# Knowledge Base Maintenance — Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering

> Knowledge Base Maintenance — Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering 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).

Runs three independent analytical reports (record quality audit, exact row deduplication, and numeric row ordering) on up to 200 knowledge base maintenance records containing updated_articles and due_articles fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-16-213?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-record-quality-audit-exact-row-5db0fc80
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mSEL7cVZlZOor8QtoypBo

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-record-quality-audit-exact-row-5db0fc80 -d '<json body>'
```

Example prompt: Can you audit, deduplicate, and numerically order my knowledge base maintenance records? I have rows with fields like row_id, document_group, date, updated_articles, and due_articles — I want all three reports run on the updated_articles field for up to 200 rows.

## When to prefer this

Choose this endpoint when you need all three data maintenance operations — quality audit, exact deduplication, and numeric ordering — run together on the same batch of knowledge base records in a single cost-efficient call ($0.01 USDC for all three reports). Ideal when your data is already structured with row_id, document_group, date, and article count fields and you want purely local analytical processing with no external data lookups or predictions.

## Known failure modes

- Input array is empty or missing (minItems: 1 violated)
- More than 200 rows submitted (maxItems: 200 exceeded)
- date field does not match YYYY-MM-DD pattern
- row_id missing or empty (minLength: 1 violated)
- field enum value not one of 'updated_articles' or 'due_articles'
- Numeric fields (updated_articles, due_articles) out of allowed range (±1,000,000,000,000)
- Additional properties included in row objects (additionalProperties: false)

## How this service works

Knowledge base maintenance — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering 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

Three independent analytical reports: (1) a record quality audit flagging missing, null, or anomalous values in the supplied rows; (2) an exact row deduplication report identifying and grouping identical rows; and (3) a numeric row ordering report sorting rows by the selected numeric field (updated_articles or due_articles). All computed locally from submitted 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-record-quality-audit-exact-row-5db0fc80/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)