# Document Section Coverage — Numeric Row Ordering + Daily Sum Series

> Document Section Coverage — Numeric Row Ordering + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Computes numeric row ordering and daily sum series for document section coverage data (present_sections, required_sections) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-01-114?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/document-section-coverage-numeric-row-ordering-daily-sum-series-8785b593
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_e2ri7g7A_n6rjMMyotcbE

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-numeric-row-ordering-daily-sum-series-8785b593 -d '<json body>'
```

Example prompt: I have document section coverage records with dates, document groups, and counts of present and required sections — can you run numeric row ordering and a daily sum series on the present_sections field for up to 200 rows and give me both reports?

## When to prefer this

Choose this endpoint when you have tabular document section coverage records and need both a ranked ordering of rows and a time-aggregated daily sum in a single cost-efficient call ($0.01 USDC for up to 200 rows). Ideal for compliance tracking, editorial workflows, or documentation audits where you want to identify high/low coverage days and rank individual records simultaneously without any external data dependencies.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection or parse error
- Missing required fields (row_id, date, present_sections, required_sections) causes validation failure
- Null values in numeric fields may affect sum and ordering calculations
- field enum value not matching 'present_sections' or 'required_sections' causes validation error

## How this service works

Document section coverage — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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 derived from the supplied rows: (1) a numeric row ordering ranking each row by the selected field (present_sections or required_sections), and (2) a daily sum series aggregating the selected field by date — both computed locally without any external lookups or live data.

## 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-numeric-row-ordering-daily-sum-series-8785b593/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)