# Document Section Coverage — Record Quality Audit + String Normalisation + Numeric Row Ordering

> Document Section Coverage — 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 2026-10-30).

Audits record quality, normalises strings, and orders rows numerically for document section coverage data (present_sections, required_sections) across up to 200 rows, producing 3 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-01-196?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/document-section-coverage-record-quality-audit-string-normalisation-47cacdb0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HrJwrXDXYbaRl33ZoOQfK

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 document-section-coverage-record-quality-audit-string-normalisation-47cacdb0 -d '<json body>'
```

Example prompt: Run a record quality audit, string normalisation, and numeric row ordering on my document section coverage data — I have 4 rows with document groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and present_sections values of 10, 20, 15, 30 against required_sections of 1, 2, 3, 4. Use 'present_sections' as the field to order by.

## When to prefer this

Choose this endpoint when you need three bundled analytical operations — record quality audit, string normalisation, and numeric ordering — applied simultaneously to document section coverage data at low cost ($0.01 for all three reports on up to 200 rows). Prefer this over separate tools when your data involves present_sections and required_sections fields and you want offline, deterministic analysis with no external API calls or predictions.

## Known failure modes

- Fewer than 1 row supplied — rejected with validation error
- More than 200 rows supplied — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — rejected by pattern validation
- Missing required fields (row_id, document_group, date, present_sections, required_sections) — rejected
- Invalid field enum value (not 'present_sections' or 'required_sections') — rejected
- Numeric values outside allowed range (±1,000,000,000,000) — rejected

## How this service works

Document section coverage — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied document section coverage records (present_sections, required_sections). 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: (1) a record quality audit flagging missing, null, or out-of-range values in the supplied rows; (2) a string normalisation report standardising text fields like document_group; (3) a numeric row ordering report ranking rows by the selected field (present_sections or required_sections). All reports are computed locally from supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/document-section-coverage-record-quality-audit-string-normalisation-47cacdb0/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)