# Manufacturing Output Date by Category Pivot

> Manufacturing Output 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 2026-10-18).

Pivots manufacturing output records by date and category (production line), summarizing units or defects across up to 200 rows

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-analytics-manufacturing-output-pivot?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/manufacturing-output-date-by-category-pivot-3e58a4fb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hPVbpRhW6JDWxJFwTvOHx

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 manufacturing-output-date-by-category-pivot-3e58a4fb -d '<json body>'
```

Example prompt: Take these manufacturing records and pivot the units field by date and production line — I have 4 rows: row-1 on 2026-10-01 for group-a with 10 units and 1 defect, row-2 on 2026-10-02 for group-b with 20 units and 2 defects, row-3 on 2026-10-03 for group-a with 15 units and 3 defects, and row-4 on 2026-10-04 for group-b with 30 units and 4 defects.

## When to prefer this

Choose this endpoint when you have tabular manufacturing output records with date, line/category, and numeric metrics (units or defects) and need a cross-tabulated pivot summary. It is ideal for local, bounded datasets of up to 200 records where no external enrichment or forecasting is needed. Prefer it over generic analytics services when working specifically in manufacturing operations contexts and needing a fast, low-cost ($0.01 USDC) pivot computation.

## Known failure modes

- Missing required fields (row_id, line, date, units, or defects) returns a validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit and returns an error
- Numeric values outside ±1,000,000,000,000 are rejected
- Invalid field selector (anything other than 'units' or 'defects') returns an enum validation error
- Empty rows array is rejected due to minItems: 1 constraint

## How this service works

Manufacturing output - Date by category pivot: Date by category pivot for Manufacturing output. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded date by category pivot deliverable.

## Output

A date-by-category pivot table derived from the submitted manufacturing records, with dates as one axis and production line names as the other, aggregating the selected numeric field (units or defects) across all matching rows. Up to 200 input records are supported with local numeric processing and data-quality checks included.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/manufacturing-output-date-by-category-pivot-3e58a4fb/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)