# Knowledge Base Maintenance Analytics — Numeric Distribution + Daily Sum Series

> Knowledge Base Maintenance Analytics — Numeric Distribution + 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 distribution statistics and a daily sum time series for knowledge base maintenance metrics (updated_articles, due_articles) across up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-16-075?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/knowledge-base-maintenance-analytics-numeric-distribution-daily-sum-d25dd330
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FAWjuUQEZA6rmdmdGHS3b

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 knowledge-base-maintenance-analytics-numeric-distribution-daily-sum-d25dd330 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and daily sum series on my knowledge base maintenance data? I have rows with document_group, date, updated_articles, and due_articles — analyze the updated_articles field across these 4 records: row-1 on 2026-10-01 in group-a with 10 updated and 1 due, row-2 on 2026-10-02 in group-b with 20 updated and 2 due, row-3 on 2026-10-03 in group-a with 15 updated and 3 due, and row-4 on 2026-10-04 in group-b with 30 updated and 4 due.

## When to prefer this

Choose this endpoint when you need two simultaneous statistical reports — a numeric distribution and a daily sum time series — on knowledge base maintenance metrics (article updates or due counts) from your own supplied data. It is ideal when you have up to 200 rows of KB maintenance records and want cost-efficient batch analytics ($0.01 for both reports) without any external API calls, live lookups, or predictions. Prefer this over single-report endpoints when you need both distribution and time series views in one call.

## Known failure modes

- Missing required fields (row_id, document_group, date, updated_articles, due_articles) cause validation errors
- Date format not matching YYYY-MM-DD pattern results in schema rejection
- Exceeding 200 rows returns an error due to maxItems constraint
- Null numeric values in the selected field may affect distribution calculations
- Invalid field enum value (anything other than 'updated_articles' or 'due_articles') causes rejection
- Empty rows array (minItems: 1 not met) returns validation error

## How this service works

Knowledge base maintenance — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series for supplied knowledge base maintenance records (updated_articles, due_articles). 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 independent analytical reports for the selected numeric field (updated_articles or due_articles): (1) a numeric distribution report showing statistical spread, frequency buckets, min/max/mean/percentile data, and (2) a daily sum series showing aggregated totals by date. Both reports are computed locally from the supplied row data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "document_group",
     "date",
     "updated_articles",
     "due_articles"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "due_articles": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "document_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "updated_articles": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "due_articles": 1,
     "document_group": "group-a",
     "updated_articles": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "due_articles": 2,
     "document_group": "group-b",
     "updated_articles": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "due_articles": 3,
     "document_group": "group-a",
     "updated_articles": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "due_articles": 4,
     "document_group": "group-b",
     "updated_articles": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "updated_articles",
    "due_articles"
   ],
   "type": "string",
   "default": "updated_articles"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/knowledge-base-maintenance-analytics-numeric-distribution-daily-sum-d25dd330/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)