# Transformation Throughput Analytics — IQR Outlier Flags + Secondary-Measure Weighted Mean

> Transformation Throughput Analytics — IQR Outlier Flags + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Analyzes transformation throughput records (processed_rows, duration_seconds) to produce IQR-based outlier flags and a secondary-measure weighted mean, delivered as two independent reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-177?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transformation-throughput-analytics-iqr-outlier-flags-secondary-ed3ca81e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vuMdWRfND9O6RXxm3fN1M

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 transformation-throughput-analytics-iqr-outlier-flags-secondary-ed3ca81e -d '<json body>'
```

Example prompt: Can you analyze these 50 transformation job records — with fields row_id, dataset_group, date, processed_rows, and duration_seconds — and give me IQR outlier flags plus a weighted mean on processed_rows as the primary field?

## When to prefer this

Choose this endpoint when you have up to 200 transformation throughput records and need both IQR-based outlier detection and a weighted mean in a single call for a flat $0.01 USDC fee. It is ideal for data engineers or analysts who want fast, local statistical summaries of ETL job performance without needing external data, predictions, or professional assessments. Prefer alternatives if you need more than 200 rows, real-time monitoring, or additional statistical methods beyond IQR and weighted mean.

## Known failure modes

- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds max item limit
- Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values for both measures may cause degraded or undefined weighted mean output
- Invalid field enum value (not 'processed_rows' or 'duration_seconds') — rejected by schema

## How this service works

Transformation throughput — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied transformation throughput records (processed_rows, duration_seconds). 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: (1) IQR-based outlier flags for each row indicating whether the primary measure falls outside the interquartile range, and (2) a weighted mean of the secondary measure across the supplied records. Both reports are computed locally from the submitted data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-analytics-iqr-outlier-flags-secondary-ed3ca81e/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)