# Record Routing Quality Audit, String Normalisation & Duplicate Key Report

> Record Routing Quality Audit, String Normalisation & Duplicate Key Report 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 (quality audit, string normalisation, and duplicate key detection) on up to 200 record routing rows containing accepted and rejected record counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-192?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-duplicate-key-report-c51cfeb1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tpaZN-GnXm8N5XZEuNKkG

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-duplicate-key-report-c51cfeb1 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and duplicate key check on my record routing data — I have about 50 rows with accepted_records and rejected_records counts across several dataset groups from October 2026?

## When to prefer this

Choose this endpoint when you need to simultaneously run quality auditing, string normalisation, and duplicate key detection on record routing data (accepted/rejected record counts by dataset group and date) in a single cheap call. It is ideal for post-ETL validation pipelines, pre-merge data hygiene checks, or routine data quality monitoring on routing datasets of up to 200 rows. All processing is local and offline — do not use it when you need live external lookups, ML-based predictions, or professional data assessments.

## Known failure modes

- Batch exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, accepted_records, rejected_records) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- accepted_records or rejected_records values outside the allowed numeric range cause rejection
- Empty rows array returns an error

## How this service works

Record routing — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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 reports delivered for the submitted batch of up to 200 record routing rows: (1) a record quality audit flagging anomalies or data issues in the accepted_records and rejected_records fields, (2) a string normalisation report cleaning and standardising text fields such as dataset_group, and (3) a duplicate key report identifying any repeated row_id or dataset group combinations. 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/record-routing-quality-audit-string-normalisation-duplicate-key-report-c51cfeb1/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)