# Document Section Coverage — String Normalisation + Exact Row Deduplication

> Document Section Coverage — String Normalisation + Exact Row Deduplication 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).

Normalises strings and deduplicates rows in document section coverage records, producing two analytical reports on present vs. required section counts for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-01-020?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-string-normalisation-exact-row-deduplication-f17cdc38
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dhq-MVMdmNc_hFCb-mLwy

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-exact-row-deduplication-f17cdc38 -d '<json body>'
```

Example prompt: Can you clean up these document section coverage records — normalize the strings and remove any exact duplicate rows? I have up to 200 rows, each with a row_id, document_group, date, present_sections count, and required_sections count, and I need two reports back.

## When to prefer this

Choose this endpoint when you need lightweight, offline string normalisation and exact duplicate removal on document section coverage datasets (up to 200 rows) without any live data lookups or external integrations. It is ideal for preprocessing document completeness records before downstream analysis, or for quick data quality audits on present/required section counts across document groups.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, present_sections, required_sections) — row rejected or error returned
- Date field not matching YYYY-MM-DD pattern — validation error
- present_sections or required_sections values outside allowed numeric range — validation error
- Empty rows array — error returned

## How this service works

Document section coverage — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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 analytical reports: one covering string normalisation results and one covering exact row deduplication findings across the submitted document section coverage records (up to 200 rows), based entirely on the 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/document-section-coverage-string-normalisation-exact-row-deduplication-f17cdc38/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)