# Record Routing Quality Audit: String Normalisation + IQR Outlier Flags

> Record Routing Quality Audit: String Normalisation + 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, string normalisation, and IQR-based outlier detection — for up to 200 rows of accepted/rejected record counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-203?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-string-normalisation-iqr-outlier-flags-99e57c9f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fvzW4TrLyjXU7QRYVp3S_

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-string-normalisation-iqr-outlier-flags-99e57c9f -d '<json body>'
```

Example prompt: Can you audit the quality of my record routing data, normalise the string fields, and flag any IQR outliers in the accepted_records column? I have 4 rows across two dataset groups (group-a and group-b) with dates from 2026-10-01 to 2026-10-04.

## When to prefer this

Choose this endpoint when you need a fast, self-contained, three-in-one analytical pass on record routing data — covering quality auditing, string normalisation, and IQR outlier detection — without any external API calls or live data lookups. Ideal for pre-ingestion validation, pipeline monitoring, or ad-hoc data quality checks on batches up to 200 rows at very low cost ($0.01 USDC for all three reports).

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds batch limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, date, accepted_records, rejected_records) — validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Invalid field enum value — must be 'accepted_records' or 'rejected_records'

## How this service works

Record routing — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + 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

Returns three independent reports for up to 200 supplied rows: (1) a record quality audit highlighting missing, malformed, or inconsistent values; (2) a string normalisation report cleaning dataset_group and other text fields; and (3) IQR-based outlier flags identifying statistically anomalous rows in the chosen numeric field (accepted_records or rejected_records). All analysis is performed 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",
     "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-string-normalisation-iqr-outlier-flags-99e57c9f/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)