# Dataset Partition Sizes — Daily Sum Series + Equal-Width Histogram

> Dataset Partition Sizes — Daily Sum Series + 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 2026-10-19).

Generates a daily sum time series and an equal-width histogram for dataset partition size metrics (row_count or file_mb) from up to 200 supplied records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-07-139?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-daily-sum-series-equal-width-histogram-d4a71b5a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_x9XadIN5AajFEUUotrvZa

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-daily-sum-series-equal-width-histogram-d4a71b5a -d '<json body>'
```

Example prompt: Can you analyze my dataset partition records — I have 150 rows with date, dataset_group, row_id, row_count, and file_mb — and give me both the daily sum series and an equal-width histogram with 8 bins for the row_count field?

## When to prefer this

Choose this endpoint when you need both a daily aggregated time series and a frequency distribution histogram for dataset partition size metrics (row counts or file sizes) from your own supplied data in a single call. It is ideal for data engineers monitoring pipeline throughput or storage growth over time, and for analysts who want a quick statistical overview without setting up local tooling. Prefer this over general analytics platforms when you need a lightweight, pay-per-call computation on up to 200 partition records with no external lookups or data retention.

## Known failure modes

- Rows array is empty or missing — minimum 1 row required
- More than 200 rows supplied — maxItems limit exceeded
- Invalid date format in any row — must match YYYY-MM-DD pattern
- row_id or dataset_group strings exceed 80 characters
- field value is not one of the allowed enum values: row_count or file_mb
- bins value outside allowed range of 1–30
- Null values in the selected metric field may affect aggregation results
- Missing required fields (row_id, dataset_group, date) in any row item

## How this service works

Dataset partition sizes — Daily sum series + Equal-width histogram: Daily sum series + 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 independent analytical reports: (1) a daily sum series showing the aggregated total of the selected metric (row_count or file_mb) per date, and (2) an equal-width histogram showing frequency counts across evenly spaced bins for the same metric, using the supplied dataset partition records.

## 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-daily-sum-series-equal-width-histogram-d4a71b5a/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)