# Knowledge Base Maintenance Analytics — Record Quality Audit + String Normalisation + Daily Sum Series

> Knowledge Base Maintenance Analytics — Record Quality Audit + String Normalisation + 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 2026-10-23).

Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 rows of knowledge base maintenance data (updated_articles, due_articles) for $0.01 USDC.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-16-198?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/knowledge-base-maintenance-analytics-record-quality-audit-string-757f0d94
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SPBY3vVKw_JjXg2E2QMVf

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-record-quality-audit-string-757f0d94 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and daily sum series on these knowledge base maintenance records? I have up to 50 rows with fields like row_id, document_group, date, updated_articles, and due_articles — use 'updated_articles' as the target field.

## When to prefer this

Choose this endpoint when you need three bundled analytical passes — quality audit, string normalisation, and daily sum aggregation — on knowledge base maintenance data in a single low-cost call. It is ideal for offline/batch data hygiene workflows where no live lookup, prediction, or external action is required and the dataset fits within 200 rows.

## Known failure modes

- Exceeding 200 rows returns an error or truncated results
- Missing required fields (row_id, document_group, date) causes validation failure
- Invalid date format (non-YYYY-MM-DD) triggers schema rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Payment of 0.01 USDC not attached causes 402 response

## How this service works

Knowledge base maintenance — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied knowledge base maintenance records (updated_articles, due_articles). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit flagging data issues in the supplied rows, (2) a string normalisation report for the document_group field, and (3) a daily sum series aggregating the selected numeric field (updated_articles or due_articles) by date — all computed locally 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-record-quality-audit-string-757f0d94/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)