# Newsletter Preparation — Grouped Numeric Summary + Numeric Interval Filter

> Newsletter Preparation — Grouped Numeric Summary + 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 2026-11-02).

Computes a grouped numeric summary and a numeric interval filter report for newsletter preparation records tracking completed and planned items, returning up to 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-23-088?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/newsletter-preparation-grouped-numeric-summary-numeric-interval-filter-52d70f21
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cxbT4ho6R1LkGUN39U_QC

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 newsletter-preparation-grouped-numeric-summary-numeric-interval-filter-52d70f21 -d '<json body>'
```

Example prompt: Can you analyze my newsletter preparation data — I have rows with document groups, dates, completed_items, and planned_items — and give me a grouped numeric summary by document_group plus filter the results to only rows where completed_items is between 5 and 50?

## When to prefer this

Choose this endpoint when you need both a grouped aggregation and a numeric range filter on newsletter preparation data (completed_items or planned_items) in a single low-cost call. It is ideal for lightweight, self-contained analytics on small to medium datasets (≤200 rows) without needing a full data warehouse or BI tool. Prefer it over general-purpose analytics APIs when the data is already structured with document_group, date, and item-count fields and you want two complementary views — summary and filter — in one round trip.

## Known failure modes

- Missing required fields (row_id, document_group, date, completed_items, planned_items) cause validation errors
- More than 200 rows submitted exceeds the row limit
- Invalid date format (not YYYY-MM-DD) triggers a pattern mismatch error
- Minimum value greater than maximum value may produce empty filter results
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is not accepted (minItems: 1)

## How this service works

Newsletter preparation — Grouped numeric summary + Numeric interval filter: Grouped numeric summary + Numeric interval filter for supplied newsletter preparation records (completed_items, planned_items). 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 two analytical reports: (1) a grouped numeric summary breaking down the chosen field (completed_items or planned_items) by document_group with aggregate statistics, and (2) a numeric interval filter listing rows where the chosen field falls within the specified minimum–maximum range. Both reports are computed locally from the supplied data without any external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "document_group",
     "date",
     "completed_items",
     "planned_items"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "planned_items": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "document_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "completed_items": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "planned_items": 1,
     "document_group": "group-a",
     "completed_items": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "planned_items": 2,
     "document_group": "group-b",
     "completed_items": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "planned_items": 3,
     "document_group": "group-a",
     "completed_items": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "planned_items": 4,
     "document_group": "group-b",
     "completed_items": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "completed_items",
    "planned_items"
   ],
   "type": "string",
   "default": "completed_items"
  },
  "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/newsletter-preparation-grouped-numeric-summary-numeric-interval-filter-52d70f21/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)