webotee.com

Evaluate a single ASIN for FBA sourcing.

Evaluate a brand for portfolio inclusion.

Map the competitive landscape for a brand or category root.

Risk + protection assessment for an ASIN or brand.

Cross-marketplace (Amazon vs Walmart) pricing comparison.

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).

Find brands experiencing high seller churn relative to their category.

Find categories where Amazon is retreating — net brand exits exceed entries over 90 days (amazon_expansion_net_90d < 0).

Find top brands by 90-day unit velocity (brand_velocity_90d_units_day).

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.

Find sellers (operators) expanding into the most NEW brands in a recent window.

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').

Given one or more operator (seller) names, return the brands they carry ranked by seller competition level.

Find brands with low seller competition but real sales presence.

ASIN-level buy-box head-to-head between two operators (sellers).

Show how a brand's buybox concentration has changed over time.

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).

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).

Show brands an operator recently started selling.

Show brands an operator recently stopped selling (churn signal).

Show which product categories an operator dominates.

Find brands where a single operator controls 100 percent of observed buybox days.

Check whether an operator sells on Amazon US, Amazon UK, and/or Walmart.

Check whether a brand sells on Amazon US, Amazon UK, and/or Walmart.

Find operators (sellers) we FIRST OBSERVED selling recently — their earliest observation in our data falls in the window.

Find brands where buybox concentration dropped over the last quarter — more sellers are entering, creating opportunity for new entrants.

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.

Show the ASINs an operator wins the buybox on most often, ranked by ESTIMATED 30-day sales by default.

Show the brands an operator sells the most of, ranked by ESTIMATED 30-day sales by default.

Find brands similar to a given brand by category, price tier, and competition level.

Show ASINs that recently appeared for a brand.

Find brands in a category with the biggest recent growth in seller count and observations.

Find brands newly OBSERVED in a category — the first date our daily sampling saw the brand there falls in the window.

Return the full metric set for ONE category at any depth — a root OR a sub-category niche like 'Terrariums'.

Assess whether a category or niche (ANY depth — e.

Find UNDER-SERVED NICHES — real SUBCATEGORIES with genuine demand but room to compete, ranked by private-label winnability from 2-year marketplace data.

Find ASINs similar to a given ASIN by brand, price band, and seller count.

Show which sellers have been winning the buybox for an ASIN over time, AND how the competing-seller pool has changed month over month.

Estimate whether an ASIN can hit a target profit margin given current buybox price, estimated FBA fees, and Amazon referral fee.

Show what changed on the user's sourcing watchlist since last check.

Resolve a natural-language watchlist request into concrete ASINs the user can add.

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.

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.

Show active MAP (Minimum Advertised Price) violations for products in the workspace.

Return operators whose FBA buybox share is below or above a threshold.

Return brands whose FBA buybox share is below or above a threshold.

Find brands that share operators/sellers with a target brand.

Free-text keyword search over Amazon product titles + descriptions.

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'.

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).

Create or add to a saved tracking list the user can monitor over time.

Remove items from a saved tracking list, or delete the whole list.

List the workspace's saved tracking lists (name, type, item count, whether a baseline is set).

Show what changed on a saved tracking list versus its captured baseline — new sellers observed on the tracked ASINs and sourcing-score moves.

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).

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.

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.

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.

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).

Save a reusable per-model research workflow (a 'playbook') the user can re-run or schedule.

List the workspace's saved playbooks (name, schedule, last run) and the built-in templates available.

Run a saved playbook right now and return its digest (also saved to the in-app inbox).

Set how often a saved playbook runs automatically (manual, daily, or weekly).

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.

Check the status of a live Amazon refresh kicked off for an ASIN (returns its current snapshot when ready).

Save the authorized sellers for a brand you own/manage — the whitelist that makes 'unauthorized seller' detection possible.

List the saved authorized sellers for a brand.

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.

Search the web (Google, via Serper) for a query — returns title + link + snippet.

Find Alibaba supplier / manufacturer listings for a query (via Serper site:alibaba.

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.

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.

The seller's OWN connected Amazon catalog fused with Webotee market intelligence.

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.

Who's competing with the seller on their OWN products.

What to source NEXT, adjacent to what the seller already sells.