# Marketplace Charges — Record Quality Audit + String Normalisation + Date by Category Pivot

> Marketplace Charges — Record Quality Audit + String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Runs three local analytical reports on marketplace charge records: a record quality audit, string normalisation, and a date-by-category pivot — up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-16-206?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/marketplace-charges-record-quality-audit-string-normalisation-date-by-b4570a49
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MHSDQbh4poxfhrpe9QISX

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 marketplace-charges-record-quality-audit-string-normalisation-date-by-b4570a49 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and date-by-category pivot on these marketplace charge rows I have — I've got up to 50 records with row_id, store_group, date, gross_amount, and fee_amount, and I want the analysis focused on gross_amount?

## When to prefer this

Choose this endpoint when you need three simultaneous local analytical operations on marketplace charge data (quality audit, string normalisation, date pivot) in a single call without any external lookups or live data dependencies. It is well-suited for pre-reporting data hygiene checks on batches of up to 200 retail charge records with gross_amount and fee_amount fields.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, store_group, date, gross_amount, fee_amount) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside the ±1,000,000,000,000 range are rejected
- Empty rows array is not accepted (minItems: 1)
- Invalid field enum value (anything other than gross_amount or fee_amount) causes an error

## How this service works

Marketplace charges — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot for supplied marketplace charges records (gross_amount, fee_amount). 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 returned in the response: (1) a record quality audit flagging issues such as nulls, out-of-range values, and malformed dates; (2) a string normalisation report standardising store_group values; and (3) a date-by-category pivot summarising the selected numeric field (gross_amount or fee_amount) broken down by date and store group category.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/marketplace-charges-record-quality-audit-string-normalisation-date-by-b4570a49/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)