# Document Section Coverage Analyzer — Record Quality Audit, String Normalisation & Two-Measure Correlation

> Document Section Coverage Analyzer — Record Quality Audit, String Normalisation & Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Runs three local analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 document section coverage records containing present_sections and required_sections fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-01-204?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/document-section-coverage-analyzer-record-quality-audit-string-4d45f764
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8vgaKxVuHosnDw85kKKJ7

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-analyzer-record-quality-audit-string-4d45f764 -d '<json body>'
```

Example prompt: Audit and analyse my document section coverage data — I have 4 rows for groups 'group-a' and 'group-b' dated 2026-10-01 through 2026-10-04, with present_sections values of 10, 20, 15, 30 and required_sections of 1, 2, 3, 4 respectively. Run the record quality audit, string normalisation, and two-measure correlation reports on this dataset.

## When to prefer this

Choose this endpoint when you need a combined, cost-efficient batch report covering data quality auditing, text normalisation, and correlation analysis for document section coverage records in a single call. It is best suited for offline or pipeline use cases where you already have the data (no live lookup needed) and want three analytical perspectives in one request for $0.01 USDC. Prefer alternatives if you need real-time document fetching, predictive models, or more than 200 rows per batch.

## Known failure modes

- Fewer than 1 row supplied returns a validation error
- More than 200 rows submitted exceeds the batch limit and is rejected
- Rows missing required fields (row_id, document_group, date, present_sections, required_sections) cause schema validation failures
- Dates not matching YYYY-MM-DD pattern are flagged or rejected
- Non-numeric values in present_sections or required_sections fields cause type errors
- Insufficient numeric variance in the two measures may result in undefined or degenerate correlation output

## How this service works

Document section coverage — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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

Returns three independent analytical reports: (1) a record quality audit identifying missing, malformed, or out-of-range values across the supplied rows; (2) a string normalisation report cleaning and standardising document_group and other text fields; and (3) a two-measure correlation report quantifying the statistical relationship between present_sections and required_sections across all rows. All processing is performed locally 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/document-section-coverage-analyzer-record-quality-audit-string-4d45f764/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)