# Dataset Partition Sizes — Base-100 Series + Two-Measure Correlation

> Dataset Partition Sizes — Base-100 Series + Two-Measure Correlation 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 base-100 index series and a two-measure correlation report for dataset partition size records (row_count, file_mb) — up to 200 rows, two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-07-165?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-two-measure-correlation-15921b67
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VSVn_KXjRyIG0buhyYUIA

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-two-measure-correlation-15921b67 -d '<json body>'
```

Example prompt: Take these dataset partition records and give me two reports: index the row_count field as a base-100 series starting at row 0, and also compute the correlation between row_count and file_mb across all partitions — here are 4 rows: row-1 on 2026-10-01 in group-a with 10 rows and 1 MB, row-2 on 2026-10-02 in group-b with 20 rows and 2 MB, row-3 on 2026-10-03 in group-a with 15 rows and 3 MB, row-4 on 2026-10-04 in group-b with 30 rows and 4 MB.

## When to prefer this

Choose this endpoint when you need both a normalized time-series index (base-100) and a cross-measure correlation in a single call for dataset partition metadata (row counts and file sizes). It is purpose-built for data engineering and ETL monitoring workflows where you want to track partition growth relative to a baseline and quantify the relationship between file size and row count — without needing external data lookups or live system access. Ideal for lightweight, low-cost ($0.01) analytical passes over up to 200 partition records.

## Known failure modes

- Fewer than 1 row supplied — request rejected (minItems: 1)
- More than 200 rows supplied — request rejected (maxItems: 200)
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) — validation error
- base_index out of range (0–199) — error or undefined baseline
- Non-numeric values in row_count or file_mb where numbers are required — null handling may affect correlation
- Date strings not matching YYYY-MM-DD pattern — validation error
- Correlation undefined when all values in one measure are identical (zero variance)

## How this service works

Dataset partition sizes — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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 for the chosen field (row_count or file_mb) relative to the specified base_index position, showing each row's value as a percentage of the baseline; (2) a two-measure correlation report quantifying the linear relationship between row_count and file_mb across all supplied rows. Both reports are computed locally with no external data access.

## 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-two-measure-correlation-15921b67/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)