# Record Routing Analytics: Quality Audit + String Normalisation + Date Pivot

> Record Routing Analytics: Quality Audit + String Normalisation + Date Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Runs three bundled analytical reports on record routing data — quality audit, string normalisation, and date-by-category pivot — for up to 200 rows of accepted/rejected record counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-206?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/record-routing-analytics-quality-audit-string-normalisation-date-pivot-b76e1296
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Csl-ZwPJqaY7187p8LVCG

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-analytics-quality-audit-string-normalisation-date-pivot-b76e1296 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and date-by-category pivot on my record routing data? I have rows with dataset groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyse the accepted_records field.

## When to prefer this

Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and date pivot — on record routing data in a single $0.01 call. It is ideal for ETL validation workflows, data pipeline monitoring, and pre-reporting data hygiene checks where you have up to 200 rows of accepted/rejected routing records and want all three reports without making separate API calls.

## Known failure modes

- Rows array empty or missing — minimum 1 row required
- More than 200 rows submitted — exceeds maximum batch size
- Invalid date format — must match YYYY-MM-DD pattern
- row_id missing or empty — required field per row
- accepted_records or rejected_records outside numeric bounds (-1e12 to 1e12)
- Invalid field enum value — must be 'accepted_records' or 'rejected_records'
- Payment not included or insufficient — endpoint costs $0.01 USDC per call

## How this service works

Record routing — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot 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 delivered together: (1) a record quality audit flagging issues in the supplied routing data, (2) string normalisation output for text fields, and (3) a pivot table of accepted or rejected record counts grouped by date and category. All computed locally from the supplied rows 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-analytics-quality-audit-string-normalisation-date-pivot-b76e1296/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)