# Duplicate Observations Analytics — Record Quality Audit, Exact Row Deduplication & Duplicate Key Report

> Duplicate Observations Analytics — Record Quality Audit, Exact Row Deduplication & 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).

Analyzes supplied duplicate-observation records to produce three independent reports: a record quality audit, an exact row deduplication result, and a duplicate key report — all processed locally without external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-209?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/duplicate-observations-analytics-record-quality-audit-exact-row-c2bff935
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GmYbQhnkSsj-lgSVRRKj3

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-analytics-record-quality-audit-exact-row-c2bff935 -d '<json body>'
```

Example prompt: Can you run a record quality audit, exact row deduplication, and duplicate key report on these 4 observation records — row-1 for group-a on 2026-10-01 with 10 duplicate rows out of 1 total, row-2 for group-b on 2026-10-02 with 20 duplicates out of 2 total, row-3 for group-a on 2026-10-03 with 15 duplicates out of 3 total, and row-4 for group-b on 2026-10-04 with 30 duplicates out of 4 total?

## When to prefer this

Choose this endpoint when you have tabular observation records with explicit duplicate_rows and total_rows counts and need all three analytical outputs — quality audit, deduplication, and key report — in a single low-cost call. It is ideal for batch data quality workflows on up to 200 rows where no external data lookup, ML prediction, or live data source is required. Prefer alternatives if you need real-time deduplication against a live database, fuzzy matching, or more than 200 rows per request.

## Known failure modes

- Submitting more than 200 rows returns an error — batch must be split
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) causes validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Null or out-of-range numeric values for duplicate_rows or total_rows may cause computation errors
- Empty rows array (minItems: 1 not met) returns a validation error

## How this service works

Duplicate observations — Record quality audit + Exact row deduplication + Duplicate key report: Record quality audit + Exact row deduplication + Duplicate key report for supplied duplicate observations records (duplicate_rows, total_rows). 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 analytical reports: (1) a record quality audit flagging data integrity issues across the submitted rows, (2) an exact row deduplication result identifying and removing identical records, and (3) a duplicate key report summarizing which keys appear multiple times — all derived entirely from the supplied data, up to 200 rows per call.

## 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-analytics-record-quality-audit-exact-row-c2bff935/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)