# Page Extraction Coverage — Record Quality Audit + Date by Category Pivot

> Page Extraction Coverage — Record Quality Audit + 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 two local analytical reports on page extraction coverage data: a record quality audit and a date-by-category pivot, for up to 200 rows of extracted/expected field counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-02-017?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-extraction-coverage-record-quality-audit-date-by-category-pivot-6315981b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mQ2GFpXcVnEkpsgUYr6S9

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-extraction-coverage-record-quality-audit-date-by-category-pivot-6315981b -d '<json body>'
```

Example prompt: Can you run a record quality audit and date-by-category pivot on my page extraction coverage data? I have rows with site_group, date, extracted_fields, and expected_fields — here's my dataset of up to 200 rows — and I want both reports back together.

## When to prefer this

Choose this endpoint when you have page extraction coverage records (with extracted_fields and expected_fields per site group and date) and need both a data quality audit and a date-by-category pivot in a single call. It is ideal for scraping pipeline operators, data engineers, or analysts who want quick, locally-computed QA and summary analytics on small-to-medium datasets (up to 200 rows) without exposing data to external prediction or lookup services.

## Known failure modes

- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds row limit
- Missing required fields (row_id, site_group, date, extracted_fields, expected_fields) in any row — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Null values in extracted_fields or expected_fields may be flagged in quality audit but are allowed by schema
- Payment of 0.01 USDC not attached — 402 payment required response

## How this service works

Page extraction coverage — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied page extraction coverage records (extracted_fields, expected_fields). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Two analytical reports: (1) a record quality audit flagging missing, null, or anomalous values in the extraction coverage records, and (2) a date-by-category pivot summarizing the selected field (extracted_fields or expected_fields) grouped by date and site_group. Both reports are computed 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",
     "extracted_fields",
     "expected_fields"
    ],
    "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
     },
     "expected_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "extracted_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "site_group": "group-a",
     "expected_fields": 1,
     "extracted_fields": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "site_group": "group-b",
     "expected_fields": 2,
     "extracted_fields": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "site_group": "group-a",
     "expected_fields": 3,
     "extracted_fields": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "site_group": "group-b",
     "expected_fields": 4,
     "extracted_fields": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "extracted_fields",
    "expected_fields"
   ],
   "type": "string",
   "default": "extracted_fields"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/page-extraction-coverage-record-quality-audit-date-by-category-pivot-6315981b/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)