# Dataset Storage Analytics: Two-Measure Correlation + Date by Category Pivot

> Dataset Storage Analytics: Two-Measure Correlation + Date by Category Pivot 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 two-measure correlation report and a date-by-category pivot table for up to 200 dataset storage records containing used_mb and row_count fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-182?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-storage-analytics-two-measure-correlation-date-by-category-bc52d37d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ds1X8qKXGQ95aJdG2bPGN

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-storage-analytics-two-measure-correlation-date-by-category-bc52d37d -d '<json body>'
```

Example prompt: Run two analytical reports on my dataset storage records — a correlation between used_mb and row_count, and a date-by-category pivot — for these rows: group-a on 2026-10-01 had 10 MB and 1 row, group-b on 2026-10-02 had 20 MB and 2 rows, group-a on 2026-10-03 had 15 MB and 3 rows, group-b on 2026-10-04 had 30 MB and 4 rows.

## When to prefer this

Choose this endpoint when you need both a correlation analysis and a date-by-category pivot on dataset storage records (used_mb, row_count) in a single low-cost call. It is ideal for agents managing data platform monitoring, storage audits, or BI reporting pipelines where the data is already available locally and no external data enrichment, prediction, or live lookup is needed. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for routine storage analytics.

## Known failure modes

- More than 200 rows submitted — exceeds maximum item limit
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) in any row
- Date field does not match YYYY-MM-DD pattern — validation error
- Invalid field enum value — only 'used_mb' or 'row_count' accepted
- All used_mb or row_count values are null — correlation cannot be computed
- Empty rows array — minItems:1 not satisfied

## How this service works

Dataset storage — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot for supplied dataset storage records (used_mb, row_count). 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 independent analytical reports: (1) a two-measure correlation between used_mb and row_count across the supplied rows, and (2) a date-by-category pivot table showing the selected field (used_mb or row_count) broken down by date and dataset_group. Both reports are computed locally from the supplied data with no external lookups or predictions.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "used_mb",
     "row_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "used_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",
     "used_mb": 10,
     "row_count": 1,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "used_mb": 20,
     "row_count": 2,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "used_mb": 15,
     "row_count": 3,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "used_mb": 30,
     "row_count": 4,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "used_mb",
    "row_count"
   ],
   "type": "string",
   "default": "used_mb"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dataset-storage-analytics-two-measure-correlation-date-by-category-bc52d37d/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)