# Transformation Throughput Analytics: Quality Audit + Deduplication + IQR Outlier Flags

> Transformation Throughput Analytics: Quality Audit + Deduplication + IQR Outlier Flags 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).

Runs three independent analytical reports on transformation throughput records — record quality audit, exact row deduplication, and IQR-based outlier flagging — for up to 200 rows of processed_rows/duration_seconds data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-220?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-quality-audit-deduplication-iqr-fb5d149c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wUXllhfj3iD9a3YEzTm4k

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-quality-audit-deduplication-iqr-fb5d149c -d '<json body>'
```

Example prompt: Can you audit my transformation throughput records for quality issues, exact duplicates, and IQR outliers? I have 150 rows with fields like row_id, dataset_group, date, processed_rows, and duration_seconds — run all three reports on the processed_rows field.

## When to prefer this

Choose this endpoint when you need simultaneous quality audit, exact deduplication, and IQR outlier detection on transformation throughput data (processed_rows, duration_seconds) in a single low-cost call. Ideal for data engineers validating ETL pipeline metrics before downstream use, especially when working with up to 200 rows and wanting three analytical perspectives at once without external lookups or live data connections.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, dataset_group, processed_rows, duration_seconds) cause validation failure
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range cause validation error
- Empty rows array returns error
- Invalid field enum value (not 'processed_rows' or 'duration_seconds') causes rejection

## How this service works

Transformation throughput — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied transformation throughput records (processed_rows, duration_seconds). 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 reports: (1) a record quality audit indicating completeness, validity, and consistency issues per row; (2) an exact row deduplication report identifying duplicate records; (3) IQR-based outlier flags marking statistically anomalous values in the selected numeric field (processed_rows or duration_seconds). All computed locally 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-quality-audit-deduplication-iqr-fb5d149c/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)