# Document Section Coverage — Adjacent Row Changes + Two-Measure Correlation

> Document Section Coverage — Adjacent Row Changes + 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 2026-10-26).

Analyzes document section coverage records by computing adjacent row changes and two-measure correlation across present_sections and required_sections fields (up to 200 rows, 2 reports).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-01-158?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/document-section-coverage-adjacent-row-changes-two-measure-correlation-07ba056b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6RcgSmdgB2ag1fEfr01JI

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-adjacent-row-changes-two-measure-correlation-07ba056b -d '<json body>'
```

Example prompt: Can you run adjacent row change analysis plus two-measure correlation on my document section coverage data? I have rows with present_sections and required_sections for groups like 'policy-docs' and 'compliance-forms' dated from 2025-01-01 to 2025-01-04, and I want to analyze present_sections.

## When to prefer this

Choose this endpoint when you have tabular document section coverage data (present_sections vs required_sections) and need both row-to-row change detection and two-measure statistical correlation in a single low-cost call. It is ideal for offline/batch analytical workflows on up to 200 rows where no live data lookup, prediction, or external action is needed.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, present_sections, required_sections) causing validation error
- Invalid date format (not YYYY-MM-DD) causing parsing failure
- Both measure fields null for all rows resulting in degenerate correlation output
- Malformed JSON input body returning a 4xx error

## How this service works

Document section coverage — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation 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: (1) an adjacent row changes report showing how present_sections or required_sections values shift between consecutive rows, and (2) a two-measure correlation report quantifying the statistical relationship between present_sections and required_sections across the supplied dataset (up to 200 rows).

## 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-adjacent-row-changes-two-measure-correlation-07ba056b/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)