Analytics Module — Admin surface | Supercommerce by SuperLabs

Admin-facing HTTP surface for precomputed platform-wide dashboard snapshots (GMV, orders, commission & payouts, vendor leaderboard, customers, inventory KPIs for today / 7d / 30d / all-time) and a live SSE platform paid-order feed.

Admin-facing HTTP surface for precomputed platform-wide dashboard snapshots (GMV, orders, commission & payouts, vendor leaderboard, customers, inventory KPIs) and a live SSE paid-order feed for the whole platform. The dashboard is computed every 10 minutes by a background worker and served directly from a snapshot table — it is never computed on request. The SSE stream is a long-lived connection that emits a baseline count on connect and increments as new paid orders arrive anywhere on the platform.

This is the platform-wide counterpart to the per-vendor Analytics — Vendor surface. Where the vendor surface scopes every metric to one vendor, the admin surface aggregates across all vendors and adds admin-only metrics (vendor leaderboard, platform commission, payouts, customers).

Source: api-modules/admin-analytics/src/controllers/admin-analytics.controller.ts, api-modules/admin-analytics/src/controllers/admin-live-orders.controller.ts.

Conventions

Authentication & authorization

Both endpoints require a Better-Auth admin bearer session and the analytics:view permission.

Authorization: Bearer <session-token>

Guarded by BetterAuthGuard + PermissionsGuard with @RequirePermissions({ analytics: ["view"] }). The analytics resource is granted to the built-in superAdmin and admin roles; narrower dynamic roles must be granted analytics:view explicitly. A session without the permission is rejected with 403 Forbidden (FORBIDDEN).

There is no tenant scoping — every metric spans the entire platform.

Response envelope (dashboard)

{
  "data": { /* dashboard payload */ },
  "message": "Success",
  "statusCode": 200
}

SSE stream (live/orders)

The SSE endpoint is not wrapped by the standard response envelope. It is a raw text/event-stream connection; each frame is a data: line containing a JSON object.

Error envelope

`statusCode`	`errorCode` examples
400	`BAD_REQUEST`, `VALIDATION_ERROR`
401	`UNAUTHORIZED`
403	`FORBIDDEN` (missing `analytics:view`)
500	`INTERNAL_SERVER_ERROR`

Money + dates

All monetary fields are integer subunits (paise / cents / eurocents — single currency per tenant). Date/time fields are ISO 8601 strings (computedAt, at, bucket).

Endpoints

GET /admin/analytics/dashboard

Returns the precomputed platform analytics snapshot for the selected time window.

The snapshot is computed every 10 minutes by a background BullMQ worker (admin-analytics-refresh job). This read never recalculates on request — it always returns the latest stored snapshot. To force a fresh recompute without waiting for the next 10-minute tick, use POST /admin/analytics/refresh (below), then re-read this endpoint. Before the worker has run for the first time, every metric is zeroed and computedAt is null.

Query parameters

Parameter	Type	Default	Description
`window`	`"today" \| "7d" \| "30d" \| "all_time"`	`"30d"`	The analytics time window to serve

Response fields (`data` object)

Field	Type	Description
`window`	`string`	The window requested
`computedAt`	`string \| null`	ISO datetime of the last snapshot computation, or `null` if never computed
`grossSales`	`int` (subunits)	Platform GMV — total order grand-total in the window (includes shipping + tax)
`ordersCount`	`int`	Total orders placed in the window
`unitsSold`	`int`	Total line-item units sold
`aov`	`int` (subunits)	Average order value (grossSales / ordersCount, 0 when ordersCount = 0)
`refundsAmount`	`int` (subunits)	Total value of refunds processed
`deliveredOrders`	`int`	Sub-orders in `delivered` status
`cancelledOrders`	`int`	Sub-orders in `cancelled` status
`avgFulfillSeconds`	`int`	Average seconds from order placed to fulfilled (across vendors)
`avgDeliverSeconds`	`int`	Average seconds from fulfilled to delivered (across vendors)
`commissionEarned`	`int` (subunits)	Platform commission earned (ledger `sale` entries)
`vendorNetEarnings`	`int` (subunits)	Vendor net earnings accrued (ledger `sale` + `refund`)
`payoutsPaid`	`int` (subunits)	Total paid out to vendors (payouts marked `paid` in the window)
`vendorsTotal`	`int`	Total registered vendors
`vendorsActive`	`int`	Vendors with at least one sub-order in the window
`customersTotal`	`int`	Total registered (non-admin, non-anonymous) customers
`newCustomers`	`int`	Customers created within the window
`returningCustomers`	`int`	Distinct in-window buyers who also have an order before the window start
`productsTotal`	`int`	Total products platform-wide (excludes soft-deleted)
`productsActive`	`int`	Active products platform-wide
`productsDraft`	`int`	Draft products platform-wide
`productsArchived`	`int`	Archived products platform-wide
`skusLowStock`	`int`	SKUs below their low-stock threshold
`skusOutOfStock`	`int`	SKUs with zero available inventory
`inventoryUnitsOnHand`	`int`	Total on-hand units across all SKUs
`pendingActionCount`	`int`	Sub-orders awaiting vendor action (pending status)
`salesTrend`	`TrendBucket[]`	Revenue + order count over time (see below)
`statusBreakdown`	`StatusBreakdown`	Sub-order counts by status (see below)
`topVendorsByRevenue`	`TopVendor[]` (max 5)	Top 5 vendors ranked by revenue
`topVendorsByOrders`	`TopVendor[]` (max 5)	Top 5 vendors ranked by order count
`topProductsByRevenue`	`TopProduct[]` (max 5)	Top 5 SKUs ranked by revenue
`topProductsByUnits`	`TopProduct[]` (max 5)	Top 5 SKUs ranked by units sold
`lowStockList`	`LowStockItem[]` (max 20)	Up to 20 SKUs closest to or past their low-stock threshold
`deltas`	`Deltas \| null`	Period-over-period changes; `null` for `all_time` (no previous period)

`TrendBucket`

Bucket granularity depends on the window:

today → hourly buckets
7d, 30d → daily buckets
all_time → monthly buckets

{
  bucket: string;   // ISO datetime (start of the bucket)
  revenue: number;  // integer subunits
  orders: number;
}

`StatusBreakdown`

{
  pending: number;
  fulfilled: number;
  delivered: number;
  cancelled: number;
  returned: number;
}

`TopVendor`

{
  vendorId: string;
  name: string;
  revenue: number;  // integer subunits
  orders: number;
}

`TopProduct`

{
  variantId: string;
  productId: string | null;
  name: string;
  sku: string;
  units: number;
  revenue: number;  // integer subunits
}

`LowStockItem`

{
  variantId: string;
  sku: string;
  name: string;
  onHand: number;
  threshold: number | null;
}

`Deltas`

Holds period-over-period comparison for four headline KPIs. Each delta has an absolute value (in the same unit as the metric) and a pct (percentage change, or null if the previous period had a zero baseline so percentage is undefined). The deltas field itself is null for the all_time window because there is no defined previous period.

{
  grossSales:       { absolute: number; pct: number | null };
  ordersCount:      { absolute: number; pct: number | null };
  unitsSold:        { absolute: number; pct: number | null };
  commissionEarned: { absolute: number; pct: number | null };
}

Example response

// GET /admin/analytics/dashboard?window=7d
{
  "data": {
    "window": "7d",
    "computedAt": "2026-06-08T09:40:00.000Z",
    "grossSales": 84200000,
    "ordersCount": 612,
    "unitsSold": 1043,
    "aov": 137581,
    "refundsAmount": 1250000,
    "deliveredOrders": 470,
    "cancelledOrders": 33,
    "avgFulfillSeconds": 16200,
    "avgDeliverSeconds": 169200,
    "commissionEarned": 12630000,
    "vendorNetEarnings": 71570000,
    "payoutsPaid": 58000000,
    "vendorsTotal": 38,
    "vendorsActive": 24,
    "customersTotal": 5821,
    "newCustomers": 142,
    "returningCustomers": 318,
    "productsTotal": 1987,
    "productsActive": 1840,
    "productsDraft": 96,
    "productsArchived": 51,
    "skusLowStock": 73,
    "skusOutOfStock": 22,
    "inventoryUnitsOnHand": 41280,
    "pendingActionCount": 109,
    "salesTrend": [
      { "bucket": "2026-06-02T00:00:00.000Z", "revenue": 11200000, "orders": 82 },
      { "bucket": "2026-06-03T00:00:00.000Z", "revenue": 12450000, "orders": 90 },
      { "bucket": "2026-06-04T00:00:00.000Z", "revenue": 13900000, "orders": 101 },
      { "bucket": "2026-06-05T00:00:00.000Z", "revenue": 12800000, "orders": 95 },
      { "bucket": "2026-06-06T00:00:00.000Z", "revenue": 13100000, "orders": 96 },
      { "bucket": "2026-06-07T00:00:00.000Z", "revenue": 11550000, "orders": 86 },
      { "bucket": "2026-06-08T00:00:00.000Z", "revenue": 9200000,  "orders": 62 }
    ],
    "statusBreakdown": {
      "pending": 109,
      "fulfilled": 0,
      "delivered": 470,
      "cancelled": 33,
      "returned": 0
    },
    "topVendorsByRevenue": [
      { "vendorId": "ven_01", "name": "GlowLabs", "revenue": 18400000, "orders": 132 },
      { "vendorId": "ven_02", "name": "DermaCo",  "revenue": 14100000, "orders": 98 },
      { "vendorId": "ven_03", "name": "PureSkin", "revenue": 11900000, "orders": 87 },
      { "vendorId": "ven_04", "name": "AuraBeauty", "revenue": 9700000, "orders": 71 },
      { "vendorId": "ven_05", "name": "NudeEssentials", "revenue": 8200000, "orders": 64 }
    ],
    "topVendorsByOrders": [
      { "vendorId": "ven_01", "name": "GlowLabs", "revenue": 18400000, "orders": 132 },
      { "vendorId": "ven_02", "name": "DermaCo",  "revenue": 14100000, "orders": 98 },
      { "vendorId": "ven_03", "name": "PureSkin", "revenue": 11900000, "orders": 87 },
      { "vendorId": "ven_04", "name": "AuraBeauty", "revenue": 9700000, "orders": 71 },
      { "vendorId": "ven_05", "name": "NudeEssentials", "revenue": 8200000, "orders": 64 }
    ],
    "topProductsByRevenue": [
      { "variantId": "var_01", "productId": "prod_01", "name": "Vitamin C Serum 30ml", "sku": "VCS-30", "units": 220, "revenue": 6600000 }
    ],
    "topProductsByUnits": [
      { "variantId": "var_03", "productId": "prod_01", "name": "Vitamin C Serum 15ml", "sku": "VCS-15", "units": 410, "revenue": 2870000 }
    ],
    "lowStockList": [
      { "variantId": "var_07", "sku": "MZ-CLN-100", "name": "Micellar Cleanser 100ml", "onHand": 3, "threshold": 10 },
      { "variantId": "var_08", "sku": "RET-EYE",    "name": "Retinol Eye Serum",      "onHand": 0, "threshold": 5 }
    ],
    "deltas": {
      "grossSales":       { "absolute": 5400000, "pct": 6.85 },
      "ordersCount":      { "absolute": 41,      "pct": 7.18 },
      "unitsSold":        { "absolute": 63,      "pct": 6.43 },
      "commissionEarned": { "absolute": 810000,  "pct": 6.85 }
    }
  },
  "message": "Success",
  "statusCode": 200
}

POST /admin/analytics/refresh

Forces an immediate recompute of every snapshot window instead of waiting for the scheduled 10-minute tick.

Requires @RequirePermissions({ analytics: ["refresh"] }) — granted to the built-in superAdmin and admin roles alongside analytics:view.

The recompute runs in the background on the worker, not in this request. The handler enqueues a one-off admin-analytics-refresh job (fixed jobId admin-analytics-refresh-manual, so rapid repeat calls dedup to a single in-flight run) onto the same admin-analytics BullMQ queue the cron uses, then returns immediately. Poll GET /admin/analytics/dashboard afterwards — once the worker finishes, every window's computedAt advances.

No request body.

Response 200 — { "data": { "enqueued": true }, "message": "Success", "statusCode": 200 }.

Status	Code	When
403	`FORBIDDEN`	Session lacks `analytics:refresh`

GET /admin/analytics/live/orders (Server-Sent Events)

Opens a long-lived SSE connection (text/event-stream) that streams real-time paid-order activity across the whole platform.

This endpoint is not wrapped in the standard response envelope — the response body is a raw event stream.

Query parameters

Param	Type	Required	Description
`since`	ISO 8601 datetime	no	Lower bound on `paid_at` for the count. Clients send the viewer's local start of day (`new Date().setHours(0,0,0,0)`), so "today" follows the device's timezone. Defaults to the server's start of day. The bound is fixed for the life of the connection — the count does not reset at midnight.

Behaviour

Event	When emitted	Payload
Immediately on (re)connect	baseline snapshot of today's platform-wide paid-order count	`snapshot` frame
On each newly-paid order anywhere on the platform	incremented live count	`order.paid` frame
Every 30 seconds	keep-alive	`heartbeat` frame

Self-healing counter: on every connect (including EventSource auto-reconnects after a dropped connection), the controller re-baselines the count from a fresh DB query (COUNT(order WHERE status='confirmed' AND paid_at >= since)). A missed event corrects itself within one reconnect cycle — the count never permanently drifts.

Frame shapes

All frames arrive as data: <JSON>\n\n lines.

snapshot — emitted once immediately on connect:

{
  "type": "snapshot",
  "paidOrdersToday": 184,
  "at": "2026-06-08T09:41:05.123Z"
}

order.paid — emitted for each newly-paid order on the platform:

{
  "type": "order.paid",
  "paidOrdersToday": 185,
  "orderNumber": "ORD-2026-00892",
  "grandTotal": 249900,
  "at": "2026-06-08T09:53:28.447Z"
}

grandTotal is the order's total in integer subunits.

heartbeat — emitted every 30 seconds:

{
  "type": "heartbeat",
  "at": "2026-06-08T10:00:05.001Z"
}

Example: curl

curl -N \
  -H "Authorization: Bearer <session-token>" \
  -H "Accept: text/event-stream" \
  'https://api.example.com/admin/analytics/live/orders?since=2026-09-18T18:30:00.000Z'

Analytics Module — Admin surface

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