# Dataset Partition Sizes — Numeric Distribution & Equal-Width Histogram

> Dataset Partition Sizes — Numeric Distribution & Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Computes a numeric distribution summary and an equal-width histogram for dataset partition size metrics (row_count or file_mb) across up to 200 supplied records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-07-079?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/dataset-partition-sizes-numeric-distribution-equal-width-histogram-081d1256
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UDna0IVrGei8Is_oiuU_A

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-numeric-distribution-equal-width-histogram-081d1256 -d '<json body>'
```

Example prompt: Analyze the distribution of row_count across my dataset partitions — here are 5 records: [{"row_id":"p1","dataset_group":"sales","date":"2024-01-01","row_count":1200,"file_mb":4.5},{"row_id":"p2","dataset_group":"sales","date":"2024-01-02","row_count":980,"file_mb":3.8},{"row_id":"p3","dataset_group":"logs","date":"2024-01-01","row_count":45000,"file_mb":120},{"row_id":"p4","dataset_group":"logs","date":"2024-01-02","row_count":50200,"file_mb":135},{"row_id":"p5","dataset_group":"sales","date":"2024-01-03","row_count":1050,"file_mb":4.1}] — use 8 bins and give me the numeric distribution plus histogram.

## When to prefer this

Choose this endpoint when you need a quick, self-contained statistical summary and histogram of dataset partition size metrics (row_count or file_mb) from your own supplied data, without any external data lookup or storage. It is ideal for data engineers monitoring partition uniformity, pipeline health checks, or batch analytics on up to 200 partition records at very low cost ($0.01 per call covering both reports).

## Known failure modes

- More than 200 rows supplied — request rejected due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) on any row — validation error
- bins value outside 1–30 range — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- All values for the chosen field are null — unable to compute distribution
- Payment of 0.01 USDC not completed — 402 Payment Required response

## How this service works

Dataset partition sizes — Numeric distribution + Equal-width histogram: Numeric distribution + Equal-width histogram 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 for the chosen field (row_count or file_mb): (1) a numeric distribution summary including descriptive statistics such as min, max, mean, median, and standard deviation, and (2) an equal-width histogram showing bin ranges and frequency counts — both computed locally from the supplied records, with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-numeric-distribution-equal-width-histogram-081d1256/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)