- Brand
- HBJO Online
- Category
- Commerce
- Primary Subcategory
- Marketplace Seller, Dropship & Wholesale Tools
Integration details
Description
View the products, inventory, sales, customers and after-sales service cases in your Commerce 360 account. Get detailed analytics and plan your stock replenishment.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Marketplace Seller, Dropship & Wholesale Tools
- Secondary Subcategories
- None listed
- Brand
- HBJO Online
- Access
- Account required
- First tracked
- 2026-10-16
- Tool count
- 78
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
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Competing in ChatGPT Marketplace Seller, Dropship & Wholesale Tools
View Category78 tools agents can invoke
Use for anonymous aggregate identified/guest purchase shares, observed repeat buying and frequency; no customer identity is returned. Served customers are identified people with eligible period purchases; record creation is NOT a first purchase. Recurrence is observed in authorized shops and available history only, not complete lifetime RFM/CLV; history.complete is null. Example: 'How many repeat customers in September?' -> {from:'2026-09-01',to:'2026-09-30'}; 'Paris purchase behavior' -> {from:'2026-09-01',to:'2026-09-30',shop_ids:['SHOP-1']}. Preserve period/scope/shop filters in follow-up; named segments require separately authorized customer tools, never reconstruct identities from this aggregate.
analyze_purchase_behavior
Use for open workload, overdue promises and ready cases waiting across shops. Native summary and byStatus cover every authorized open case; only byShop is paginated. Done/cancelled excluded. Overdue excludes ready and compares promised company-local days; ready waiting requires proven transition and full 24-hour periods. Unknowns remain in coverage. as_of is current-read reference, not historical reconstruction. For individual cases use search_after_sales_cases with corresponding filters. Example: 'Current backlog' -> {}; 'Ready at least 15 days in SHOP-1' -> {shop_id:'SHOP-1',ready_min_days:15,page:1,limit:20}. No certain debt or supplier lead time follows.
analyze_after_sales_workload
Use for current articles by first-entry date or calendar age. Filters, ageDays and summary.age use initialInStockDate retained across transfers, never currentShopInStockDate. Age uses the API read-start Europe/Paris civil date, even when company timezone differs. Missing/future dates are counted separately and excluded from buckets/average; bands count articles and finite available units, not value. positive_available_only=true restricts the native population to known finite availability > 0 before summary and pages, independently of terminal state. Example: 'First entered last quarter' -> {entry_date_from:'2026-07-01',entry_date_to:'2026-09-30'}; 'Positive stock at least 365 days old' -> {min_age_days:365,positive_available_only:true,sort_by:'ageDays',sort_order:'desc',page:1,limit:20}. Follow pagination. No direct supplier/category/type or value-by-age-band filter; if authorized, resolve product IDs first. Current stock is not historical inventory.
analyze_stock_age
Use for known payment-method collections/refunds and separate credit, gift-card and deposit uses by SETTLEMENT date, not sale business date. All signed amounts are incl. tax even if amount_mode=exclTax. These known flows are not turnover, an exhaustive cash reconciliation or treasury close; totals.complete remains false even without explicit exclusions. Example: 'September payment mix' -> {from:'2026-09-01',to:'2026-09-30'}; 'Payments in Paris' -> {from:'2026-09-01',to:'2026-09-30',shop_ids:['SHOP-1']}. For source entries use list_payment_entries only if separately available/authorized; preserve context and inspect coverage warnings.
analyze_payment_methods
Use for co-purchase evidence in reliable initial baskets, optionally anchored to a proven product ID. pairTickets counts co-occurring tickets; support divides by ALL eligible baskets, while confidenceAtoB and confidenceBtoA divide by baskets containing A or B respectively. From/to confidence sorts are oriented from/to product_id, not alphabetical productA/productB. Filtered rows do not change global basket denominators. Later returns do not erase an initial pair; observed cancellations exclude baskets. Low counts are weak evidence, not individual purchase probabilities. Example: 'Top product pairs' -> {from:'2026-09-01',to:'2026-09-30',sort_by:'occurrences'}; 'What is bought with PROD-1?' -> {from:'2026-09-01',to:'2026-09-30',product_id:'PROD-1',sort_by:'confidenceFrom'}. On HTTP 413 narrow the period/shops; do not invent a top list. Continue pages with unchanged filters.
analyze_products_bought_together
Choose this only for one to 20 already-resolved product IDs to review online publication, operational availability, physical anomalies and missing commercial data. It fetches light product references with visibility=all (including references without items), then at most three filtered pages of /stock/articles with state=all so terminal items with physical quantity are not hidden. It never uses availableOnly=false as an out-of-stock filter. A no-article or no-availability conclusion requires all filtered stock pages; when the cap, time budget or a source read prevents that, absent rows mean unknown. Offline with available stock may be an intentional publication choice, not an error. Null sale price is missing; zero sale price is known. No catalogue update is made. Example: 'Audit these two product IDs' -> {product_ids:['PROD-1','PROD-2']}; 'Audit only Paris stock, one page first' -> {product_ids:['PROD-1'],shop_ids:['SHOP-1'],max_stock_pages:1}. Use search_products to resolve IDs and get_stock_availability for a selected item or follow-up page; preserve exact filters.
audit_catalog_availability
Use for a single native dimension: shops, sellers, company-local day, ISO week, month, historical status/action or current supplier/category/product type. Aggregation and sorting happen over all authorized facts before group pagination; summary and coverage remain whole-period. Use explicit sort_by for complete turnover, excluding-tax margin/cost or gross/net quantity; omitted sort ranks known turnover. Current classifications can be unclassified; historical sales amounts do not imply historical classifications. Group tickets/distincts may overlap and are not additive; seller contribution is not productivity. dimension='seller' also resolves native attributed seller IDs for article listings: find the named seller across group pages in the same company/shops/period, confirm homonyms, then use inspect_sales_activity with grain='line', seller_id=data[].id and line_type='product'. An unknown group with id=null is not a selectable seller. Do not scan sale documents to resolve or filter a seller. Example: 'Turnover by shop in September' -> {from:'2026-09-01',to:'2026-09-30',dimension:'shop'}; 'Top suppliers by margin' -> {from:'2026-09-01',to:'2026-09-30',dimension:'supplier',sort_by:'marginExclTax',sort_order:'desc',page:1,limit:20}. Continue pages with unchanged filters; use get_sales_summary for basket median without groups.
analyze_sales_breakdown
Use only after resolving one to 20 distinct product IDs for sales during an inclusive period against CURRENT available stock. One native product-sales aggregate and one current stock-summary aggregate are read at the same authorized company/shop scope; no catalogue or sale scan. Join only proven product IDs at product grain, never multiply one product turnover across size/item rows. The sales summary and coverage remain GLOBAL to the period even with product_ids; use each group for product figures. A missing/unresolved group stays null, not zero. Indicative available-units/gross-sales pace is withheld for unknown/unlimited stock or non-positive/unknown demand; it is not historical rotation, sell-through, GMROI or a reorder instruction. Example: 'Sales and stock for these rings' -> {product_ids:['PROD-1','PROD-2'],from:'2026-08-01',to:'2026-08-31'}; 'Only authorized Paris shops' -> {product_ids:['PROD-1','PROD-2'],from:'2026-08-01',to:'2026-08-31',shop_ids:['SHOP-1']}. Use get_stock_availability for exact item/size detail when authorized.
analyze_product_performance
Choose this for two explicit inclusive business-date periods with identical authorized company, shops, tax mode, fact scope and retrocession policy. Two native activity reads are mandatory; dimension adds at most one 20-group breakdown page per period, never a scan. Whole-period turnover and excluding-tax margin deltas are computed only from complete source values. Percent growth is null with a reason when the prior base is unknown, zero or negative. Duration differences and non-atomic read times are explicit. A failed period or breakdown is partial, not zero; first-page group comparisons cannot prove a full contribution if either page continues. Do not average shop baskets/ratios or claim causality. Example: 'August versus July turnover' -> {current_from:'2026-08-01',current_to:'2026-08-31',previous_from:'2026-07-01',previous_to:'2026-07-31'}; 'Compare Paris shop contribution' -> {current_from:'2026-08-01',current_to:'2026-08-31',previous_from:'2026-07-01',previous_to:'2026-07-31',dimension:'shop'}. Use analyze_sales_breakdown for further pages if authorized.
compare_sales_periods
Use to count customers meeting inclusive signed period-spend and minimum-purchase filters without returning names, customer IDs or contacts. Requires sales:read and customers:read. Signed net turnover uses business movement dates, including returns of earlier purchases, cancellations, SAV and modifications; it is not payments or lifetime value. Zero eligible purchases are allowed. Unknown complete amounts never qualify by known subtotal. Only customers with attributable period activity are candidates, even for a zero threshold. Archives are observed, not certified complete; read history.byShop and coverage warnings. Identity and optional contacts are current; no marketing action or inferred consent. Official summary is global, never a page subtotal. Example 1: 'How many customers spent at least 1000 in September?' -> {from:'2026-09-01',to:'2026-09-30',min_spend:'1000'}; Example 2: 'Count period activity with net between -500 and 0' -> {from:'2026-09-01',to:'2026-09-30',min_spend:'-500',max_spend:'0',min_purchases:0}. Use list_customers_by_spend for a bounded native rank; file/client delivery remains unvalidated.
analyze_customer_spend
Use this read-only tool to learn which Commerce 360 companies and shops this authenticated connection can currently access and which read capabilities are available for each company. It takes no arguments and needs no business scope. Use it before company-scoped stock, sales or replenishment questions when the company or shop ID is unknown. If several companies are returned, ask the user to choose; do not pick the first. If a capability is false, do not treat that business read as available. A true capability is only an informational snapshot, not a grant or proof that any record exists; each later API call checks rights again. No pagination, stock totals, sales amounts or historical authorization are returned. Example 1: User asks 'Which shops can I analyze?' -> call with {} and present the company and shop IDs. Example 2: User asks 'Why can't I see sales for Lyon?' -> call with {}, inspect that company's salesRead/statisticsSalesRead and shops, then explain the observed scope or assignment; do not change permissions.
get_connection_context
Use before filtering by metal, stone, size or another characteristic: resolve the configured ID, form and type rather than guessing a free-text code. A definition's presence does not prove any article has a value. Example: 'Which item characteristics represent size?' -> {form:'item'}; 'List ring characteristics and their values' -> {category_id:'CAT-RINGS',include:['values']}.
list_characteristics
Use directory mode for a bounded customer list filtered by name/text, home shops, company, type, guest state, update time, recorded consents, contact presence and observed purchases. Purchase criteria or include=purchaseStats need sales:read and every company history shop including closed shops; guest=true cannot be combined with purchase criteria, purchaseStats, from/to or amount_mode because native purchase readers exclude guests. Last purchase before is exclusive, after inclusive. purchaseStats includes signed Statistics net spend at business movement dates; from/to is a paired inclusive amount window, otherwise observed history through as_of. Presence filters need customers:pii:read. Metadata records the effective scope and unknown history; no implicit 24-month rule. Use export_customers for a complete private extraction. Use identity mode only with a specific identity criterion and customers:pii:read. Directory without a filter is refused to avoid a broad extraction. Rows are candidate records, not a fuzzy cross-company merge; never select the first namesake silently. Directory contact coordinates are withheld even when the token has PII rights; use an exact profile lookup if authorized. Example: 'Customers named Martin' -> {mode:'directory',search:'Martin',page:1,limit:20}; 'Find customer number C-123 exactly' -> {mode:'identity',customer_number:'C-123',match_mode:'exact'}. Ask for disambiguation if several IDs match; reuse the selected uuid for get_customer_profile or get_customer_purchase_summary if authorized.
search_customers
Use to locate sale documents by exact or partial number, creation instant, authorized customer ID, seller_id, current status/action or shop before reading a document. seller_id selects the seller recorded on the current/history document before count and pagination; it is not the native Statistics sale/order/SAV attribution used by inspect_sales_activity grain=line. Pagination covers documents only; it is not signed turnover and creation dates are not sales business dates. Customer contact fields are not requested. Example: 'Find V-2026-00184' -> {number:'V-2026-00184',page:1,limit:20} and check the public ID before detail; 'Documents recorded for seller SELLER-1 in Paris' -> {seller_id:'SELLER-1',shop_id:'SHOP-1',page:1,limit:25} and continue pages with the same filters, not as a period turnover total. Use get_sales_summary for turnover or inspect_sales_activity for signed facts and Statistics seller attribution.
search_sales
Direct read-only GET /v1/products/{productId}. Returns one product reference by public product id, with optional characteristics, media, prices, stock and items. Use after list_products_v1 when the user needs full product detail.
get_product_v1
Direct read-only GET /v1/product-items/{itemId}. Returns one physical item by public item id with price, promotion, availability and optional product, characteristics, media, shop, category or supplier relations.
get_product_item_v1
Direct read-only GET /v1/sales/{saleId}. Returns one sale with requested non-customer relations such as items, payments, discounts, shop, seller, invoice, or origins. Customer identity and contact details are intentionally redacted.
get_sale_v1
Get full read-only details for one HBJO reference using reference, reference_uuid, reference_id, or article_code. Returns catalogue fields, supplier, stock status, and all articles.
get_reference_details
Get stock availability for one HBJO reference or article, optionally filtered to one shop. Use this for direct questions like 'combien reste-t-il de cette référence ?'.
get_reference_stock
Compute finite stock value for one HBJO reference or article, optionally filtered to one shop. Uses article price times stockAvailable.
get_reference_stock_value
Direct read-only GET /v1/sales/{saleId}/invoice. Returns official invoice metadata, totals, issue date, status, number, and whether the PDF is available. It does not download the binary PDF.
get_sale_invoice_v1
Return an operational stock dashboard: reference/article counts, recent entries, stale stock, stock statuses, and anomaly counts. Use this for broad questions like 'fais un état du stock'.
get_stock_operations_summary
Use this for a bounded current-stock material breakdown of one to ten resolved products, not a metal valuation or historical inventory. Resolve material definition/value IDs with list_characteristics and list_characteristic_values; material_filter optionally pushes an exact typed filter to stock/articles before item enrichment. At most three 100-row pages from start_page are read, then item IDs in 50-row batches. Material groups may overlap. Weight requires item-level material, numeric per-unit weight and unit in the same characteristic group plus explicit merchant-confirmed field semantics; the MCP cannot independently certify that convention. No theoretical product weight, metal-fineness conversion or price feed. Example: 'Group ring stock by configured metal' -> {product_ids:['PROD-1'],characteristic_code:'METAL'}; 'Inspect one proven material value from page two' -> {product_ids:['PROD-1'],characteristic_code:'METAL',material_filter:{characteristic_id:'CHAR-1',value_id:'VALUE-1'},start_page:2}. Only observations from returned pages are grouped; use nextStockPage with unchanged filters if present.
analyze_stock_materials
Use for a known product/item or bounded page of current physical stock, allocations, raw balance, floored availability, operational flags and native anomalies. state:active hides terminal rows, not zero availability. positive_available_only=true selects known finite availability > 0 before totals/pagination; false removes that filter, not its inverse. Unknown finite physical quantity is natively treated as zero and flagged; unlimited quantity is null. Availability is not historical inventory and first entry is not current-shop arrival. Example: 'How many ITEM-1 remain?' -> {item_id:'ITEM-1'}; 'Positive finite stock of PROD-1 in Paris' -> {product_id:'PROD-1',shop_ids:['SHOP-1'],positive_available_only:true,page:1,limit:20}. Continue native pages; summary is the full filtered population. Use list_stock_anomalies for proven source anomalies and get_stock_value_summary for valuation/productShop grouping. High quantity alone is not proof of incorrect stock.
get_stock_availability
Use for an identified sale's items, payments, discounts, shop, seller, invoice or origins, not for a period aggregate. Request only necessary relations. paymentsEvidence=historical_unknown is not proof of an unpaid balance; a similar item label is not a proven historical product join. Customer-credit details in payments are withheld without customer-credits:read; no customer contact relation is requested. Example: 'Show SALE-1' -> {sale_id:'SALE-1'} and read its document status/amounts; 'Explain its lines and payments' -> {sale_id:'SALE-1',include:['items','payments','discounts']} and check IDs and payment evidence. For signed period facts use inspect_sales_activity; for the official invoice use get_sale_invoice.
get_sale_details
Use for traceable signed sales facts over inclusive company-local business dates, including articles sold by an identified seller without scanning sale documents. grain='movement' returns entire movement amounts; grain='line' returns line amounts, persisted product/article IDs and current proven reference code/name. For a seller name first use analyze_sales_breakdown with dimension='seller', same company/shops/period, continue its group pages and confirm the exact seller ID; never silently choose a homonym. Then pass seller_id with grain='line', usually line_type='product'. Both filters are applied natively before counting/pagination. Attribution follows the same sale/order/SAV rules as seller breakdown, not the cashier's name. Product lines retain signed returns/cancellations; do not call gross positive lines net sales or sum only the first page. Unknown amounts/quantities remain null; labels are current, not historical. A product-filtered movement still carries the entire movement amount, never that product's share. A line's payment component is not a payment allocated to a product. nextCursor expires after 15 minutes, is bound to principal, rights, company, shops, all filters and limit; corrections can affect later pages. Example: 'Movements for SALE-1' -> {grain:'movement',from:'2026-09-01',to:'2026-09-30',sale_id:'SALE-1'}; 'Articles sold by the confirmed seller SELLER-1 this year' -> {grain:'line',from:'2026-01-01',to:'2026-10-06',seller_id:'SELLER-1',line_type:'product',limit:100}. Continue every cursor page with unchanged arguments; report incomplete coverage if stopped. Use get_sales_summary for whole-period totals, search_product_items for explicit bounded article enrichment, and list_payment_entries for settlement dates.
inspect_sales_activity
Direct read-only GET /v1/catalog/changes. Returns incremental catalogue changes since an ISO date-time for products, product-items, categories, characteristics, or shops. Use this for questions about what changed since a date.
list_catalog_changes_v1
Direct read-only GET /v1/catalog/products. Returns the complete e-commerce catalogue feed with products, product items, prices, media, stock, shops, suppliers, updatedAt and pagination. Use this for native V1 catalogue fields or catalogue synchronization questions.
list_catalog_products_v1
Direct read-only GET /v1/categories. Returns catalogue categories, optionally filtered by parent, product type, online display or second-hand status, and can include child categories. Use for category filtering and navigation questions.
list_categories_v1
Direct read-only GET /v1/characteristics/{characteristicId}/values. Returns allowed or used values for one characteristic, optionally scoped to product type, category or available stock.
list_characteristic_values_v1
Direct read-only GET /v1/characteristics. Returns product and item characteristic definitions, optionally filtered by product type, category, display flag or form context, and can include referential values.
list_characteristics_v1
Direct read-only GET /v1/product-items. Searches physical items globally with stock availability, price range, promotion, second-hand, product, shop, supplier, product type, category, updatedSince and include filters. Use this for article-level questions across the stock.
list_product_items_v1
Direct read-only GET /v1/products/{productId}/items. Returns physical items attached to one product, with availability, shop, promotion, updatedSince and optional characteristics/media/shop relations. Use when the user asks for item-level stock for one known product.
list_product_items_for_product_v1
Direct read-only GET /v1/product-types. Returns product types, optionally with categories and characteristics. Use this to discover product families before filtering products or characteristics.
list_product_types_v1
Direct read-only GET /v1/products. Searches and filters product references by text, online display, availability, updatedSince, supplier, product type, category, shop and optional include relations. Use this to find product IDs before requesting full product or item details.
list_products_v1
Direct read-only GET /v1/sales. Use to find documents by creation date, shop, status, action, number, customer public ID or seller_id. The seller is recorded on the current/history document, not the native Statistics sale/order/SAV attribution used by inspect_sales_activity grain=line. It filters before count and pagination, not signed turnover. Customer names and contact details are intentionally redacted. Example: 'Documents recorded for seller SELLER-1' -> {seller_id:'SELLER-1',page:1,limit:25}; 'Their next Paris page' -> {seller_id:'SELLER-1',shop_id:'SHOP-1',page:2,limit:25}, keeping all filters unchanged. Prefer search_sales for the canonical reader and dedicated sales analysis tools for totals.
list_sales_v1
Direct read-only GET /v1/shops. Returns Commerce 360 shop referential data. Use this when the user needs official shop IDs or wants to choose a shop filter.
list_referential_shops_v1
List suppliers found in HBJO references, optionally filtered by supplier name, short name, or UUID. Use this before supplier-specific catalogue searches.
list_suppliers
Use to discover the actual hierarchy and category IDs before filtering products or stock. Do not derive an authoritative category from a product label. Example: 'Which categories are under rings?' -> {parent_id:'CAT-RINGS'}; 'Which second-hand categories exist?' -> {is_second_hand:true,include:['children']}.
list_categories
Use to find configured product-type IDs and optional categories/characteristics. Types vary by jeweler and should not be inferred from generic jewelry terms. Example: 'List types' -> {}; 'Show online types and their characteristics' -> {displayed_online:true,include:['characteristics']}.
list_product_types
Use for dated signed settlement entries, optionally linked to one sale, when aggregated payment-method totals are insufficient. Business dates are settlement dates, not sale creation dates; values are incl. tax and credit/gift-card/deposit use is not new cash. Neither product_id nor payment-method filter exists, and payments must never be attributed to a product. Cursor pages are not complete totals; keep principal, rights, shops, filters, scope and limit unchanged across continuation, and restart after expiry (15 minutes). Example: 'Payments for SALE-1' -> {from:'2026-09-01',to:'2026-09-30',sale_id:'SALE-1'} and inspect known settlement entries; 'Known Paris payments this month' -> {from:'2026-09-01',to:'2026-09-30',shop_ids:['SHOP-1'],limit:50} and continue while nextCursor exists. For native payment mix totals use analyze_payment_methods; this is not turnover or a bank reconciliation.
list_payment_entries
Use to inspect native source anomalies: negative physical quantity, over-allocation, terminal stock, allocated terminal items, missing finite physical quantity or missing cost. One item may have several anomaly categories; do not add category counts as distinct items. Zero cost is known, not missing. This is not an online-publication audit and never fixes data. Example: 'Find overallocated items' -> {category:'over_allocated'}; 'Anomalies for PROD-1' -> {product_id:'PROD-1',page:1,limit:20}. Keep the summary's full filtered population separate from the page and inspect a matching item with get_stock_availability if needed.
list_stock_anomalies
Use this read-only official shop referential to find shop IDs, names, short names and cities, including shops with no current stock. A shop in this referential is not necessarily accessible for every business call; use get_connection_context to check the authenticated assignment. Example: 'Which shops are active?' -> {active_only:true}; 'List also inactive shops' -> {active_only:false}. Homonyms require disambiguation by ID.
list_shops
Use after resolving a characteristic ID to learn configured or used values and IDs for a typed stock filter. A possible value is not evidence that it is present in current stock. Example: 'Which sizes are configured?' -> {characteristic_id:'CHAR-SIZE'}; 'Which sizes occur in available rings?' -> {characteristic_id:'CHAR-SIZE',category_id:'CAT-RINGS',used_only:true,available_only:true}.
list_characteristic_values
List articles whose inStockDate is in a date range. Use this for questions like 'articles entered in stock in the last 3 months'. If the user says last 3 months, use last_days=90.
list_recent_stock_entries
List HBJO references by computed stock status: available, out_of_stock, or unlimited. Use this for questions about ruptures, available stock, or unlimited references.
list_references_by_stock_status
List available articles whose inStockDate is older than a threshold. Use this for dormant/old stock questions, for example stock older than 12 months.
list_stale_stock
Break down finite stock value by HBJO shop. Use this for questions about stock value per boutique or store.
list_stock_value_by_shop
Break down finite stock value by HBJO supplier. Use this for supplier valuation, vendor exposure, or stock value ranking by supplier.
list_stock_value_by_supplier
List HBJO references ranked by finite stock value, highest first. Use this to identify the most valuable references in stock.
list_top_stock_value_references
Commerce 360 ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Commerce 360's ChatGPT Plugin discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Commerce 360 alternatives on ChatGPT?
As of 2026-10-16, Commerce 360 competes with Adzviser Amazon Seller Central, Catalog CLI Pro, DataGlass, Dropshipping Product Scout, El Tasador - Soluna, First FMCG, Flippo AI, Floaro and 17 more in ChatGPT Marketplace Seller, Dropship & Wholesale Tools, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.