# Dataset Storage — Record Quality Audit + Secondary-Measure Weighted Mean

> Dataset Storage — Record Quality Audit + 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).

Audits record quality and computes a secondary-measure weighted mean for up to 200 dataset storage records (used_mb, row_count) in two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-016?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-record-quality-audit-secondary-measure-weighted-mean-69c8c396
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3CVXBmEj9W4Werbs1vEg2

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-record-quality-audit-secondary-measure-weighted-mean-69c8c396 -d '<json body>'
```

Example prompt: Can you run a record quality audit and compute a weighted mean of used_mb across these dataset storage rows — I have about 50 records with row_id, dataset_group, date, used_mb, and row_count fields, and I want both reports in one call?

## When to prefer this

Choose this endpoint when you need both a data quality audit and a weighted mean statistic on dataset storage records in a single low-cost API call. It is best suited for offline/batch analytical workflows where you supply your own rows (no live data fetch), want two distinct report types for up to 200 rows, and are working specifically with storage metrics (used_mb, row_count). Prefer alternatives if you need deduplication, outlier flagging, string normalization, or more than two report types in one call.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) causes row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Null values for both used_mb and row_count may degrade weighted mean computation
- Payment of 0.01 USDC not confirmed causes 402 Payment Required response

## How this service works

Dataset storage — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean 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 record quality audit identifying issues such as missing values, format violations, or outliers in the supplied dataset storage rows; and (2) a secondary-measure weighted mean computed for the selected field (used_mb or row_count) across up to 200 rows. No external lookups or predictions are made — all analysis is performed locally on the supplied data.

## 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-record-quality-audit-secondary-measure-weighted-mean-69c8c396/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)