# Dataset Storage Record Quality Audit and String Normalisation

> Dataset Storage Record Quality Audit and String Normalisation 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 data quality and normalises strings for up to 200 dataset storage records (used_mb, row_count), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-001?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-and-string-normalisation-b6982517
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_15ziqXDSDPqgrt_bMSGVf

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-and-string-normalisation-b6982517 -d '<json body>'
```

Example prompt: Run a record quality audit and string normalisation on these dataset storage rows — I've got fields like row_id, dataset_group, date, used_mb, and row_count — and give me both reports back.

## When to prefer this

Choose this endpoint when you need both a data quality audit and string normalisation for dataset storage records (used_mb, row_count) in a single call. It is ideal for pre-ingestion checks, data pipeline validation, and cleaning storage logs where you want two independent analytical reports without any external API calls or live lookups. Best suited for batches up to 200 rows.

## Known failure modes

- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, dataset_group, date, used_mb, or row_count) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Empty rows array rejected (minItems: 1)
- Numeric values outside allowed range cause schema validation failure

## How this service works

Dataset storage — Record quality audit + String normalisation: Record quality audit + String normalisation 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

Two independent reports: (1) a record quality audit highlighting issues such as nulls, out-of-range values, and anomalies in used_mb and row_count fields; (2) a string normalisation report for text fields (row_id, dataset_group). Both reports are generated locally without any 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dataset-storage-record-quality-audit-and-string-normalisation-b6982517/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)