# Dataset Partition Sizes — Base-100 Series + Secondary-Measure Weighted Mean

> Dataset Partition Sizes — Base-100 Series + Secondary-Measure Weighted Mean 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 index series and a secondary-measure weighted mean for dataset partition records (row_count, file_mb) supplied by the caller, using local analytical engines with no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-07-166?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-secondary-measure-weighted-mean-a5b85535
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7IGgrkn6efgE--mMOCXM8

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-secondary-measure-weighted-mean-a5b85535 -d '<json body>'
```

Example prompt: For these dataset partition records — groups A and B across four dates with row counts 10, 20, 15, 30 and file sizes 1, 2, 3, 4 MB — give me both a Base-100 index series and a weighted mean report for the row_count field, rebased starting from the first row.

## When to prefer this

Choose this endpoint when you have up to 200 dataset partition records (with row_count and file_mb fields) and need both a Base-100 index series and a weighted mean computed together in a single $0.01 call. It is ideal for data engineers monitoring partition growth trends or normalizing sizes relative to a baseline row, without requiring any external data lookups or live database connections.

## Known failure modes

- Input array is empty or missing — minItems:1 required
- More than 200 rows supplied — maxItems:200 enforced
- base_index out of range (0–199) relative to actual row count
- Required row fields (row_id, dataset_group, date, row_count, file_mb) missing or malformed
- date field does not match YYYY-MM-DD pattern
- Numeric fields outside allowed range (-1e12 to 1e12)
- Invalid field enum value — must be 'row_count' or 'file_mb'

## How this service works

Dataset partition sizes — Base-100 series + Secondary-measure weighted mean: Base-100 series + Secondary-measure weighted mean 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: (1) a Base-100 index series showing how the chosen field (row_count or file_mb) evolves relative to the designated base row, and (2) a secondary-measure weighted mean across partition records, computed locally without external data sources. Up to 200 input rows are supported per call.

## 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-secondary-measure-weighted-mean-a5b85535/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)