# Structured Data Observations — Record Quality Audit + String Normalisation + Numeric Row Ordering

> Structured Data Observations — Record Quality Audit + String Normalisation + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Audits record quality, normalises strings, and orders rows numerically for up to 200 rows of structured observations data containing valid_items and total_items fields, producing 3 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-08-196?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/structured-data-observations-record-quality-audit-string-4c4a69e3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6gCUbXKfnAXSCFMMon7io

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 structured-data-observations-record-quality-audit-string-4c4a69e3 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and numeric row ordering on my structured observations data? I have rows with site_group, date, valid_items, and total_items — up to 50 rows — and I want to analyse the valid_items field.

## When to prefer this

Choose this endpoint when you need a bundled three-in-one local data quality analysis — record auditing, string normalisation, and numeric ordering — on tabular structured observation data with valid_items and total_items fields, without requiring external lookups, predictions, or live data. It is cost-effective at $0.01 USDC for all three reports on up to 200 rows. Prefer it over single-report alternatives when you need all three analytical angles in one call.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, valid_items, total_items) causes rejection
- Invalid date format (non YYYY-MM-DD) triggers a schema error
- Numeric values outside allowed range (-1e12 to 1e12) are rejected
- Invalid field enum value (not valid_items or total_items) causes error
- Empty rows array returns an error

## How this service works

Structured data observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied structured data observations records (valid_items, total_items). 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 analytical reports: (1) a record quality audit identifying missing, null, or malformed values across the supplied rows; (2) a string normalisation report for text fields such as site_group; and (3) a numeric row ordering report ranking rows by the selected numeric field (valid_items or total_items). All reports are generated locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/structured-data-observations-record-quality-audit-string-4c4a69e3/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)