# Dataset Storage Analytics — Base-100 Series + Two-Measure Correlation

> Dataset Storage Analytics — 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).

Computes a Base-100 indexed time series and a two-measure correlation report for supplied dataset storage records (used_mb, row_count) — up to 200 rows, two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-165?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-storage-analytics-base-100-series-two-measure-correlation-9a051734
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_E1f6jWsMvYf33nP2GAQ1v

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-base-100-series-two-measure-correlation-9a051734 -d '<json body>'
```

Example prompt: Can you run a base-100 index analysis on my storage data starting from row 0, using used_mb as the field, plus a correlation report between used_mb and row_count? Here are my records: group-a had 10 MB with 1 row on 2026-10-01, group-b had 20 MB with 2 rows on 2026-10-02, group-a had 15 MB with 3 rows on 2026-10-03, and group-b had 30 MB with 4 rows on 2026-10-04.

## When to prefer this

Choose this endpoint when you have up to 200 rows of dataset storage records (used_mb, row_count) and need both a base-100 normalized time series and a two-measure correlation in a single low-cost call ($0.01 USDC). It is ideal for local, offline analytics on supplied data without requiring external lookups or live data connections. Prefer this over general-purpose analytics tools when you specifically need indexed normalization relative to a chosen baseline row alongside a correlation between two storage metrics.

## Known failure modes

- Fewer than 1 row provided — minimum 1 row required
- More than 200 rows submitted — maxItems limit exceeded
- Invalid date format (must match YYYY-MM-DD pattern)
- base_index out of range (0–199) relative to supplied rows
- Missing required fields (row_id, dataset_group, date) in any row object
- field enum value not one of 'used_mb' or 'row_count'
- Null values in used_mb or row_count may reduce correlation reliability

## How this service works

Dataset storage — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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 Base-100 indexed time series showing relative changes in the selected field (used_mb or row_count) normalized to 100 at the specified base_index row, and (2) a two-measure correlation report quantifying the statistical relationship between used_mb and row_count across the supplied rows. No external data is fetched; all computation is performed locally on the provided dataset.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dataset-storage-analytics-base-100-series-two-measure-correlation-9a051734/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)