# Duplicate Observations Analytics: Quality Audit + Deduplication + Numeric Interval Filter

> Duplicate Observations Analytics: Quality Audit + Deduplication + 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 2026-10-20).

Runs three local analytical reports on supplied duplicate-observation records: a record quality audit, exact row deduplication, and a numeric interval filter on duplicate_rows or total_rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-214?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-quality-audit-deduplication-numeric-3c001b42
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_yFVaaGeoTLrLGmAkY5ceo

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-quality-audit-deduplication-numeric-3c001b42 -d '<json body>'
```

Example prompt: Can you run a quality audit, exact deduplication check, and a numeric interval filter on my duplicate observations dataset? I have 4 rows — group-a on 2026-10-01 had 10 duplicate rows out of 1 total, group-b on 2026-10-02 had 20 out of 2, group-a on 2026-10-03 had 15 out of 3, and group-b on 2026-10-04 had 30 out of 4 — filter on the duplicate_rows field between 0 and 100.

## When to prefer this

Choose this endpoint when you need a combined, lightweight, local-only analytical pass over a small-to-medium dataset (up to 200 rows) tracking duplicate and total row counts — specifically when you want all three capabilities (quality audit, deduplication, numeric filter) in a single low-cost call without any external API lookups or live data dependencies.

## Known failure modes

- More than 200 rows supplied — request is rejected; split into batches of ≤200
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors
- Date fields not matching YYYY-MM-DD pattern are rejected
- minimum greater than maximum causes an invalid interval filter
- Null values for duplicate_rows or total_rows may be excluded from numeric filter report
- Payment of 0.01 USDC not completed causes request rejection

## How this service works

Duplicate observations — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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 for the supplied rows: (1) a record quality audit flagging missing, malformed, or anomalous values; (2) an exact row deduplication report identifying and removing identical rows; and (3) a numeric interval filter report listing rows where the chosen field (duplicate_rows or total_rows) falls within the specified minimum–maximum range. All computed locally with no 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
  },
  "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-analytics-quality-audit-deduplication-numeric-3c001b42/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)