# Document Section Coverage — Exact Row Deduplication + Numeric Interval Filter

> Document Section Coverage — Exact Row Deduplication + Numeric Interval Filter 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).

Deduplicates document section coverage rows and filters them by a numeric interval on present_sections or required_sections, returning up to 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-01-043?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-exact-row-deduplication-numeric-interval-2724aa8a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zGbJLKxw8nrzyylqOKJTV

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-exact-row-deduplication-numeric-interval-2724aa8a -d '<json body>'
```

Example prompt: I have up to 150 document section coverage records with present_sections and required_sections values — can you deduplicate the rows exactly and then filter to only keep records where present_sections is between 5 and 50, giving me 2 analytical reports?

## When to prefer this

Choose this endpoint when you need to clean and filter document section coverage data locally — specifically when you want exact duplicate row removal combined with a numeric range filter on section counts, and you need two structured analytical reports from a single call for up to 200 rows. It is best suited for batch data quality and coverage auditing tasks where no external data enrichment or live lookup is required.

## Known failure modes

- Exceeding 200 rows returns an error or truncation
- Missing required fields (row_id, date, present_sections, required_sections) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers a schema error
- minimum greater than maximum produces an empty interval-filtered result
- Null values in present_sections or required_sections may be excluded from interval filtering

## How this service works

Document section coverage — Exact row deduplication + Numeric interval filter: Exact row deduplication + Numeric interval filter 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

Returns up to 2 analytical reports covering: (1) exact row deduplicated results from the supplied document section coverage records, and (2) rows filtered to those whose selected numeric field (present_sections or required_sections) falls within the specified minimum–maximum interval. Reports are generated locally with no 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/document-section-coverage-exact-row-deduplication-numeric-interval-2724aa8a/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)