# Duplicate Observations — Record Quality Audit + Exact Row Deduplication

> Duplicate Observations — Record Quality Audit + Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).

Performs a record quality audit and exact row deduplication analysis on supplied duplicate_rows/total_rows data, returning two independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-002?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/duplicate-observations-record-quality-audit-exact-row-deduplication-4f2b0c27
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HjW_W73FaWBQ5y3XHUGAv

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 duplicate-observations-record-quality-audit-exact-row-deduplication-4f2b0c27 -d '<json body>'
```

Example prompt: Run a duplicate observation audit and exact row deduplication report on my dataset — I have 4 rows: row-1 on 2026-10-01 in group-a with 10 duplicates out of 1 total, row-2 on 2026-10-02 in group-b with 20 duplicates out of 2 total, row-3 on 2026-10-03 in group-a with 15 duplicates out of 3 total, and row-4 on 2026-10-04 in group-b with 30 duplicates out of 4 total.

## When to prefer this

Choose this endpoint when you need both a record quality audit and exact row deduplication analysis on structured duplicate-observation data (with duplicate_rows and total_rows fields) in a single call. It is ideal for batch data quality workflows involving up to 200 rows grouped by dataset and date. Prefer this over general-purpose analytics when the data is already structured with row_id, dataset_group, date, duplicate_rows, and total_rows — and when you want two independent reports for the price of one API call.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error
- Date field not matching YYYY-MM-DD format — schema validation failure
- duplicate_rows or total_rows outside allowed numeric range — rejection
- Empty rows array — minimum 1 item required
- Payment not completed (x402) — endpoint returns 402 status

## How this service works

Duplicate observations — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication for supplied duplicate observations records (duplicate_rows, total_rows). 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 summarizing duplicate rates, data integrity metrics, and per-row/group breakdowns; and (2) an exact row deduplication report identifying and quantifying exact duplicate records across the supplied dataset. Both reports are computed locally using shared analytical engines on up to 200 input rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/duplicate-observations-record-quality-audit-exact-row-deduplication-4f2b0c27/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)