# Dataset Partition Sizes: Base-100 Series + Equal-Width Histogram

> Dataset Partition Sizes: Base-100 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 2026-10-23).

Generates two statistical reports — a Base-100 indexed series and an equal-width histogram — for supplied dataset partition size records (row_count or file_mb fields), using local analytical engines with no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-07-163?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/dataset-partition-sizes-base-100-series-equal-width-histogram-ce2ea986
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_aSB85tdr256QxnSIAsK5C

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-base-100-series-equal-width-histogram-ce2ea986 -d '<json body>'
```

Example prompt: Analyze my dataset partitions — I have 5 groups with row counts and file sizes logged daily — and give me a base-100 series indexed from row 0 plus a 10-bin equal-width histogram, all computed on the row_count field.

## When to prefer this

Choose this endpoint when you already have partition size data in hand (row counts and/or file megabytes) and need two quick analytical views — a normalized time-indexed series and a frequency histogram — without needing external data, predictions, or real-time lookups. Ideal for data engineers profiling dataset partition uniformity, auditing storage growth, or preparing summary analytics for up to 200 records at very low cost ($0.01 USDC for both reports).

## Known failure modes

- Rows array is empty or missing — returns validation error
- row_id or required fields missing from row objects — schema validation failure
- More than 200 rows supplied — request rejected, maxItems limit exceeded
- bins value outside 1–30 range — validation error
- base_index out of range for supplied rows — error or unexpected normalization
- Null values in row_count or file_mb may be excluded or cause division errors in normalization
- Invalid date format (not YYYY-MM-DD) — pattern validation failure

## How this service works

Dataset partition sizes — Base-100 series + Equal-width histogram: Base-100 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 reports: (1) a Base-100 indexed series showing each record's selected metric value normalized relative to the chosen base record, and (2) an equal-width histogram with the specified number of bins summarizing the distribution of the selected metric across all supplied rows. Both reports are computed locally from the supplied data with no external calls.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dataset-partition-sizes-base-100-series-equal-width-histogram-ce2ea986/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)