# Dataset Storage Analytics — Two-Measure Correlation + Keyed Dataset Comparison

> Dataset Storage Analytics — Two-Measure Correlation + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Computes two-measure correlation (used_mb vs row_count) and performs keyed dataset comparison between two supplied dataset storage record sets, returning two analytical reports for up to 200 rows each.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-183?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/dataset-storage-analytics-two-measure-correlation-keyed-dataset-eacb65e7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ODu4toVzsmbx8QHgUYp8W

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-keyed-dataset-eacb65e7 -d '<json body>'
```

Example prompt: Can you analyze my dataset storage records and tell me how strongly used_mb correlates with row_count, and also compare this week's snapshot to last week's snapshot by row_id? I have up to 80 rows in each dataset.

## When to prefer this

Choose this endpoint when you need both a correlation statistic between two numeric storage measures (used_mb and row_count) and a row-keyed diff between two dataset snapshots in a single paid call. It is ideal for offline/batch analysis of up to 200 storage records per dataset where no live lookup, external enrichment, or prediction is needed. It is more cost-effective than calling separate correlation and comparison endpoints when both reports are needed simultaneously.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- Fewer than 1 row in primary dataset — minimum not met
- Numeric values outside allowed range (±1,000,000,000,000) — validation failure
- Payment not completed via x402 — 402 response, no analysis returned

## How this service works

Dataset storage — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison 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 analytical reports: (1) a two-measure correlation result quantifying the statistical relationship between used_mb and row_count across the primary dataset rows, and (2) a keyed dataset comparison report matching rows by row_id between the primary and secondary datasets to surface differences in used_mb and row_count values.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "used_mb": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "row_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "used_mb": 10,
     "row_count": 1,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "used_mb": 20,
     "row_count": 2,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "used_mb": 15,
     "row_count": 3,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "used_mb": 30,
     "row_count": 4,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "used_mb",
     "row_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dataset-storage-analytics-two-measure-correlation-keyed-dataset-eacb65e7/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)