# Dataset Partition Sizes — Category Frequencies + Two-Measure Correlation

> Dataset Partition Sizes — Category Frequencies + Two-Measure Correlation 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) to produce two reports: category frequency distribution by dataset_group and a correlation analysis between the two numeric measures.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-07-108?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-two-measure-correlation-eb40423e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ssqgNddahNu6DaNBOS8zH

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-two-measure-correlation-eb40423e -d '<json body>'
```

Example prompt: Can you run a category frequency count and correlation analysis on these dataset partition records — I have up to 50 rows with fields row_id, dataset_group, date, row_count, and file_mb — and give me two reports: how often each group appears, and how row_count and file_mb relate to each other?

## When to prefer this

Choose this endpoint when you have tabular dataset partition records with a categorical group label and two numeric measures (row_count and file_mb) and need both a frequency distribution of categories and a pairwise correlation between the two measures in a single low-cost call. It is ideal for lightweight, local statistical summarization of up to 200 rows without needing a full analytics platform or live data connection.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) cause validation errors
- Null values in row_count or file_mb may reduce correlation reliability
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- All rows belonging to a single group yields trivial frequency output
- Insufficient numeric variance in measures may produce undefined or near-zero correlation

## How this service works

Dataset partition sizes — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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 analytical reports: (1) a category frequency table showing how many records belong to each dataset_group value, and (2) a two-measure correlation analysis between row_count and file_mb across the supplied rows — all computed locally with no external lookups, covering up to 200 input rows.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dataset-partition-sizes-category-frequencies-two-measure-correlation-eb40423e/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)