# Supplier Fill Adjacent Row Changes and Date by Category Pivot

> Supplier Fill Adjacent Row Changes and 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 2026-10-26).

Analyzes supplier fill records (ordered_units, received_units) by computing adjacent row changes and a date-by-category pivot table, returning two local analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-06-160?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/supplier-fill-adjacent-row-changes-and-date-by-category-pivot-5e783bcd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ylq7q_HNg3oLoqXxuHmQF

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 supplier-fill-adjacent-row-changes-and-date-by-category-pivot-5e783bcd -d '<json body>'
```

Example prompt: Can you run two supplier fill reports on these 4 rows of store group data — one showing adjacent row changes and one pivoting ordered_units by date and store group? Here are the rows: row-1 group-a 2026-10-01 ordered=10 received=1, row-2 group-b 2026-10-02 ordered=20 received=2, row-3 group-a 2026-10-03 ordered=15 received=3, row-4 group-b 2026-10-04 ordered=30 received=4, and use ordered_units as the field.

## When to prefer this

Choose this endpoint when you have tabular supplier fill data (ordered and received units per store group and date) and need both a sequential row-change analysis and a date-by-category pivot in a single low-cost call. Ideal for retail supply chain workflows needing offline, local computation on up to 200 records without external data lookups or live predictions.

## Known failure modes

- Missing required fields (row_id, store_group, date, ordered_units, received_units) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds maxItems limit
- Invalid field enum value (not ordered_units or received_units) causes rejection
- Empty rows array (minItems: 1 not met) returns error
- Payment not provided or insufficient USDC causes 402 response

## How this service works

Supplier fill — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot for supplied supplier fill records (ordered_units, received_units). 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

Returns two analytical reports: (1) an adjacent row changes report showing sequential differences in the selected field (ordered_units or received_units) across supplied rows, and (2) a date-by-category pivot table cross-tabulating the selected field values by date and store_group. Both reports are computed locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-fill-adjacent-row-changes-and-date-by-category-pivot-5e783bcd/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)