# Knowledge Base Maintenance — Numeric Interval Filter + Two-Measure Correlation

> Knowledge Base Maintenance — Numeric Interval Filter + Two-Measure Correlation 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).

Filters knowledge base maintenance records by a numeric interval and computes the correlation between updated_articles and due_articles across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-16-131?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-numeric-interval-filter-two-measure-cccfdb1b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TqhIuuWmNAUmTY17m-xRX

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-numeric-interval-filter-two-measure-cccfdb1b -d '<json body>'
```

Example prompt: Analyze my knowledge base maintenance data — I have up to 50 records with updated_articles and due_articles per document group — filter to rows where updated_articles is between 5 and 100, then give me the correlation between updated_articles and due_articles.

## When to prefer this

Choose this endpoint when you need to simultaneously (a) restrict a knowledge base maintenance dataset to a specific numeric range on one of its two measures and (b) quantify the linear relationship between updated_articles and due_articles in a single $0.01 call. It is ideal for content operations teams that want to understand whether article update activity tracks with article due counts across document groups, without sending data to an external prediction or lookup service.

## Known failure modes

- Fewer than 1 row provided — minItems validation error
- More than 200 rows provided — maxItems exceeded
- Field value not one of updated_articles or due_articles — enum validation error
- minimum greater than maximum — may yield empty filtered set with no correlation possible
- null values in both measures — correlation undefined or returned as null
- date fields not matching YYYY-MM-DD pattern — schema validation error
- Non-numeric values in updated_articles or due_articles fields — type validation error

## How this service works

Knowledge base maintenance — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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 analytical reports: (1) the subset of input rows whose specified field values fall within the given numeric interval [minimum, maximum], and (2) the Pearson or equivalent correlation between updated_articles and due_articles across those rows. Both reports are computed locally from the supplied 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"
  },
  "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/knowledge-base-maintenance-numeric-interval-filter-two-measure-cccfdb1b/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)