportunity in '. When the user names a department or category (e.g. 'electronics', 'home & kitchen'), pass it as category_name to scope the niches to that area. Do NOT use category_undercompeted_brands or find_undercompeted_brands for niche questions — those return BRANDS, not niches. Input parameters: - `category_id` (integer): Root category id to scope to (overrides category_name). - `category_name` (string): Department/category to find niches within (e.g. 'electronics', 'home & kitchen', 'pet supplies'). Omit for niches across all departments. - `competition` (string): 'low' (stricter Amazon-presence ceiling) or 'balanced' (default). - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_amazon_retail_share_pct` (number) - `max_avg_product_rating` (number) - `max_competing_brands` (number) - `max_monthly_demand_usd` (number) - `max_seller_diversity` (number) - `min_amazon_retail_share_pct` (number) - `min_avg_product_rating` (number) - `min_competing_brands` (number) - `min_monthly_demand_usd` (number) - `min_seller_diversity` (number) - `niche` (string): Exact niche (subcategory) name, case-insensitive. - `niche_contains` (string) - `pl_winnability_in` (string): Comma-separated verdicts to keep (Strong/Moderate/Weak). - `price_max` (number): Maximum average price USD (default 70 — the PL margin band). - `price_min` (number): Minimum average price USD (default 20 — the PL margin band). - `unhappy_shoppers` (boolean): Bias toward niches where shoppers are underwhelmed (a credible dissatisfaction gap = a PL opening). Default false. ### `asin_comparables` (~364 tokens) Find ASINs similar to a given ASIN by brand, price band, and seller count. Use when the user asks 'ASINs like this one', 'similar products', 'comparable ASINs', 'what else is like B08N5WRWNW', or any ASIN-level lookalike question. Each comparable carries product brand, title, price (or price range) and fulfillment (FBA/FBM/AMZ + amz/fba pct). Input parameters: - `asin` (string, required): Reference ASIN (e.g. B08N5WRWNW). - `buybox_seller` (string): Exact buy-box seller name (case-insensitive). - `buybox_seller_contains` (string) - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_days_observed` (number) - `max_fulfillment_amz_dom_pct` (number) - `max_fulfillment_fba_pen_pct` (number) - `max_price` (number) - `max_seller_count` (number) - `min_days_observed` (number) - `min_fulfillment_amz_dom_pct` (number) - `min_fulfillment_fba_pen_pct` (number) - `min_price` (number) - `min_seller_count` (number): Only comparables with at least this many distinct sellers. - `product_brand` (string): Exact product brand (case-insensitive). - `product_brand_contains` (string) - `product_title_contains` (string) ### `asin_buybox_history` (~550 tokens) Show which sellers have been winning the buybox for an ASIN over time, AND how the competing-seller pool has changed month over month. Returns a per-week breakdown of buybox winners; a monthly distinct-seller-count series (seller_count_monthly, trailing ~6 months) plus a seller_trend label (stable/rising/falling) so you can say whether the seller pool is stable or volatile (more sellers piling on vs consolidating); plus the ASIN's product brand, title and price (or price range) and its fulfillment (FBA/FBM/AMZ). Use when the user asks 'who has been winning buybox on this ASIN', 'buybox history for B08N5WRWNW', 'seller rotation', 'has the buybox owner changed', 'is the seller pool stable or volatile', 'are more sellers piling onto this listing', or any ASIN buybox/seller timeline. Input parameters: - `asin` (string, required): ASIN to look up (e.g. B08N5WRWNW). - `first_seen_from` (string): YYYY-MM-DD. - `first_seen_to` (string) - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `last_seen_from` (string) - `last_seen_to` (string) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_buybox_avg_price` (number) - `max_days_seen` (number) - `max_fulfillment_amz_dom_pct` (number) - `max_fulfillment_fba_pen_pct` (number) - `max_observed_buybox_days` (number) - `max_price` (number) - `max_seller_count` (number) - `min_buybox_avg_price` (number) - `min_days_seen` (number) - `min_fulfillment_amz_dom_pct` (number) - `min_fulfillment_fba_pen_pct` (number) - `min_observed_buybox_days` (number): Only sellers with at least this many observed buy-box days. - `min_price` (number) - `min_seller_count` (number) - `product_brand` (string): Exact product brand (case-insensitive). - `product_brand_contains` (string) - `product_title_contains` (string) - `seller_name` (string): Exact buy-box seller name (case-insensitive). - `seller_name_contains` (string) - `since_weeks` (integer): Weeks of history (default 26, max 52). ### `asin_profit_calc` (~206 tokens) Estimate whether an ASIN can hit a target profit margin given current buybox price, estimated FBA fees, and Amazon referral fee. Use when the user asks 'can I make money on this ASIN', 'profit calculator', 'margin estimate for B08N5WRWNW', 'is this ASIN profitable to sell', or any margin/profit question. Also returns product brand, title, price (or price range) and fulfillment (FBA/FBM/AMZ + amz/fba pct) for the ASIN. Input parameters: - `asin` (string, required): ASIN to analyze (e.g. B08N5WRWNW). - `cogs` (number): Your cost of goods in USD. If omitted, the tool estimates breakeven COGS. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `target_margin_pct` (number): Target profit margin percentage (default 20). ### `watchlist_delta` (~370 tokens) Show what changed on the user's sourcing watchlist since last check. Returns each tracked ASIN with its score delta plus product identity (brand, title, price or price range) and fulfillment (FBA/FBM/AMZ with amz/fba share). Use when the user asks 'what changed on my watchlist', 'watchlist updates', 'any changes this week', or any watchlist-status question. Input parameters: - `asin` (string): Exact ASIN match. - `asin_contains` (string) - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `limit` (integer) - `marketplace_id` (integer): Marketplace to scope to: 1 = Amazon UK, 2 = Amazon US (default), 3 = Walmart US. One marketplace per call. - `max_current_score` (number) - `max_fulfillment_amz_dom_pct` (number) - `max_fulfillment_fba_pen_pct` (number) - `max_previous_score` (number) - `max_price` (number) - `max_score_delta` (number) - `min_current_score` (number): Only tracked ASINs with current sourcing score >= this. - `min_fulfillment_amz_dom_pct` (number) - `min_fulfillment_fba_pen_pct` (number) - `min_previous_score` (number) - `min_price` (number) - `min_score_delta` (number) - `product_brand` (string): Exact product brand (case-insensitive). - `product_brand_contains` (string) - `product_title_contains` (string) - `since_days` (integer): How far back to look for changes (default 7, max 30). ### `watchlist_add_rule` (~358 tokens) 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. Input parameters: - `asin` (string): Specific ASIN to add. If provided, brand is ignored. - `asin_contains` (string) - `brand` (string): Brand name to find watchable ASINs for. - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_buybox_avg_price` (number) - `max_composite_score` (number) - `max_fulfillment_amz_dom_pct` (number) - `max_fulfillment_fba_pen_pct` (number) - `max_observed_buybox_days` (number) - `max_price` (number) - `min_buybox_avg_price` (number) - `min_composite_score` (number): Only candidates with sourcing composite score >= this. - `min_fulfillment_amz_dom_pct` (number) - `min_fulfillment_fba_pen_pct` (number) - `min_observed_buybox_days` (number) - `min_price` (number) - `product_title_contains` (string) ### `watchlist_stats` (~581 tokens) BULK report of key Amazon stats for the user's WHOLE watchlist in ONE call — every tracked ASIN in the workspace's sourcing watchlist for a marketplace, in a single pass. Use this report instead of looping a per-ASIN tool over the whole watchlist. Each tracked ASIN returns its composite sourcing score, distinct seller count, buy-box leader share, fulfillment (FBA/FBM/AMZ with amz/fba pct), product brand/title and price (or price range). Also returns a top-level summary across the whole watchlist (tracked total, scored count, average score, score buckets, Amazon-dominant / FBA-dominant counts, single-seller vs high-competition counts). Use when the user asks 'show stats for my whole watchlist', 'summarize my watchlist', 'which of my tracked ASINs are single-seller / Amazon-dominant / high-competition', 'score distribution of my watchlist', or any bulk watchlist overview. One call covers the entire watchlist — do NOT call a per-ASIN tool in a loop. Input parameters: - `asin` (string): Exact ASIN match. - `asin_contains` (string) - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `limit` (integer) - `marketplace_id` (integer): Marketplace to scope to: 1 = Amazon UK, 2 = Amazon US (default), 3 = Walmart US. One marketplace per call. - `max_amz_dominance_pct` (number) - `max_buybox_share_pct` (number) - `max_composite_score` (number) - `max_fba_penetration_pct` (number) - `max_price` (number) - `max_seller_count` (number) - `min_amz_dominance_pct` (number): Only ASINs with Amazon buy-box dominance >= this percent. - `min_buybox_share_pct` (number): Only ASINs where the buy-box leader's share >= this percent. - `min_composite_score` (number): Only tracked ASINs with composite sourcing score >= this. - `min_fba_penetration_pct` (number): Only ASINs with FBA penetration >= this percent. - `min_price` (number) - `min_seller_count` (number): Only ASINs with >= this many distinct sellers. - `product_brand` (string): Exact product brand (case-insensitive). - `product_brand_contains` (string) - `sort` (string): Sort order (all descending): score (composite sourcing score, default), seller_count (distinct sellers), buybox_share (buy-box leader share), amz_dominance, fba_penetration, or price. ### `watchlist_webwide` (~439 tokens) Bulk web-wide (open-web / off-Amazon) price + MAP findings across your whole watchlist, in one call — reads already-collected results, does not run a live scan. Returns every tracked ASIN with its open-web source count, cheapest off-Amazon price (+ the domain), how many web sources violate MAP, how many are unauthorized sellers, the Amazon buy-box anchor price, and how much cheaper the web is vs Amazon. ASINs not yet scanned show 0 sources / never-scanned. Use for 'where is my whole watchlist cheaper off Amazon', 'web-wide MAP across everything I track', or 'which tracked products are undercut on the open web'. For a live single-product cross-retailer check use find_product_across_web instead. Input parameters: - `asin` (string): Exact ASIN match. - `asin_contains` (string) - `domain_contains` (string): Substring match on the cheapest-source domain. - `limit` (integer) - `marketplace_id` (integer): Marketplace to scope the watchlist to: 1 = Amazon UK, 2 = Amazon US (default), 3 = Walmart US. - `max_cheapest_web_price` (number) - `max_web_source_count` (number) - `max_web_violation_count` (number) - `min_cheapest_web_price` (number) - `min_web_source_count` (number): Only ASINs with at least this many distinct open-web sources. - `min_web_violation_count` (number): Only ASINs with at least this many MAP-violating web sources. - `product_brand` (string): Exact product brand (case-insensitive). - `product_brand_contains` (string) - `sort` (string): Order: web_violations (most MAP breaches first), cheapest_web_price, web_savings_vs_amazon (biggest off-Amazon discount first), last_scan. - `unauthorized_only` (boolean): Keep only ASINs with one or more unauthorized web sellers. - `violations_only` (boolean): Keep only ASINs with one or more web MAP violations. ### `map_violations_today` (~290 tokens) Show active MAP (Minimum Advertised Price) violations for products in the workspace. Use when the user asks 'MAP violations', 'who is selling below MAP', 'price violations today', 'are there any MAP breaches', or any MAP-enforcement question. Input parameters: - `brand` (string): Filter to a specific brand. Omit for all workspace brands. - `brand_contains` (string): Substring match on brand (use `brand` for an exact match). - `first_seen_from` (string): YYYY-MM-DD. - `first_seen_to` (string) - `last_seen_from` (string) - `last_seen_to` (string) - `limit` (integer) - `max_map_floor_usd` (number) - `max_observed_price_usd` (number) - `max_violation_pct` (number): Maximum violation percentage below MAP. - `min_map_floor_usd` (number) - `min_observed_price_usd` (number) - `min_violation_pct` (number): Minimum violation percentage below MAP (default 0, meaning any violation). - `product_title_contains` (string) - `retailer_domain` (string): Exact retailer domain (case-insensitive). - `retailer_domain_contains` (string) - `retailer_name` (string): Exact retailer name (case-insensitive). - `retailer_name_contains` (string) ### `filter_operators_by_fba_share` (~341 tokens) Return operators whose FBA buybox share is below or above a threshold. FBA share is 0-100 (percentage). Use fba_share < 50 to find FBM-leaning operators (likely carrying real inventory) or fba_share > 80 for FBA-heavy flippers. Supports optional brand filter to narrow to operators selling a specific brand. Input parameters: - `brand` (string): Optional — filter to operators selling this brand. - `fba_share_op` (string, required): Comparison operator for FBA share threshold. - `fba_share_value` (number, required): FBA share threshold (0-100, percentage). - `limit` (integer) - `marketplace_id` (integer, required): 1 = Amazon UK, 2 = Amazon US (default) - `max_asins_touched` (number) - `max_avg_rating` (number) - `max_avg_rating_count` (number) - `max_brands_touched` (number) - `max_observed_buybox_days` (number) - `max_sold_30d_revenue` (number) - `min_asins_touched` (number) - `min_avg_rating` (number) - `min_avg_rating_count` (number) - `min_brands_touched` (number) - `min_observed_buybox_days` (number) - `min_sold_30d_revenue` (number) - `seller_name` (string): Exact seller/operator name (case-insensitive). - `seller_name_contains` (string) - `sort_by` (string): Sort column (default buybox_days). ### `filter_brands_by_fba_share` (~358 tokens) Return brands whose FBA buybox share is below or above a threshold. FBA share is computed as fba_buybox_days / total_buybox_days * 100 (percentage, 0-100). Use fba_share < 40 to find FBM-heavy brands (carriers hold real inventory) or fba_share > 80 for FBA-dominated brands. Supports sort by control_score (heat), unique_sellers, or brand_bought_past_month_30d. Input parameters: - `brand` (string): Exact brand match (case-insensitive). - `brand_contains` (string) - `fba_share_op` (string, required): Comparison operator for FBA share threshold. - `fba_share_value` (number, required): FBA share threshold (0-100, percentage). - `limit` (integer) - `marketplace_id` (integer, required): 1 = Amazon UK, 2 = Amazon US (default) - `max_amz_retail_dominance_pct` (number) - `max_asins_touched_3m` (number) - `max_control_score` (number) - `max_unique_sellers_3m` (number) - `max_winner_diversity` (number) - `min_amz_retail_dominance_pct` (number) - `min_asins_touched_3m` (number) - `min_control_score` (number) - `min_sourcing_score` (integer): Optional — minimum control_score (heat) filter. - `min_unique_sellers_3m` (number) - `min_winner_diversity` (number) - `sort_by` (string): Sort column (default control_score). ### `brands_in_operator_network` (~238 tokens) Find brands that share operators/sellers with a target brand. Returns brands ranked by how many operators they share. Use when the user asks 'what brands are in X's network?', 'brands related to Ninja', 'who else do Ninja's sellers carry?', 'brands in the same seller network', or 'brand family'. This reveals the operator graph — brands connected through shared distribution channels. Input parameters: - `brand` (string, required): The target brand to find network connections for. - `brand_contains` (string): Only keep related brands whose name contains this substring. - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_control_score` (number) - `max_observed_buybox_days` (number) - `max_seller_count` (number) - `max_shared_operators` (number) - `min_control_score` (number) - `min_observed_buybox_days` (number) - `min_seller_count` (number) - `min_shared_operators` (number): Only related brands sharing at least this many operators. ### `search_products` (~382 tokens) Free-text keyword search over Amazon product titles + descriptions. Use when the user names a PRODUCT TYPE or keywords (e.g. 'stainless steel water bottle', 'cat litter box', 'magnetic phone mount') rather than a specific brand, category, or ASIN. Returns the top matching products ranked by relevance with brand, price, 30-day demand, fulfillment (FBA/Amazon/FBM) and rating. Optional filters narrow the result by any returned field: product_brand, min/max_price, fulfillment_in (FBA/FBM/AMZ), min/max demand, and min/max rating. Input parameters: - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `keywords` (string, required): Free-text product keywords, e.g. 'stainless steel water bottle'. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default). Amazon only. - `max_demand_revenue_30d` (number) - `max_demand_units_30d` (number) - `max_fulfillment_amz_dom_pct` (number) - `max_fulfillment_fba_pen_pct` (number) - `max_price` (number) - `max_rating` (number) - `max_rating_count` (number) - `min_demand_revenue_30d` (number) - `min_demand_units_30d` (number) - `min_fulfillment_amz_dom_pct` (number) - `min_fulfillment_fba_pen_pct` (number) - `min_price` (number) - `min_rating` (number) - `min_rating_count` (number) - `product_brand` (string): Exact product brand (case-insensitive). - `product_brand_contains` (string) ### `shopping_search` (~559 tokens) PRIMARY consumer shopping tool — ALWAYS use this when a user asks what to BUY, which product to pick, or for the 'best' / 'cheapest' / 'best value' of something: 'best electric toothbrush', 'best graphics card under $50', 'which robot vacuum should I buy', 'cheapest standing desk', 'best coffee maker in 2026', 'recommend a cat litter box', 'best budget headphones'. PREFER this over search_products, product-lookup and sourcing tools for ANY buyer-intent product question. Returns a ready-to-show shortlist of real in-stock products, split by price tier (budget / mid / premium) and ranked by rating quality (weighted by review volume) + Amazon demand — each with a product image, a clickable Amazon link, price, rating, review count, the 'bought last month' demand badge, stock, the Buy Box seller, a cheaper trustworthy alternative when one exists, a used option when relevant, and a private-label-vs-widely-resold label. Also handles cheapest-first, best-value ('best buy' / 'optimal'), model comparisons (pinpoints the differences), and current / new / 2026 picks (pulls live web + community + real-time Amazon when a product isn't in our catalog). Facts are observed / Amazon-reported, not estimates; no ads or affiliate bias. (Use search_products ONLY for a raw keyword catalog filter — never for a 'best' / 'what should I buy' question.) Input parameters: - `attributes` (array): Tokens that MUST appear in the product title, e.g. ['3.5mm'] or ['5090']. - `category_hints` (array): Category words the right product lives in, e.g. ['instrument cables','audio cables']. - `exclude_terms` (array): Words indicating the WRONG product, e.g. ['ethernet','usb'] for an audio patch cable. - `keywords` (string): Core product keywords to search (product noun + essential attributes), no 'best'/brand. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default), 3 = Walmart US, 4 = Amazon CA, 5 = Amazon AU, 6 = Amazon DE. - `max_price` (number): Optional price ceiling. - `min_price` (number): Optional price floor. - `query` (string, required): What to buy, e.g. 'best electric toothbrush for sensitive gums'. - `sort` (string): 'best' = rating-first per class/tier (default); 'cheapest' = lowest-price-first; 'value' = best quality-per-dollar ('best buy'/'optimal'). Auto-detected from the query. ### `collect_asin_now` (~180 tokens) Pull a LIVE, on-demand snapshot of a single Amazon ASIN right now — current title, price, live offers and the sellers on the listing today — and return it alongside Webotee's historical brand and seller intelligence, including the ASIN's product brand, title and price (or price range) and its fulfillment (FBA/FBM/AMZ). Use when the user gives a specific ASIN and wants its CURRENT/today's data rather than the pre-collected dataset (e.g. 'check ASIN B0... right now', 'who's on this listing today and at what price'). Amazon US only; one ASIN per call. Input parameters: - `asin` (string, required): The 10-character Amazon ASIN to collect live (US). - `marketplace_id` (integer): Marketplace (2 = Amazon US). US only. ### `watchlist_add` (~179 tokens) 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 ...'. Input parameters: - `items` (array, required): Identifiers to add. - `list_type` (string, required): asin | brand | seller | niche - `marketplace_id` (integer): Marketplace (2 = Amazon US). - `name` (string, required): The list's label (e.g. 'Q4 arbitrage candidates'). ### `watchlist_remove` (~100 tokens) Remove items from a saved tracking list, or delete the whole list. Provide list_type + name; give items to drop just those, or omit items to delete the entire list. Use when the user says 'stop tracking ...', 'remove ... from my watchlist', 'delete my ... list'. Input parameters: - `items` (array): Items to remove; omit to delete the list. - `list_type` (string, required) - `name` (string, required) ### `watchlist_list` (~131 tokens) List the workspace's saved tracking lists (name, type, item count, whether a baseline is set). Use when the user asks 'what am I tracking', 'show my watchlists', 'my saved lists'. Input parameters: - `list_type_in` (string): Comma-separated list types to keep (asin/brand/seller/niche). - `max_item_count` (number) - `min_item_count` (number): Only lists with at least this many items. - `updated_at_from` (string): YYYY-MM-DD; only lists updated on/after this. - `updated_at_to` (string) ### `watchlist_diff` (~402 tokens) Show what changed on a saved tracking list versus its captured baseline — new sellers observed on the tracked ASINs and sourcing-score moves. Each changed ASIN also carries product identity (brand, title, price or price range) and fulfillment (FBA/FBM/AMZ with amz/fba share). Use when the user asks 'what changed on ', 'any updates on my watchlist', 'new sellers on the ASINs I track'. Re-run watchlist_add to reset the baseline to the current state. Input parameters: - `asin` (string): Only the change row for this exact ASIN. - `asin_contains` (string) - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `list_type` (string): Defaults to asin. - `max_current_score` (number) - `max_current_seller_count` (number) - `max_dropped_sellers` (number) - `max_fulfillment_amz_dom_pct` (number) - `max_fulfillment_fba_pen_pct` (number) - `max_new_sellers` (number) - `max_price` (number) - `max_score_delta` (number) - `min_current_score` (number) - `min_current_seller_count` (number) - `min_dropped_sellers` (number) - `min_fulfillment_amz_dom_pct` (number) - `min_fulfillment_fba_pen_pct` (number) - `min_new_sellers` (number): Only ASINs that gained at least this many new sellers. - `min_price` (number) - `min_score_delta` (number) - `name` (string, required): The list name to diff. - `product_brand` (string): Exact product brand (case-insensitive). - `product_brand_contains` (string) - `product_title_contains` (string) ### `set_cost_floor` (~170 tokens) Record the user's cost basis (landed unit cost) for an ASIN so later checks can flag when the buy box drops below their cost and compute true net spread; the saved/cleared confirmation also echoes the ASIN's product brand, title and price (or price range) and its fulfillment (FBA/FBM/AMZ). Use when the user says 'my cost on B0... is $12', 'set my cost basis', 'I pay $X for this'. One ASIN per call; pass cost 0 to clear. Input parameters: - `asin` (string, required): The 10-character ASIN. - `cost_floor` (number, required): Your landed unit cost (marketplace currency). 0 clears it. - `marketplace_id` (integer): Marketplace (2 = Amazon US). ### `operator_resells_what` (~491 tokens) The arbitrage sourcing feed: given an ASIN (or a seller/operator name), find the OTHER ASINs the operators on that listing also resell, ranked by sourcing fit (our composite sourcing score) then estimated 30-day sales. De-duped against the ASINs the user already tracks, so it surfaces NEW candidates. Use when the user says 'what else does this seller carry', 'find more like this from the same operators', 'arbitrage leads from this ASIN's sellers'. Each candidate ASIN also carries product brand, title, and price (or price range) plus its fulfillment (FBA/FBM/AMZ + amz/fba pct). Amazon US/UK. Optional filters (all default to no filter): min/max sourcing_score, est_units_30d, buybox_avg_price; resold_by_contains; the shared product/fulfillment block (product_brand, product_title_contains, min/max_price, fulfillment_in, amz/fba pct). Input parameters: - `asin` (string): An ASIN whose operators to expand from. - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_buybox_avg_price` (number) - `max_est_units_30d` (number) - `max_fulfillment_amz_dom_pct` (number) - `max_fulfillment_fba_pen_pct` (number) - `max_price` (number) - `max_sourcing_score` (number) - `min_buybox_avg_price` (number) - `min_est_units_30d` (number) - `min_fulfillment_amz_dom_pct` (number) - `min_fulfillment_fba_pen_pct` (number) - `min_price` (number) - `min_sourcing_score` (number): Only candidates with sourcing score >= this. - `operator_name` (string): Or a seller/operator name directly. - `product_brand` (string): Exact product brand (case-insensitive). - `product_brand_contains` (string) - `product_title_contains` (string) - `resold_by_contains` (string): Keep candidates resold by a seller whose name contains this. ### `operator_concentration` (~313 tokens) Operator concentration (HHI) across a set of ASINs or a brand's catalog — reveals when the same operator quietly controls many of the 'independent' listings. Returns the HHI, a concentration label, and the top operators with how many listings each dominates. Use for private-label fragmentation checks: 'how concentrated is this niche', 'who controls this brand's listings', 'is one operator running most of these'. Amazon US/UK. Optional filters (all default to no filter): min/max hhi (gates the whole analysis by its concentration index); on the top_operators list — operator (exact, case-insensitive) + operator_contains, min/max share_pct, min/max listings_controlled. Input parameters: - `asins` (array): ASIN set to analyze. - `brand` (string): Or a brand whose catalog to analyze. - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_hhi` (number) - `max_listings_controlled` (number) - `max_share_pct` (number) - `min_hhi` (number): Only return the analysis if its HHI >= this (else empty top_operators). - `min_listings_controlled` (number) - `min_share_pct` (number) - `operator` (string): Keep only this operator (exact, case-insensitive) in top_operators. - `operator_contains` (string) ### `operator_new_on_brand` (~432 tokens) Operators newly OBSERVED on a brand in a recent window — counted at BRAND level: a seller's FIRST observation anywhere across the brand's ASINs falls in the window. This is coverage-robust (a long-present seller was almost certainly seen on some ASIN earlier, so they correctly drop out) — a trustworthy directional 'new on the brand' count, not the inflated per-ASIN number. Still first-OBSERVED, not provably first-to-market. Returns each operator with first_observed, how many of the brand's ASINs we've seen them on, and whether still active. Use for 'who's new on ', 'who's newly showing up on my brand', 'recent sellers on '. Amazon US/UK. since_days already bounds first_observed below; optional filters (all default to no filter): operator (exact, case-insensitive) + operator_contains, first_observed_from/_to, min/max n_asins_on_brand, min/max total_days_seen, min/max observed_buybox_days, still_active (true/false). Input parameters: - `brand` (string, required): The brand to watch. - `first_observed_from` (string): YYYY-MM-DD lower bound on first_observed. - `first_observed_to` (string) - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_n_asins_on_brand` (number) - `max_observed_buybox_days` (number) - `max_total_days_seen` (number) - `min_n_asins_on_brand` (number) - `min_observed_buybox_days` (number) - `min_total_days_seen` (number) - `operator` (string): Exact operator/seller name (case-insensitive). - `operator_contains` (string) - `since_days` (integer): Window in days (default 30, max 180). - `still_active` (boolean): Keep only operators last seen within 7 days (true) or not (false). ### `operator_classifier` (~133 tokens) Label what kind of operator a seller is — amazon, brand-direct, likely-authorized-retailer, arbitrage, or reseller — from our cross-brand operator signals (how many brands they span, their fulfilment mix, their primary brand). Use when the user asks 'what kind of seller is this', 'is this an authorized retailer or an arbitrage seller', 'classify this operator'. Heuristic label, not a legal determination. Amazon US/UK. Input parameters: - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `operator_name` (string, required): Seller/operator name. ### `playbook_create` (~234 tokens) 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'. Input parameters: - `name` (string, required): The playbook's label. - `schedule` (string): Run cadence (default = template's or manual). - `scope` (object): Shared inputs for the steps, e.g. {"brand":"Nike"}. - `steps` (array): Custom ordered [{tool,args}] (instead of a template). - `template_key` (string): Built-in template to seed from. ### `playbook_list` (~148 tokens) List the workspace's saved playbooks (name, schedule, last run) and the built-in templates available. Use when the user asks 'what playbooks do I have', 'show my saved workflows', 'what automations are set up'. Input parameters: - `active` (boolean): Only active (true) or only paused (false) playbooks. - `last_run_at_from` (string): YYYY-MM-DD; only playbooks last run on/after this. - `last_run_at_to` (string) - `schedule_in` (string): Comma-separated cadences to keep (manual/daily/weekly). - `template_key_in` (string): Comma-separated template keys to keep. ### `playbook_run_now` (~63 tokens) Run a saved playbook right now and return its digest (also saved to the in-app inbox). Use when the user says 'run my playbook', 'check my brand watch now', 'run that workflow'. Input parameters: - `name` (string, required) ### `playbook_schedule` (~66 tokens) Set how often a saved playbook runs automatically (manual, daily, or weekly). Use when the user says 'run this weekly', 'schedule my playbook daily', 'stop the automatic runs' (manual). Input parameters: - `name` (string, required) - `schedule` (string, required) ### `find_product_across_web` (~411 tokens) Find where one product sits across the open web — a live cross-retailer price check — with every price anchored to Webotee's independently-observed Amazon buy-box. Give ONE identifier (asin, upc, gtin, or title + brand) and a mode: price_compare (default, all retailers vs the Amazon buy-box), cheaper (only sources below the buy-box), dropship (net margin after estimated Amazon fees), or supplier (wholesale-class sources). Returns each source's price, class, spread vs the buy-box, and a durability read from our 16-month history. The Amazon anchor also carries the product brand, title, and price (or price range) plus its fulfillment (FBA/FBM/AMZ + amz/fba pct). One product per call. Input parameters: - `asin` (string): Amazon ASIN (the strongest anchor). - `brand` (string): Brand (with title). - `currency_in` (string): Comma-separated currencies to keep (e.g. USD). - `gtin` (string): GTIN code. - `marketplace_id` (integer): Marketplace (2 = Amazon US). Default 2. - `max_dropship_net_margin` (number) - `max_price` (number) - `max_spread_vs_buybox` (number) - `min_dropship_net_margin` (number) - `min_price` (number): Only web sources priced >= this. - `min_spread_vs_buybox` (number) - `mode` (string): price_compare (default) | cheaper | dropship | supplier. - `source` (string): Exact merchant/source name (case-insensitive). - `source_class_in` (string): Comma-separated source classes to keep (retailer/marketplace/wholesale). - `source_contains` (string) - `title` (string): Product title (use with brand to resolve the ASIN). - `upc` (string): UPC code. ### `webotee_job_status` (~86 tokens) Check the status of a live Amazon refresh kicked off for an ASIN (returns its current snapshot when ready). job_id is the ASIN. Use after a tool says a live refresh is collecting. Input parameters: - `job_id` (string, required): The job id (the ASIN being refreshed). - `marketplace_id` (integer): Marketplace (2 = Amazon US). Default 2. ### `authorized_seller_set` (~134 tokens) Save the authorized sellers for a brand you own/manage — the whitelist that makes 'unauthorized seller' detection possible. The brand must already be tracked in this workspace. Use when the user says 'these are my authorized sellers for X', 'add Y to my authorized list', 'set my brand's approved resellers'. Pass the seller names exactly as they appear on Amazon. Input parameters: - `brand` (string, required): The brand (must be a tracked workspace brand). - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `sellers` (array, required): Authorized seller names to save. ### `authorized_seller_list` (~99 tokens) List the saved authorized sellers for a brand. Use when the user asks 'who are my authorized sellers for X', 'show my approved resellers', 'what's my whitelist for this brand'. Input parameters: - `brand` (string, required): The brand. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `seller_contains` (string): Only return saved seller names containing this substring (case-insensitive). ### `buybox_loss_alert` (~484 tokens) Find the ASINs where a brand you own has LOST the buy box to a seller outside your authorized list — ranked by estimated revenue at stake — so you can act on the costliest first. Each flagged ASIN carries its product brand, title and price (or price range) plus its fulfillment (FBA/FBM/AMZ). Save your authorized list first (authorized_seller_set) for precise flagging; without it, ASINs where a third-party operator holds the buy box are flagged. Use when the user asks 'where am I losing the buy box on ', 'buy-box loss on my ASINs', 'which of my listings did I lose'. Input parameters: - `asin` (string): Exact ASIN match. - `asin_contains` (string) - `authorized_sellers` (array): Optional. Your authorized sellers (else the saved list is used). - `brand` (string, required): The brand you own/manage. - `buybox_holder` (string): Exact current buy-box holder (case-insensitive). - `buybox_holder_contains` (string) - `fulfillment_in` (string): Comma-separated FBA/FBM/AMZ to keep. - `limit` (integer) - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `max_buybox_price` (number) - `max_est_revenue_at_stake_30d` (number) - `max_est_units_30d` (number) - `max_fulfillment_amz_dom_pct` (number) - `max_fulfillment_fba_pen_pct` (number) - `max_observed_buybox_days` (number) - `max_price` (number) - `min_buybox_price` (number) - `min_est_revenue_at_stake_30d` (number) - `min_est_units_30d` (number) - `min_fulfillment_amz_dom_pct` (number) - `min_fulfillment_fba_pen_pct` (number) - `min_observed_buybox_days` (number) - `min_price` (number) - `product_brand` (string): Exact product brand (case-insensitive). - `product_brand_contains` (string) - `product_title_contains` (string) ### `web_search` (~69 tokens) Search the web (Google, via Serper) for a query — returns title + link + snippet. Use for supplier / wholesale / distributor research and review-gap articles. Input parameters: - `count` (integer): Max results (default 10, cap 20). - `query` (string, required): The search query. ### `alibaba_supplier_search` (~87 tokens) Find Alibaba supplier / manufacturer listings for a query (via Serper site:alibaba.com) — returns title + rating + a supplier snippet + the Alibaba link. TEXT ONLY: no price or photo are available via this source (the user sees price / MOQ / photos on Alibaba after clicking). Input parameters: - `query` (string, required): The product / OEM query (brand-free for private label). ### `find_sourcing_opportunities` (~137 tokens) Given an Amazon ASIN, diagnose its business model (private-label / wholesale / arbitrage) and find real-world supplier, wholesale and arbitrage matches across the web, then return an HONEST sourcing read: a viability qualifier (green/yellow/red), the specific move + required differentiation, conservative economics, named risks (IP, tariffs, MOQ, saturation, gating, dropship policy) and validation steps. A credible lead generator, not get-rich advice. Scout+. Input parameters: - `asin` (string, required): The Amazon ASIN (10 chars). - `marketplace_id` (integer): Marketplace (2 = US). Default 2. ### `operator_buybox_losses` (~490 tokens) For ONE operator (seller), find the ASINs where it's losing the buy-box — it carries the listing but holds less than `max_buybox_share_pct` of the buy-box — ranked by estimated 30-day revenue at risk. Each leak returns who's winning the box, the operator's vs the winner's sanitized price and the gap, how many sellers are on the listing, a `situation` (price_gap | tied_price | amazon_in_box | reseller_swarm), a `suggested_action` (reprice_to_win | enable_fba | defend_match_only | evaluate_or_exit), and a `suggested_target_price` when the box is winnable on price. Totals include the recoverable price-gap-only revenue. Use when the user asks 'where is seller X losing the buy-box', 'X's buy-box leaks', 'which ASINs should X reprice', 'where is X leaving money on the table', or 'what's X's revenue at risk'. Sortable by revenue-at-risk (default), price gap, buy-box share, or listing revenue. Input parameters: - `exclude_amazon_in_box` (boolean): Drop ASINs where Amazon holds the box (you can't win those). - `fulfillment_in` (string): Comma-separated operator fulfillment to keep (FBA, FBM). - `limit` (integer): Leaks to return (default 25, max 100). This tool pages. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default). - `max_buybox_share_pct` (number): Only ASINs where the operator holds LESS than this share of the buy-box (0-1; default 0.75 — i.e. it's not dominating). - `min_est_revenue_30d` (number): Only ASINs with estimated 30-day listing revenue >= this. - `min_price` (number): Only ASINs whose listing price >= this (skip pennies). - `operator_name` (string, required): Seller/operator name. - `situation_in` (string): Comma-separated situations to keep (price_gap, tied_price, amazon_in_box, reseller_swarm). - `sort` (string): Sort the leaks: revenue_at_risk (default), price_gap_pct (biggest recoverable gap), buybox_share (lowest first), or listing_revenue. ### `my_products` (~197 tokens) The seller's OWN connected Amazon catalog fused with Webotee market intelligence. Each product shows EXACT account data (your price, your inventory, FBA/FBM, listing status) alongside OBSERVED/ESTIMATED market data (sourcing score, the observed market buy-box price, how many sellers are on the listing, estimated 30-day units, cross-marketplace spread) and a price_vs_market read (below_market / at_market / above_market). Requires a connected store (Starter+). Use when the seller asks about their own products, 'how am I priced vs the market', 'which of my products are under pressure', or 'show my catalog'. Input parameters: - `brand` (string): Optional — only products of this brand. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) - `sort` (string): Ordering: score (default), undercut, price, inventory. ### `my_store` (~126 tokens) Store-level summary of the seller's connected Amazon catalog: number of products tracked, distinct brands, FBA vs FBM split, total on-hand inventory units (EXACT, from the account), average Webotee sourcing score, how many products are currently undercut, and how many have a cross-marketplace (Walmart) opportunity. Requires a connected store (Starter+). Use for 'how is my store doing', 'summarise my catalog', or a dashboard overview. Input parameters: - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) ### `my_competitors` (~169 tokens) Who's competing with the seller on their OWN products. Pass an ASIN from your catalog to see the full competitor list for that listing (who wins the buy-box, FBA/FBM, observed price, how long they've been on it) plus your own buy-box / undercut status. Omit the ASIN to get your most-contested products (most competing sellers / where you're being undercut). Requires a connected store (Starter+). Use for 'who am I competing with', 'am I losing the buy-box', 'who else sells B0...', 'where am I under pressure'. Input parameters: - `asin` (string): Optional — a specific ASIN from your catalog. - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) ### `my_opportunities` (~111 tokens) What to source NEXT, adjacent to what the seller already sells. Seeds Webotee's undercompeted-brand and underserved-niche engines from the seller's OWN connected catalog (their dominant brands and categories), excluding brands they already carry. Requires a connected store (Starter+). Use for 'what should I source next', 'expand my catalog', 'adjacent opportunities', 'what else could I sell'. Input parameters: - `marketplace_id` (integer): 1 = Amazon UK, 2 = Amazon US (default) ## Diagnostics Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-webotee-amazon-product-research-mcp/app#diagnostics ## Score history - 2026-08-03: 73 - 2026-08-02: 73 - 2026-08-01: 72 - 2026-07-31: 72 - 2026-07-30: 64 - 2026-07-29: 65 - 2026-07-28: 64 - 2026-07-27: 64 - 2026-07-26: 63 ## Links - Remote endpoint: https://app.webotee.com/mcp - Repository: https://github.com/ncosic/webotee-mcp - Website: https://www.webotee.com/amazon-product-research-mcp - Changelog RSS feed: https://verifymcp.io/servers/com-webotee-amazon-product-research-mcp/app/changelog.xml - Changelog JSON feed: https://verifymcp.io/servers/com-webotee-amazon-product-research-mcp/app/changelog.json - HTML version of this page: https://verifymcp.io/servers/com-webotee-amazon-product-research-mcp/app