# Newsletter Preparation — Numeric Distribution + Secondary-Measure Weighted Mean

> Newsletter Preparation — Numeric Distribution + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Computes a numeric distribution and a secondary-measure weighted mean for newsletter preparation records (completed_items, planned_items) across up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-23-082?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/newsletter-preparation-numeric-distribution-secondary-measure-8fd19a01
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PMmamBaHm4nK2mE8ob9bn

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-numeric-distribution-secondary-measure-8fd19a01 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and secondary-measure weighted mean on my newsletter preparation data? I have 4 rows: row-1 on 2026-10-01 in group-a with 10 completed and 1 planned, row-2 on 2026-10-02 in group-b with 20 completed and 2 planned, row-3 on 2026-10-03 in group-a with 15 completed and 3 planned, row-4 on 2026-10-04 in group-b with 30 completed and 4 planned — analyze the completed_items field.

## When to prefer this

Choose this endpoint when you need both a numeric distribution and a secondary-measure weighted mean on newsletter preparation records (completed_items or planned_items) in a single call for up to 200 rows. It is a cost-effective option ($0.01 USDC for 2 reports) when you have structured, pre-collected data and do not need live lookups, predictions, or external enrichment. Prefer this over general-purpose analytics tools when your workflow is specifically organized around newsletter preparation document groups and dates.

## Known failure modes

- Exceeding 200 rows causes request rejection
- Missing required fields (row_id, document_group, date, completed_items, planned_items) triggers validation error
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Invalid field enum value (anything other than completed_items or planned_items) returns error
- Empty rows array is rejected (minItems: 1)

## How this service works

Newsletter preparation — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean 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 computed locally on the supplied data: (1) a numeric distribution of the specified field (completed_items or planned_items) across up to 200 rows, and (2) a secondary-measure weighted mean for the same dataset. No external data is fetched or predicted.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/newsletter-preparation-numeric-distribution-secondary-measure-8fd19a01/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)