# Document Section Coverage — String Normalisation + Numeric Row Ordering

> Document Section Coverage — 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).

Normalises string fields and applies numeric row ordering to document section coverage records (present_sections, required_sections) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-01-025?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-string-normalisation-numeric-row-ordering-5020ac28
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_q89Z0DB2HG4wjx3QttpOP

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-string-normalisation-numeric-row-ordering-5020ac28 -d '<json body>'
```

Example prompt: Can you run string normalisation and numeric row ordering on my document section coverage data? I have rows with row_id, document_group, date, present_sections, and required_sections — up to 50 rows across groups like 'compliance-docs' and 'onboarding-guides', and I want the field 'present_sections' analysed across both reports.

## When to prefer this

Choose this endpoint when you need lightweight, offline string normalisation and numeric ordering for document section coverage records without any live data lookup, external API calls, or predictive modelling. Ideal for batches up to 200 rows where you need two consistent analytical passes (string and numeric) in a single low-cost call. Not suitable for real-time document retrieval, natural language generation, or coverage prediction.

## Known failure modes

- More than 200 rows submitted — request rejected at maximum item limit
- Missing required fields (row_id, document_group, date, present_sections, required_sections) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) triggers schema rejection
- Null values in present_sections or required_sections may affect numeric ordering output
- Invalid field selector (not 'present_sections' or 'required_sections') causes enum validation failure

## How this service works

Document section coverage — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied document section coverage records (present_sections, required_sections). 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 independent analytical reports covering: (1) string-normalised versions of the input document section coverage records, and (2) rows reordered numerically by the selected field (present_sections or required_sections). Reports are generated locally without external lookups or predictions.

## 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-string-normalisation-numeric-row-ordering-5020ac28/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)