# Page Weight Observations — Record Quality Audit + String Normalisation + Date by Category Pivot

> Page Weight Observations — 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 2026-10-30).

Runs three local analytical reports on page weight observation records: a record quality audit, string normalisation, and a date-by-category pivot for page_kb or resource_count fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-06-206?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/page-weight-observations-record-quality-audit-string-normalisation-b6604f34
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_htuU4qPbH_LnSR0L-kErC

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 page-weight-observations-record-quality-audit-string-normalisation-b6604f34 -d '<json body>'
```

Example prompt: Can you audit my page weight observation records for quality issues, normalise the site_group strings, and pivot the page_kb values by date and category? I have 4 rows: row-1 on 2026-10-01 for group-a with page_kb=10 and resource_count=1, row-2 on 2026-10-02 for group-b with page_kb=20 and resource_count=2, row-3 on 2026-10-03 for group-a with page_kb=15 and resource_count=3, row-4 on 2026-10-04 for group-b with page_kb=30 and resource_count=4.

## When to prefer this

Choose this endpoint when you have up to 200 page weight observation records (with page_kb and resource_count fields) and need all three of a quality audit, string normalisation, and date-by-category pivot in a single low-cost call. It is ideal for batch pre-processing of web performance datasets before reporting, and where no live lookups, predictions, or external data enrichment are needed.

## Known failure modes

- Exceeding 200-row limit causes rejection
- Rows missing required fields (row_id, site_group, date, page_kb, resource_count) will fail schema validation
- Dates not matching YYYY-MM-DD pattern will be rejected
- Invalid field enum value (anything other than page_kb or resource_count) will cause an error
- Empty rows array will fail minItems constraint

## How this service works

Page weight observations — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot for supplied page weight observations records (page_kb, resource_count). 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 for the supplied dataset (up to 200 rows): (1) a record quality audit highlighting missing values, anomalies, or structural issues; (2) a string normalisation report for the site_group field; and (3) a date-by-category pivot table for the selected numeric field (page_kb or resource_count), all computed locally without external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/page-weight-observations-record-quality-audit-string-normalisation-b6604f34/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)