# Duplicate Observations — Exact Row Deduplication + Duplicate Key Report

> Duplicate Observations — 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 2026-10-20).

Performs exact row deduplication and generates a duplicate key report for up to 200 supplied duplicate-observations records using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-038?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/duplicate-observations-exact-row-deduplication-duplicate-key-report-172dac1b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_51pVoy0oSr_1uaXeuzJEU

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-exact-row-deduplication-duplicate-key-report-172dac1b -d '<json body>'
```

Example prompt: I have a batch of dataset observations with duplicate_rows and total_rows counts per group and date — can you run exact row deduplication and generate a duplicate key report for these records? Here are 4 rows: row-1 in group-a on 2026-10-01 with 10 duplicate_rows out of 1 total_rows, row-2 in group-b on 2026-10-02 with 20 duplicate_rows out of 2 total_rows, row-3 in group-a on 2026-10-03 with 15 duplicate_rows out of 3 total_rows, and row-4 in group-b on 2026-10-04 with 30 duplicate_rows out of 4 total_rows.

## When to prefer this

Choose this endpoint when you have up to 200 pre-aggregated duplicate-observation records (with duplicate_rows and total_rows per group and date) and need both exact row deduplication and a duplicate key collision report in a single call for a flat $0.01 fee. Prefer it over general-purpose data tools when you specifically need the two-report bundle (deduplication + key audit) on structured observation data without any external data fetching or prediction.

## Known failure modes

- Submitting more than 200 rows causes rejection (maxItems: 200)
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) on any row causes validation failure
- Date field not matching YYYY-MM-DD pattern causes schema rejection
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) cause validation errors
- Empty rows array (minItems: 1) is rejected
- Payment failure via x402 protocol prevents execution

## How this service works

Duplicate observations — Exact row deduplication + Duplicate key report: Exact row deduplication + Duplicate key report 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) an exact row deduplication result identifying which supplied rows are exact duplicates, and (2) a duplicate key report flagging which row_ids or key combinations appear more than once — 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",
     "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-exact-row-deduplication-duplicate-key-report-172dac1b/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)