# Archive Retrieval IQR Outlier Flags + Date by Category Pivot

> Archive Retrieval IQR Outlier Flags + Date by Category Pivot 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 two analytical reports on archive retrieval data: IQR-based outlier flagging and a date-by-category pivot, for up to 200 rows of retrieved/attempted page counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-22-178?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/archive-retrieval-iqr-outlier-flags-date-by-category-pivot-168dad38
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ppUxbD1BDi803GC1mHE4P

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 archive-retrieval-iqr-outlier-flags-date-by-category-pivot-168dad38 -d '<json body>'
```

Example prompt: Can you analyze my archive retrieval records for outliers and give me a date-by-category pivot? I have up to 50 rows with site_group, date, retrieved_pages, and attempted_pages fields — flag the IQR outliers on retrieved_pages.

## When to prefer this

Choose this endpoint when you have archive retrieval records (with retrieved_pages and attempted_pages metrics across site groups and dates) and need both outlier detection and a categorical pivot in a single cheap call. Ideal for batch post-processing of crawl logs, audit pipelines, or quality checks on archiving runs where you already have the data and need offline statistical analysis without any live lookups or external data enrichment.

## Known failure modes

- Fewer than 1 row provided — request rejected
- More than 200 rows provided — exceeds maximum, request rejected
- Missing required fields (row_id, site_group, date, retrieved_pages, attempted_pages) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Field enum value not one of retrieved_pages or attempted_pages — invalid input
- Insufficient data spread for meaningful IQR computation (e.g. all identical values) — may produce trivial or empty outlier flags

## How this service works

Archive retrieval — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied archive retrieval records (retrieved_pages, attempted_pages). 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

Two analytical reports delivered together: (1) an IQR outlier flag report identifying which rows have retrieved_pages or attempted_pages values outside the interquartile range, and (2) a date-by-category pivot table grouping the selected numeric field by date and site_group. Both reports are computed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/archive-retrieval-iqr-outlier-flags-date-by-category-pivot-168dad38/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)