# Dataset Partition Sizes — Duplicate Key Report + Date by Category Pivot

> Dataset Partition Sizes — 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 2026-10-19).

Analyzes up to 200 dataset partition size records to produce two analytical reports: a duplicate key report and a date-by-category pivot table for row_count or file_mb.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-07-068?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/dataset-partition-sizes-duplicate-key-report-date-by-category-pivot-113df2d3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6nnLLn5GRqn1tmPm8G3lE

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 dataset-partition-sizes-duplicate-key-report-date-by-category-pivot-113df2d3 -d '<json body>'
```

Example prompt: Can you run a duplicate key check and a date-by-category pivot on my dataset partition sizes? Here are up to 200 rows with row_id, dataset_group, date, row_count, and file_mb — I want to pivot on row_count.

## When to prefer this

Choose this endpoint when you need both a duplicate key integrity check and a date-by-category pivot on dataset partition size records (row_count or file_mb) in a single low-cost call. It is ideal for data engineers auditing ETL outputs or partition metadata without needing a live database connection, external ML prediction, or professional assessment — just local analytical computation on supplied rows.

## Known failure modes

- Input rows array is empty or missing — returns validation error
- row_id, dataset_group, or date fields missing from one or more rows — schema validation failure
- Date field does not match YYYY-MM-DD pattern — rejected row or error
- More than 200 rows submitted — request rejected due to maxItems limit
- Invalid value for 'field' enum (must be row_count or file_mb) — validation error
- Payment of 0.01 USDC not included or invalid — 402 payment required response

## How this service works

Dataset partition sizes — Duplicate key report + Date by category pivot: Duplicate key report + Date by category pivot for supplied dataset partition sizes records (row_count, file_mb). 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 any repeated row_id values across the supplied partition records, and (2) a date-by-category pivot table cross-tabulating the chosen numeric field (row_count or file_mb) by date and dataset_group. Both reports are computed locally without external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dataset-partition-sizes-duplicate-key-report-date-by-category-pivot-113df2d3/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)