# Duplicate Observations Analytics — Record Quality Audit, String Normalisation & Base-100 Series

> Duplicate Observations Analytics — Record Quality Audit, String Normalisation & Base-100 Series 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).

Runs three local analytical reports on duplicate observation data: a record quality audit, string normalisation, and a base-100 index series — for up to 200 rows of duplicate_rows/total_rows data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-201?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-analytics-record-quality-audit-string-35cc8201
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tYj3OXJEjf1sFsDmyPgi9

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-string-35cc8201 -d '<json body>'
```

Example prompt: Run the three-report analytics bundle on my duplicate observation data — here are 4 rows with dataset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, duplicate_rows counts of 10, 20, 15, 30, and total_rows of 1, 2, 3, 4. Use duplicate_rows as the field and start the base-100 index at row 0.

## When to prefer this

Choose this endpoint when you have up to 200 rows of duplicate observation data (with duplicate_rows and total_rows fields) and need three bundled local analytical reports — quality audit, string normalisation, and base-100 index series — in a single low-cost call ($0.01 USDC). Prefer it over building custom analytics when you want fast, self-contained, no-external-lookup computation on structured duplicate tracking data. Not suitable for live data fetching, predictions, or datasets exceeding 200 rows per call.

## Known failure modes

- More than 200 rows submitted — API rejects with validation error
- Missing required fields (row_id, date, dataset_group, duplicate_rows, total_rows) cause row-level errors or rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- base_index out of range (>199 or negative) causes parameter rejection
- Numeric values outside allowed range (±1 trillion) fail schema validation
- Payment not included or insufficient USDC causes x402 payment-required response

## How this service works

Duplicate observations — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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 computed locally on the supplied rows: (1) a record quality audit flagging completeness, validity, and consistency issues; (2) a string normalisation report standardizing dataset_group and other string fields; and (3) a base-100 index series for the chosen numeric field (duplicate_rows or total_rows) anchored to the specified base_index row. No external lookups or predictions are made.

## 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
  },
  "field": {
   "enum": [
    "duplicate_rows",
    "total_rows"
   ],
   "type": "string",
   "default": "duplicate_rows"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/duplicate-observations-analytics-record-quality-audit-string-35cc8201/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)