# Dataset Partition Sizes Analytics — Numeric Distribution & Keyed Dataset Comparison

> Dataset Partition Sizes Analytics — Numeric Distribution & Keyed Dataset Comparison 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).

Runs two analytical reports on dataset partition size records (row_count, file_mb): a numeric distribution analysis and a keyed comparison between two supplied datasets, for up to 200 rows each.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-07-084?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-analytics-numeric-distribution-keyed-dataset-d1d63dc0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8JFI5ynPXA5fGiiPNvoZt

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-analytics-numeric-distribution-keyed-dataset-d1d63dc0 -d '<json body>'
```

Example prompt: Can you analyze the distribution of row_count values across my dataset partitions and also compare them against a second dataset — I'll supply up to 200 rows for each, grouped by dataset_group and dated by day?

## When to prefer this

Choose this endpoint when you have two sets of dataset partition records (up to 200 rows each) and need both a statistical distribution breakdown of a numeric size metric AND a side-by-side keyed comparison between the two datasets in a single low-cost API call. It is ideal for data engineers auditing ETL outputs, comparing staging vs production partition sizes, or tracking dataset growth between runs. It is not suitable for live data lookups, predictions, or analyses requiring more than 200 rows.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — truncated or rejected
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Numeric values out of supported range — clamped or error
- Mismatched keys between primary and comparison datasets — comparison report may show all rows as unmatched
- Null values in the selected metric field — excluded from distribution or flagged in output

## How this service works

Dataset partition sizes — Numeric distribution + Keyed dataset comparison: Numeric distribution + Keyed dataset comparison 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 numeric distribution report for the chosen field (row_count or file_mb) across the primary dataset, including descriptive statistics such as min, max, mean, median, percentiles, and histogram-style bucketing; and (2) a keyed comparison report between the primary and secondary datasets matched by row_id or dataset_group, highlighting differences in the selected metric. Both reports use local analytical engines with no external data 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "file_mb": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "row_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "file_mb": 1,
     "row_count": 10,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "file_mb": 2,
     "row_count": 20,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "file_mb": 3,
     "row_count": 15,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "file_mb": 4,
     "row_count": 30,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "row_count",
    "file_mb"
   ],
   "type": "string",
   "default": "row_count"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "row_count",
     "file_mb"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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
     }
    },
    "additi
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dataset-partition-sizes-analytics-numeric-distribution-keyed-dataset-d1d63dc0/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)