Insights
/v1/insights/ltvScope: insights:read. MCP tool: get_lifetime_value.
See total and average customer spending, with a breakdown by spend range.
Authorization
bearerAuth In: header
Response Body
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curl -X GET "https://example.com/v1/insights/ltv"{ "scope": "string", "total_revenue": "string", "customer_count": 0, "average_ltv": "string", "currency_code": "string", "distribution": [ { "label": "string", "min": 0, "max": 0, "customer_count": 0 } ]}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}/v1/insights/ltv-by-yearScope: insights:read. MCP tool: get_lifetime_value_by_year.
See total completed-order revenue per calendar year for the last 5 years, in the primary currency.
Authorization
bearerAuth In: header
Response Body
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curl -X GET "https://example.com/v1/insights/ltv-by-year"{ "scope": "string", "currency_code": "string", "coverage_from": "string", "years": [ { "year": 0, "total_revenue": "string" } ]}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}/v1/insights/rfmScope: insights:read. MCP tool: get_rfm_tiers.
See customer groups based on how recently they bought, how often they buy and how much they spend. Use as_of as the date for measuring time since the last purchase; the default is now.
Authorization
bearerAuth In: header
Query Parameters
Response Body
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curl -X GET "https://example.com/v1/insights/rfm"{ "scope": "string", "as_of": "string", "customer_count": 0, "distribution": [ { "tier": "string", "customer_count": 0, "share": 0 } ], "definitions": [ { "tier": "string", "description": "string", "rule": "string" } ], "grid": [ { "recency_score": 0, "frequency_score": 0, "customer_count": 0 } ]}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}/v1/insights/productsScope: insights:read. MCP tool: get_top_products.
See top products by revenue and order count, based on completed orders. The default period is the 30 days ending at created_at_lte, or today if omitted. Date ranges longer than 31 days return bad_request.
Authorization
bearerAuth In: header
Query Parameters
Response Body
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curl -X GET "https://example.com/v1/insights/products"{ "scope": "string", "top_by_revenue": [ { "product_id": "string", "title": "string", "quantity": 0, "order_count": 0, "customer_count": 0, "revenue": "string", "repeat_purchase_rate": 0 } ], "top_by_order_count": [ { "product_id": "string", "title": "string", "quantity": 0, "order_count": 0, "customer_count": 0, "revenue": "string", "repeat_purchase_rate": 0 } ]}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}/v1/insights/at-riskScope: insights:read. MCP tool: list_at_risk_customers.
Find repeat customers who are overdue for their next order. Includes customers with purchases on at least two different days who have gone more than twice their usual interval without ordering. Use as_of as the date for measuring time since the last purchase; the default is now.
Authorization
bearerAuth In: header
Query Parameters
Response Body
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curl -X GET "https://example.com/v1/insights/at-risk"{ "data": [ { "contact_id": "string", "name": "string", "email": "string", "phone": "string", "external_id": "string", "last_order_at": "string", "days_since_last_order": 0, "median_inter_order_days": 0, "brand_median_inter_order_days": 0, "at_risk": true, "at_risk_score": 0 } ], "next_cursor": "string"}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}/v1/insights/lifecycleScope: insights:read. MCP tool: get_lifecycle_stages.
See lifecycle stage counts (Visitors, Customers, Repeat Customers, and more) read from the brand seeded lifecycle segments, with conversion ratios between adjacent stages.
Authorization
bearerAuth In: header
Response Body
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curl -X GET "https://example.com/v1/insights/lifecycle"{ "stages": [ { "node": "string", "segment_id": "string", "name": "string", "member_count": 0, "evaluated_at": "string", "state": "evaluating", "delta_30d": 0 } ], "edges": [ { "from": "string", "to": "string", "ratio": 0 } ]}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}/v1/insights/overviewScope: insights:read. MCP tool: get_customer_overview.
See active buyers, average order value, orders per customer and total value for a 7, 30 or 90 day window, with the previous window for comparison, daily series for both windows and the new vs returning customer value split.
Authorization
bearerAuth In: header
Query Parameters
Response Body
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curl -X GET "https://example.com/v1/insights/overview"{ "window_days": 0, "segment": "all", "currency_code": "string", "coverage_from": "string", "active_buyers": 0, "average_order_value": "string", "orders_per_customer": 0, "total_value": "string", "previous_active_buyers": 0, "previous_average_order_value": "string", "previous_orders_per_customer": 0, "previous_total_value": "string", "series": [ { "date": "string", "active_buyers": 0, "orders": 0, "total_value": "string", "average_order_value": "string", "orders_per_customer": 0 } ], "previous_series": [ { "date": "string", "active_buyers": 0, "orders": 0, "total_value": "string", "average_order_value": "string", "orders_per_customer": 0 } ], "revenue_split": { "new_value": "string", "returning_value": "string", "new_buyers": 0, "returning_buyers": 0, "previous": { "new_value": "string", "returning_value": "string", "new_buyers": 0, "returning_buyers": 0 } }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}/v1/insights/product-performanceScope: insights:read. MCP tool: get_product_performance.
See per-product viewers, add to cart, checkouts, orders, buyers, units and revenue for a 7, 30 or 90 day window with the previous window for comparison, and the store funnel from visits to purchases.
Authorization
bearerAuth In: header
Query Parameters
Response Body
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curl -X GET "https://example.com/v1/insights/product-performance"{ "window_days": 0, "currency_code": "string", "browse_coverage_from": "string", "products": [ { "product_id": "string", "title": "string", "image_url": "string", "viewers": 0, "add_to_cart": 0, "checkouts": 0, "orders": 0, "buyers": 0, "units": 0, "revenue": "string", "previous": { "viewers": 0, "add_to_cart": 0, "checkouts": 0, "orders": 0, "buyers": 0, "units": 0, "revenue": "string" } } ], "funnel": { "visits": 0, "product_views": 0, "add_to_cart": 0, "checkout_started": 0, "purchases": 0, "previous": { "visits": 0, "product_views": 0, "add_to_cart": 0, "checkout_started": 0, "purchases": 0 } }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}/v1/insights/first-productScope: insights:read. MCP tool: get_first_products.
See which products customers buy first: the top 10 line-item titles from each customer's earliest completed order, with a count and share of all purchasing customers.
Authorization
bearerAuth In: header
Response Body
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curl -X GET "https://example.com/v1/insights/first-product"{ "denominator": 0, "products": [ { "title": "string", "count": 0, "share": 0 } ]}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}/v1/insights/sourcesScope: insights:read. MCP tool: get_acquisition_sources.
See where first orders come from: customers counted by the utm_source of their earliest completed order, falling back to referrer_host then 'direct'. Top 8 sources plus 'other'.
Authorization
bearerAuth In: header
Response Body
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curl -X GET "https://example.com/v1/insights/sources"{ "denominator": 0, "sources": [ { "source": "string", "count": 0, "share": 0 } ]}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}{ "error": { "code": "bad_request", "message": "string" }}