Sorsa

Quick analysis of an Amazon product by ASIN: title, brand, current/90-day pricing, sales rank and estimated monthly sales, FBA fees and profit basics. Call this first whenever the user asks about a specific ASIN. Costs the user 1 analyse credit unless cached. Domain is the Amazon marketplace: GB, US, DE, FR, ES or IT.

Full analysis of an Amazon product by ASIN — everything in analyse_product plus seller/stock breakdown, buy-box history and variations. Slower and heavier than analyse_product; use when the user wants seller-level or historical detail in one shot. Costs 1 analyse credit unless the ASIN was analysed in the last 24 hours.

Current sellers and their stock levels for an Amazon ASIN. Call when the user asks who is selling a product, how many sellers there are, or how much stock competitors hold. Costs 1 analyse credit unless the ASIN was analysed in the last 24 hours.

Prices for the same ASIN across international Amazon marketplaces. Call when the user asks about cross-market price differences or EU arbitrage opportunities for a product. Costs 1 analyse credit unless the ASIN was analysed in the last 24 hours.

Calculate Amazon FBA profit and ROI for given sell/cost prices using the full fee engine (tiered referral fees, digital services tax, VAT on fees). Call for what-if questions like 'what would I make selling at £24.99 if I buy at £12?'. Prices are in the marketplace currency.

Resolve a barcode (EAN/UPC, 8-14 digits) to an Amazon ASIN. Call when the user gives a barcode instead of an ASIN, then feed the returned ASIN into analyse_product.

Search Amazon by product title via Keepa and return the top matching ASINs with thumbnails. Call when the user names a product without an ASIN or barcode; present the candidates and let them pick before analysing. limit is 1-10.

The user's remaining monthly analyse and AI credits and the reset date. Call when the user asks about their usage limits, or after a credit-limit error from an analysis tool.

Takes no parameters.

Search Sorsa's Amazon-to-Amazon (A2A) deal database — products found by the deal monitors with profit, ROI, sales rank and pricing. Call when the user asks for current deals, e.g. 'show me deals over £5 profit and 50% ROI'. Free to call. sort_field: timestamp, profit, roi_percentage, asin_rank or current_price.

The user's price-alert notifications from their A2A monitor tasks, grouped by task. Call when the user asks what alerts or notifications they have. show_checked: 'unchecked' (default), 'checked' or 'all'.

Mark one of the user's notifications as checked (reviewed) or unchecked. Call after the user says they've dealt with an alert, or to un-mark one.

Profitable online-arbitrage (OA) deals: retail products matched to Amazon listings with profit and ROI. Call when the user asks about OA or retail sourcing opportunities. sort: roi, profit, price, newest, sell, rank, monthly_sold or sellers.

Products found by the user's storefront monitors (tracking other sellers' Amazon storefronts), newest first. Call when the user asks what their storefront monitors have found; optionally filter to one store_id. Paginated — 'total' in the response is the full count, request further pages for more. per_page max 200 (keep small: rows are wide).

The user's Sorsa dashboard summary — headline stats across their monitors and results. Call for a general 'how's it looking' overview before drilling into specific feeds.

Takes no parameters.

List the user's ASIN price monitors (watched products with target prices). Call before creating one to avoid duplicates, or when the user asks what they're watching.

Takes no parameters.

Watch an ASIN and alert the user when its price drops to the target. Call when the user says things like 'watch this' or 'alert me if it goes below £20'. source is the marketplace: Amazon UK, Amazon DE, Amazon IT, Amazon ES, Amazon FR, Amazon US or Amazon Business UK.

List the user's A2A deal-monitor tasks (saved filters that generate notifications). Call before creating one, or when the user asks what monitors they have set up.

Takes no parameters.

Create an A2A deal-monitor task: the user gets notified whenever the deal feed finds products matching these filters. Call when the user says e.g. 'notify me about deals over £5 profit and 40% ROI in Toys'.

List the Amazon storefronts (competitor sellers) the user is monitoring. Call before adding one, or when the user asks which storefronts they track.

Takes no parameters.

Start monitoring another Amazon seller's storefront — new products they list will appear in the user's store results. storefront_id is the Amazon seller ID (e.g. A1B2C3D4E5F6G7, found in the seller page URL). Call when the user says 'track this seller'.

Summary stats for the user's storefront monitors (stores tracked, result counts). Call for an overview before drilling into get_store_results.

Takes no parameters.

The user's sourcing list — products they've found and are considering buying, with cost/profit projections and status. Call when the user asks about their buy list or sourcing pipeline.

Takes no parameters.

Add a product to the user's sourcing list (their buy list). Call when the user says 'add this to my buy list' — typically after analysing a product, passing through the numbers from the analysis. sourced_from is where they'd buy it (retailer/site).

Add an item the user has BOUGHT to their Items Purchased list (the next step after sourcing). Returns the created item incl. its `id` — use that id with generate_sku and create_listing. cost is per unit; sourced_from is the retailer/site they bought from. projected_sale_price: default this to the product's 90-day average price (from analyse_product) and tell the user what you've set — don't guess a price. It's what create_listing will list at unless changed.

Generate a SKU for a purchased item (from its title/cost/qty using the user's SKU convention) and save it to the row. Pass the `id` returned by add_purchase or shown in get_items_purchased. Do this before create_listing. Returns the item with its new listing_sku.

Create the Amazon listing for a purchased item — the final step. Requires the item to have an ASIN, a listing_sku (run generate_sku first) and a sale price. SALE PRICE RULE: set `sale_price` to the product's 90-day average price (from analyse_product) as a sensible default — but ALWAYS tell the user the price you're about to list at and get their OK first. Never invent a price. If sale_price is omitted, the item's existing projected_sale_price is used (and the call fails if it has none). fulfillment: AMAZON_EU (FBA) or DEFAULT (FBM). This creates a REAL live Amazon listing on the user's account.

Set the cost of goods (COG) for a SKU — the per-unit price the user paid. Feeds profit/ROI across the whole app and the repricer's floors. cost in the user's currency (e.g. £). Pass cost=0 or empty to clear it.

Items the user has actually purchased from their sourcing list, including listing status (SKU, listing errors). Call when the user asks what they've bought or about listing progress.

Takes no parameters.

The user's logged purchase history. timeframe: all, day, week, month or year. Call when the user asks what they've bought recently.

Purchase statistics: total spent, projected profit, items bought and ROI, broken down daily/monthly/yearly and by category and source. Call for questions like 'how much have I spent this month?'.

Takes no parameters.

The user's live FBA inventory: SKUs, quantities, conditions. Call when the user asks what stock they have or about a specific SKU/product they sell. Requires their Amazon account to be connected (closed beta).

The user's Amazon orders with fees and COGS-based profit. Call for questions like 'how are sales today?' or 'show orders for this SKU'. timeframe: today, yesterday, week, month; or use date_from/date_to (YYYY-MM-DD). Requires a connected Amazon account (closed beta).

The user's inbound FBA shipments with summary stats. Call when the user asks about shipments they've sent to Amazon. Requires a connected Amazon account (closed beta).

The line items inside one FBA shipment (expected vs received quantities). Call after get_fba_shipments when the user asks what was in a specific shipment or whether everything was received.

The user's FBA customer returns with dispositions (sellable, damaged, etc). Call when the user asks about returns. Requires a connected Amazon account (closed beta).

Refunds issued to the user's customers. Call when the user asks about refunds or money returned to buyers. Requires a connected Amazon account (closed beta).

Reimbursements Amazon has paid the user (lost/damaged stock etc). Call when the user asks what Amazon has paid them back. Requires a connected Amazon account (closed beta).

Totals of reclaimable money Sorsa has detected the user is owed by Amazon, broken down by claim type (shipment shortages, lost inventory, unreturned refunds...). Call for 'how much does Amazon owe me?'. Requires a connected Amazon account (closed beta).

Takes no parameters.

Individual reclaim opportunities with evidence — what to claim from Amazon and why. Call after get_reconciliation_summary to list the actual claims. status: open, dismissed, filed or all. Requires a connected Amazon account (closed beta).

The user's recent product analyses (ASIN, title, when). Call when the user asks what they looked at recently, or to re-find a product they mention having analysed. limit max 50.

List the retailers available in the OA deals feed. Call to know which retailer names are valid filters for get_oa_deals.

Takes no parameters.

What the user should reorder now. Per-SKU sales velocity vs stock on hand -> days of cover left, a suggested reorder quantity and its potential profit. Call for 'what should I restock?' or 'what's running low?'. lead_time_days = how long a resupply takes to land; cover_days = days of stock the reorder should provide. Requires a connected Amazon account.

Age profile of the user's on-hand FBA stock, bucketed by days on shelf (0-30, 31-90, 91-180, 181-365, 365+), with capital tied up and how much is aged 90+ days (long-term storage-fee risk). Call for 'what stock is old or at risk?' or 'how much capital is stuck in aged inventory?'. Requires a connected Amazon account.

Takes no parameters.

Per-SKU profit & loss for one calendar month: revenue, Amazon fees, COGS, refunds and net profit, plus account totals. Call for 'what was my profit in <month>?' or 'break down last month's P&L'. month is 'YYYY-MM'. Requires a connected Amazon account.

Per-SKU profitability over the last N days: units, revenue, profit, ROI, return rate, current price vs break-even and a selling-at-a-loss flag. Call for 'which products make or lose me money?' or 'what's selling below break-even?'. days 7-365. Requires a connected Amazon account.

The user's own top-selling ASINs by net profit for each of the last N months, derived from their sales. Call for 'what are my best sellers?' or 'top products this year'. months up to 24, top_n up to 50. Requires a connected Amazon account.

Check whether the user is allowed to sell (ungated for) one or more ASINs on their Amazon account. Call for 'am I ungated for this?' or 'can I sell these ASINs?'. Returns per-ASIN {state, gated, apply_link}. Uncached ASINs are queued for a fresh check, so re-call shortly for any still pending. Requires a connected Amazon account.

Start an A2A Finder scan: check a list of ASINs for profitable Amazon-to-Amazon flips across marketplaces (buy on one Amazon country, sell on another). Up to 100 ASINs. Optional `countries` = list of country codes to compare (e.g. ["UK","DE","FR"]); defaults to all. Uses the user's saved Keepa key if they've added one in settings; otherwise the shared scan key (which counts against their daily scan credits). Returns a job_id — poll get_a2a_finder_status(job_id) for results. Premium feature.

Status and results of an A2A Finder scan started with start_a2a_finder_scan. Returns progress % and, once complete, the profitable cross-marketplace flips found (per ASIN, per country).

List the user's recent A2A Finder scan jobs and their status. Call to find a job_id whose results to fetch.

Takes no parameters.

Whether the user has connected their own Keepa API key (needed for find_products). If not connected, tell them to add it in Sorsa Settings. Never returns the key itself.

Takes no parameters.

Search Amazon via Keepa's Product Finder and return the matching ASINs (up to 100). Runs on the USER'S OWN Keepa key — call get_keepa_key_status first; if not connected, tell them to add their key in Sorsa Settings. Provide at least one filter. Prices are in the marketplace's currency (e.g. £ for UK). marketplace: UK, US, DE, FR, IT, ES. Drop filters find items whose price fell by a % over a period — set any of drop_1d/7d/30d/90d (e.g. drop_30d=20 = 'dropped 20%+ in 30 days'), applied to drop_type: BUY_BOX_SHIPPING, AMAZON, or PRIME_EXCL. category is a Keepa root-category id (omit for all categories). Returns {count, asins[]} — analyse specific ones with analyse_product.

Create a LIVE Keepa Product Finder monitor from the same filters as find_products. It runs on the user's OWN Keepa key and sends a Discord alert to `webhook_url` whenever a NEW product starts matching the filters — the saved/recurring version of find_products. REQUIRED: a `name` for the monitor and a Discord `webhook_url` (https://…) — ALWAYS ask the user for their webhook URL; never invent one. The user must also have their Keepa key connected (call get_keepa_key_status first). Provide at least one filter (same semantics/units as find_products). This creates a real, active monitor that will start pinging the webhook — confirm with the user before creating it. Set active=False to create it paused.

Request an ungate check for one or more gated ASINs. For each ASIN this confirms it's gated (via the eligibility check) and, if so, QUEUES a job that the user's Sorsa browser extension works through — it opens the Seller Central approval request in their own logged-in session and reports the outcome. Returns per-ASIN results, each one of: 'not_gated', 'already_approved', 'checking' (eligibility still resolving — re-call shortly), 'recent_attempt', 'queue_full', or 'queued' with a `job_id` (and the brand's auto-approval rate when known). Jobs run STRICTLY ONE AT A TIME, ~daily-capped, and carry over across days — so a long list is fine; it just drains serially. The user needs their Amazon (SP-API) connected AND the Sorsa extension installed and online. After queuing, poll get_ungate_status(job_id) after a short wait (jobs are processed serially, each can take tens of seconds to a few minutes). Tell the user if their extension is offline (the response includes `extension_online`).

Status + outcome of an ungate job. Status is queued | in_progress | completed | failed | expired; outcome (when set) is approved, already_approved, documents_required, not_accepting_applications, login_required or unknown. While status is 'queued' or 'in_progress', CALL THIS AGAIN after a short wait (e.g. 20-40s) — the job is processed by the user's extension serially. For 'documents_required' the response also includes Amazon's requirements text, a `suppliers` list for the brand/category, and `suggested_asins` (easier wins in the same brand). For 'login_required', tell the user to log into Seller Central and retry.

Suppliers (manufacturers / authorised distributors / wholesalers that issue proper invoices) for a brand or category, with how many Sorsa users confirmed each one got them ungated for that brand. Provide a brand and/or a category.

The curated Sorsa ungate brand list (~1300 brands), each with a representative ASIN that can be run through request_ungate_check. Use this to look up the ASIN for a brand the user names (e.g. "can you ungate me for Adidas?" -> find Adidas here -> request_ungate_check([that asin])), or to enumerate/batch brands. Pass `search` to filter by brand substring. Returns {count, brands:[{brand, asin}]}. `count` is the full list size even when `search`/`limit` narrows the returned rows.

Record that a supplier's invoice got the user approved (ungated) for a brand. This increments that supplier's confirmation count for the brand so other users see which suppliers actually work.

Whether the user has connected their own Google Sheet (a deployed Apps Script web app) that run_sheet_action can trigger. If not connected, tell them to add their web-app URL in Sorsa Settings. Never returns the URL.

Takes no parameters.

Trigger a function on the user's OWN connected Google Sheet by POSTing to their deployed Apps Script web app. Call get_sheet_status first; if not connected, tell them to connect their sheet in Sorsa Settings. `action` is the name their script's doPost dispatches on (e.g. 'send_invoice', 'add_row'). `params` is a dict of values that action needs. The user's email is always sent automatically, so the script can target the right row/recipient. Only do what the user asked — don't invent actions or params. If you're not sure which action name or params the user's script expects, ASK them rather than guessing. Returns whatever the script returns.

Start a Wholesale Scanner run against a supplier price list. Each item in `products` is a dict with 'title', 'price' (cost per unit), and 'ean' (barcode — needed to match, the default scan is EAN-based). Up to 500 items. Matches each product to Amazon and returns profit/ROI. Returns a job_id — poll get_wholesale_status(job_id) for results. Premium feature.

Status and results of a Wholesale Scanner run. Returns progress % and, once complete, each supplier product matched to Amazon with sell price, profit and ROI.

List the user's recent Wholesale Scanner jobs and their status. Call to find a job_id whose results to fetch.

Takes no parameters.

Start a Reverse Source scan: for each ASIN, search Google Shopping for a cheaper source than Amazon — i.e. where to buy the product to flip it. Up to 250 ASINs. Uses the user's saved Keepa key if they've added one in settings; otherwise the shared scan key (which counts against their daily scan credits). Returns a job_id — poll get_reverse_source_status(job_id) for results. Premium feature.

Status and results of a Reverse Source scan started with start_reverse_source_scan. Returns progress % and, once complete, the cheapest Google Shopping source found per ASIN (retailer, price, link).

List the user's recent Reverse Source scan jobs and their status. Call to find a job_id whose results to fetch.

Takes no parameters.

The user's repricer SKUs with live pricing state: current price, Buy Box price, lowest FBA price, cost/min/max, strategy, computed profit/ROI at the current price, floor price and stock. Call when the user asks what the repricer is doing, whether they hold the Buy Box on something, or why an item isn't repricing. search matches SKU or ASIN. status filters to one of: active, off, out_of_stock, needs_cog, needs_min, awaiting_fees, error, or 'attention' (needs_cog + needs_min + error). limit max 500. Read-only.

Recent repricer price changes, newest first: SKU, old → new price, the reason, the reference price it repriced against (Buy Box / lowest FBA) and whether the floor or ceiling capped the move. Call when the user asks what the repricer changed recently or why a price moved. limit max 500.

Repricer dashboard summary: total/active SKU counts, per-status breakdown, Buy Box wins and win %, items matching the Buy Box exactly, units actively repricing and the last update time. Call first for broad questions like 'how's the repricer doing?'.

Takes no parameters.

The user's global repricer settings: whether repricing is globally enabled, seller ID, default strategy, default minimum ROI, allowed strategies and VAT registration. Read-only — changing settings is web-app only.

Takes no parameters.