# Dataset Partition Sizes — Equal-Width Histogram + IQR Outlier Flags

> Dataset Partition Sizes — Equal-Width Histogram + IQR Outlier Flags 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 an equal-width histogram and IQR-based outlier flags for up to 200 dataset partition size records (row_count or file_mb), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-07-170?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-equal-width-histogram-iqr-outlier-flags-51c9d286
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_aQALptWxs-2u7005z5q_C

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-equal-width-histogram-iqr-outlier-flags-51c9d286 -d '<json body>'
```

Example prompt: Analyze the distribution of row counts across my dataset partitions and flag any outliers — here are my 50 partition records with row_id, dataset_group, date, row_count, and file_mb values; use 10 histogram bins.

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis of dataset partition sizes — specifically equal-width histograms and IQR outlier detection — without any external data lookup or prediction. Ideal for data engineers auditing partition balance, detecting anomalous partitions, or validating ETL outputs. Prefer this over generic statistics APIs when you need both histogram and IQR outlier reports in a single call for up to 200 records at minimal cost.

## Known failure modes

- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- row_id missing or empty — required field error
- bin count exceeds 30 or is less than 1 — parameter out of range
- field value not 'row_count' or 'file_mb' — enum validation failure
- All values null for selected field — unable to compute histogram or IQR

## How this service works

Dataset partition sizes — Equal-width histogram + IQR outlier flags: Equal-width histogram + IQR outlier flags 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

Two independent analytical reports: (1) an equal-width histogram showing bin boundaries and frequency counts for the selected field (row_count or file_mb) across up to 200 partition records, and (2) IQR-based outlier flags identifying which records fall beyond 1.5× the interquartile range, both computed locally without 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-equal-width-histogram-iqr-outlier-flags-51c9d286/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)