# Dataset Partition Sizes — Base-100 Series + IQR Outlier Flags

> Dataset Partition Sizes — Base-100 Series + 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 2026-10-19).

Computes a Base-100 indexed time series and IQR-based outlier flags 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-07-164?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-base-100-series-iqr-outlier-flags-60fe4607
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fGeeEcG_RXWoYb6r3mpGy

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-iqr-outlier-flags-60fe4607 -d '<json body>'
```

Example prompt: Can you run a base-100 series and IQR outlier analysis on my dataset partitions? I have 4 rows — group-a had 10 rows and 1 MB on 2026-10-01, group-b had 20 rows and 2 MB on 2026-10-02, group-a had 15 rows and 3 MB on 2026-10-03, and group-b had 30 rows and 4 MB on 2026-10-04 — use row_count as the field and start the base index at row 0.

## When to prefer this

Choose this endpoint when you need both a relative-growth (Base-100) normalization and IQR-based outlier detection on dataset partition metrics in a single call, without any external data sources. It is purpose-built for partition size analytics (row_count and file_mb) on batches of up to 200 records and is ideal when you want two independent analytical reports bundled at low cost. Prefer alternatives if you need daily sum aggregation, histogram binning, or real-time external data.

## Known failure modes

- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — request rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (>= number of rows submitted) — computation error
- null values in the selected field (row_count or file_mb) may affect IQR computation
- Missing required row fields (row_id, dataset_group, date) — schema rejection

## How this service works

Dataset partition sizes — Base-100 series + IQR outlier flags: Base-100 series + 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

Returns two analytical reports for the supplied dataset partition records: (1) a Base-100 indexed series showing each row's metric value relative to the chosen base row, and (2) IQR-based outlier flags marking which records fall outside the interquartile range. Both reports are computed locally on the supplied data with no external 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"
  },
  "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-iqr-outlier-flags-60fe4607/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)