# Dataset Storage Record Quality Audit, Exact Row Deduplication, and Duplicate Key Report

> Dataset Storage Record Quality Audit, Exact Row Deduplication, and Duplicate Key Report 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).

Runs three analytical reports on up to 200 dataset storage records: a record quality audit, exact row deduplication, and a duplicate key report, using local engines with no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-209?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-exact-row-deduplication-and-e0f0dd04
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_X0G6Ygc4iX2mFG2QecFFh

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-exact-row-deduplication-and-e0f0dd04 -d '<json body>'
```

Example prompt: Can you audit the quality of these dataset storage records and give me an exact row deduplication report plus a duplicate key report? Here are up to 200 rows with fields like row_id, dataset_group, date, used_mb, and row_count that I want checked.

## When to prefer this

Choose this endpoint when you have up to 200 dataset storage records (with used_mb and row_count metrics) that need quality auditing, exact deduplication, and duplicate key analysis in a single low-cost call. It is ideal for pre-ETL data cleaning, storage log validation, or lightweight offline analytics where no live data lookups or external services are needed. At $0.01 USDC for three reports, it is cost-effective for routine batch quality checks on small-to-medium record sets.

## Known failure modes

- Submitting more than 200 rows will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) will cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern will fail validation
- Empty rows array will not be accepted (minItems: 1)
- null values for used_mb or row_count are allowed but may affect quality audit completeness
- row_id or dataset_group values exceeding 80 characters will be rejected

## How this service works

Dataset storage — Record quality audit + Exact row deduplication + Duplicate key report: Record quality audit + Exact row deduplication + Duplicate key report for supplied dataset storage records (used_mb, row_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent reports: (1) a record quality audit highlighting data issues across the supplied rows, (2) an exact row deduplication result identifying and removing fully identical rows, and (3) a duplicate key report flagging rows sharing the same key fields — all computed locally from the supplied data without any external lookups.

## 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-exact-row-deduplication-and-e0f0dd04/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)