# Dataset Partition Sizes — Category Frequencies + Adjacent Row Changes

> Dataset Partition Sizes — Category Frequencies + Adjacent Row Changes 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 dataset partition size records (row_count, file_mb) producing two local analytical reports: category frequency distribution and adjacent row change detection.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-07-104?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-category-frequencies-adjacent-row-changes-4ab39dcf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8Q2OPEoxMwXyXclWFrHUy

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-category-frequencies-adjacent-row-changes-4ab39dcf -d '<json body>'
```

Example prompt: Analyze these 4 partition size records — rows with row_id, dataset_group, date, row_count, and file_mb — and give me two reports: one showing how often each dataset_group appears (category frequencies) and one showing how row_count changes between adjacent rows.

## When to prefer this

Choose this endpoint when you need two quick, local statistical reports — category frequency counts and sequential row-to-row change detection — on dataset partition size records without requiring any external data sources, live lookups, or ML predictions. Ideal for lightweight data engineering audits on up to 200 rows at very low cost ($0.01 USDC for both reports).

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — validation error
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) — schema validation failure
- Date field not in YYYY-MM-DD format — pattern validation error
- Numeric fields (row_count, file_mb) out of allowed range — validation error
- Payment not included or insufficient USDC — 402 payment required response

## How this service works

Dataset partition sizes — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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

Two independent analytical reports: (1) category frequency table showing how often each dataset_group value appears across the supplied rows, and (2) adjacent row changes report showing the delta in the selected numeric field (row_count or file_mb) between consecutive records. Results are computed locally with no 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-category-frequencies-adjacent-row-changes-4ab39dcf/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)