# Record Routing Quality Audit: Deduplication + IQR Outlier Flags

> Record Routing Quality Audit: Deduplication + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Runs three local analytical reports on record routing data — a quality audit, exact row deduplication, and IQR-based outlier flagging — for up to 200 rows of accepted/rejected record counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-220?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/record-routing-quality-audit-deduplication-iqr-outlier-flags-2adb2bda
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3em_mtwgm0U2o0iBp88Ve

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 record-routing-quality-audit-deduplication-iqr-outlier-flags-2adb2bda -d '<json body>'
```

Example prompt: Can you audit my record routing data for quality issues, exact duplicates, and IQR outlier flags? I have rows with row_id, dataset_group, date, accepted_records, and rejected_records — check the accepted_records field across these 4 rows: row-1/group-a/2026-10-01 with 10 accepted and 1 rejected, row-2/group-b/2026-10-02 with 20 accepted and 2 rejected, row-3/group-a/2026-10-03 with 15 accepted and 3 rejected, row-4/group-b/2026-10-04 with 300 accepted and 4 rejected.

## When to prefer this

Choose this endpoint when you need a quick, low-cost ($0.01) local analytical pass over a batch of record routing data (up to 200 rows) to get three reports simultaneously: data quality audit, exact deduplication, and IQR outlier detection. Ideal for ETL validation, pre-load sanity checks, and pipeline monitoring where no external lookup or prediction is needed.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, dataset_group, accepted_records, rejected_records) cause validation errors
- Date fields not matching YYYY-MM-DD pattern will fail schema validation
- Null values in numeric fields are allowed but may reduce outlier detection accuracy
- Invalid field enum value (not 'accepted_records' or 'rejected_records') causes error

## How this service works

Record routing — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied record routing records (accepted_records, rejected_records). 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

Three independent analytical reports: (1) a record quality audit identifying missing values, format issues, and anomalies; (2) an exact row deduplication report listing duplicate rows; and (3) IQR-based outlier flags marking statistically unusual values in the selected field (accepted_records or rejected_records). All analysis is performed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "accepted_records",
     "rejected_records"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "accepted_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "rejected_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "accepted_records": 10,
     "rejected_records": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "accepted_records": 20,
     "rejected_records": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "accepted_records": 15,
     "rejected_records": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "accepted_records": 30,
     "rejected_records": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "accepted_records",
    "rejected_records"
   ],
   "type": "string",
   "default": "accepted_records"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/record-routing-quality-audit-deduplication-iqr-outlier-flags-2adb2bda/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)