# Duplicate Observations — Record Quality Audit + Numeric Interval Filter

> Duplicate Observations — Record Quality Audit + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).

Audits record quality and applies a numeric interval filter to supplied duplicate-observation data (duplicate_rows, total_rows), returning two independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-008?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/duplicate-observations-record-quality-audit-numeric-interval-filter-9bd09f71
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_f59iifk0mnAgTyrustX-k

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-numeric-interval-filter-9bd09f71 -d '<json body>'
```

Example prompt: Can you audit the record quality of my duplicate observations and filter them by duplicate_rows between 0 and 50? Here are the rows: row-1 for group-a on 2026-10-01 with 10 duplicate_rows out of 100 total_rows, row-2 for group-b on 2026-10-02 with 25 duplicate_rows out of 200 total_rows, and row-3 for group-a on 2026-10-03 with 60 duplicate_rows out of 150 total_rows.

## When to prefer this

Choose this endpoint when you need a combined record quality audit AND numeric interval filter on duplicate observation data (duplicate_rows and total_rows fields) in a single call, without requiring any external data lookup or live database access. It is ideal for offline or batch data quality checks on datasets up to 200 rows where you already have the duplicate counts in hand. Prefer it over general-purpose analytics when you specifically need two co-located reports — quality audit plus interval filtering — on duplicate record metrics.

## Known failure modes

- Fewer than 1 row supplied — request rejected (minItems: 1)
- More than 200 rows supplied — request rejected (maxItems: 200)
- Invalid date format (must be YYYY-MM-DD) — validation error
- row_id missing or empty — required field error
- Field enum value not 'duplicate_rows' or 'total_rows' — validation error
- Numeric values outside ±1,000,000,000,000 range — validation error
- Payment of 0.01 USDC not completed — 402 Payment Required

## How this service works

Duplicate observations — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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

Two independent analytical reports: (1) a record quality audit assessing the supplied duplicate observation records, and (2) a numeric interval filter report identifying which rows' chosen field values (duplicate_rows or total_rows) fall within the specified minimum/maximum range. No external lookups or predictions are made — all analysis is performed locally on the supplied data.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/duplicate-observations-record-quality-audit-numeric-interval-filter-9bd09f71/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)