# Supplier Fill — Grouped Numeric Summary + Date by Category Pivot

> Supplier Fill — Grouped Numeric Summary + 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).

Analyzes supplier fill rate data (ordered_units and received_units) by producing a grouped numeric summary and a date-by-category pivot table for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-06-097?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/supplier-fill-grouped-numeric-summary-date-by-category-pivot-efda6b2c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Lwktja5QqA1rzngKDyEqL

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-grouped-numeric-summary-date-by-category-pivot-efda6b2c -d '<json body>'
```

Example prompt: I have supplier fill records for our stores — can you run a grouped numeric summary and a date-by-category pivot on the ordered_units field for this data: store group-a ordered 10 units and received 1 on 2026-10-01, group-b ordered 20 and received 2 on 2026-10-02, group-a ordered 15 and received 3 on 2026-10-03, group-b ordered 30 and received 4 on 2026-10-04?

## When to prefer this

Choose this endpoint when you have supplier fill records with ordered and received unit quantities per store group and date, and need both a grouped aggregate summary and a pivot table in a single low-cost call. It is ideal for retail supply chain analytics where you want to process up to 200 rows of pre-collected data locally without any live lookups or external predictions.

## Known failure modes

- Missing required fields (row_id, store_group, date, ordered_units, received_units) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted results in an error
- Invalid field enum value (not 'ordered_units' or 'received_units') causes failure
- Empty rows array returns an error
- Null numeric values are allowed but may affect summary statistics

## How this service works

Supplier fill — Grouped numeric summary + Date by category pivot: Grouped numeric summary + 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 from locally processed data: (1) a grouped numeric summary of the selected metric (ordered_units or received_units) broken down by store_group, and (2) a date-by-category pivot table showing the same metric across dates and store groups — covering up to 200 input rows with no external data 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-grouped-numeric-summary-date-by-category-pivot-efda6b2c/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)