# Returns Handling Analytics — Weighted Mean & Date-by-Category Pivot

> Returns Handling Analytics — Weighted Mean & Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Computes a secondary-measure weighted mean and a date-by-category pivot table for returns handling data (returned_units, processing_minutes) in a single paid call delivering two reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-04-185?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/returns-handling-analytics-weighted-mean-date-by-category-pivot-696adea1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fHwxTUZxHNKzvUetyEfCg

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability returns-handling-analytics-weighted-mean-date-by-category-pivot-696adea1 -d '<json body>'
```

Example prompt: Run a weighted mean and date-by-category pivot on my returns handling data — I have 4 rows: row-1, group-a, 2026-10-01, 10 returned units, 1 processing minute; row-2, group-b, 2026-10-02, 20 units, 2 minutes; row-3, group-a, 2026-10-03, 15 units, 3 minutes; row-4, group-b, 2026-10-04, 30 units, 4 minutes — use returned_units as the primary field.

## When to prefer this

Choose this endpoint when you need both a weighted mean summary and a date-by-category pivot on returns handling data (returned_units, processing_minutes) in a single low-cost call. It is ideal for retail operations teams doing batch offline analytics on up to 200 rows of returns records without needing live data, predictions, or external integrations. It offers two reports for $0.01 USDC, making it cost-effective for routine periodic analysis.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, store_group, date, returned_units, processing_minutes) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Null values in numeric fields may affect weighted mean computation
- Invalid field enum value (not 'returned_units' or 'processing_minutes') causes rejection
- Payment of 0.01 USDC not fulfilled via x402 protocol results in 402 Payment Required

## How this service works

Returns handling — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + Date by category pivot for supplied returns handling records (returned_units, processing_minutes). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Two analytical reports derived from the supplied rows: (1) a secondary-measure weighted mean for the chosen field (returned_units or processing_minutes) across the dataset, and (2) a date-by-category pivot table cross-tabulating values by date and store_group. Results cover up to 200 input rows and are computed locally without external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "store_group",
     "date",
     "returned_units",
     "processing_minutes"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "store_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "returned_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "processing_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "store_group": "group-a",
     "returned_units": 10,
     "processing_minutes": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "store_group": "group-b",
     "returned_units": 20,
     "processing_minutes": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "store_group": "group-a",
     "returned_units": 15,
     "processing_minutes": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "store_group": "group-b",
     "returned_units": 30,
     "processing_minutes": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "returned_units",
    "processing_minutes"
   ],
   "type": "string",
   "default": "returned_units"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/returns-handling-analytics-weighted-mean-date-by-category-pivot-696adea1/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)