# Procurement Cycles Duplicate Key Report + Date by Category Pivot

> Procurement Cycles Duplicate Key Report + 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 2026-10-25).

Analyzes user-supplied procurement cycle records to produce a duplicate key report and a date-by-category pivot table for request_days or approval_days fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-06-068?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/procurement-cycles-duplicate-key-report-date-by-category-pivot-0468cbf2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_RI1RitIEtbYX9roXc747V

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 procurement-cycles-duplicate-key-report-date-by-category-pivot-0468cbf2 -d '<json body>'
```

Example prompt: I have 150 procurement cycle records with row IDs, team groups, dates, and request_days values — can you run a duplicate key report and a date-by-category pivot on the request_days field for me?

## When to prefer this

Choose this endpoint when you have procurement cycle tabular data (up to 200 rows) and need both a duplicate key audit and a date-by-category pivot in a single low-cost call. It is ideal for pre-submission data quality checks, operations reporting, or ad hoc procurement analytics without requiring a BI tool or database connection. Prefer it over general-purpose analytics endpoints when your data is specifically structured around procurement cycles with request_days and approval_days metrics.

## Known failure modes

- Exceeding 200-row limit causes rejection — trim input to at most 200 rows
- Missing required fields (row_id, team_group, date, request_days, approval_days) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Null values in the selected metric field may produce incomplete pivot cells
- Empty rows array returns an error — at least 1 row required
- Values outside numeric bounds cause schema rejection

## How this service works

Procurement cycles — Duplicate key report + Date by category pivot: Duplicate key report + Date by category pivot for supplied procurement cycles records (request_days, approval_days). 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 independent analytical reports: (1) a duplicate key report identifying rows with repeated row_id values within the supplied dataset, and (2) a date-by-category pivot table aggregating the selected metric (request_days or approval_days) across dates and team_group categories. Both reports are computed locally from the submitted data without any external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/procurement-cycles-duplicate-key-report-date-by-category-pivot-0468cbf2/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)