# Transformation Throughput Analytics — Exact Row Deduplication + Secondary-Measure Weighted Mean

> Transformation Throughput Analytics — Exact Row Deduplication + 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 2026-10-19).

Deduplicates transformation throughput records and computes a secondary-measure weighted mean on processed_rows and duration_seconds data, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-051?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transformation-throughput-analytics-exact-row-deduplication-secondary-20349267
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SZTvS8YeGkebSCPt7qiYE

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-exact-row-deduplication-secondary-20349267 -d '<json body>'
```

Example prompt: Can you deduplicate these transformation throughput records and compute the weighted mean for processed_rows? I have 50 rows across two dataset groups with row IDs, dates, processed_rows, and duration_seconds — I need both the deduplication report and the weighted average.

## When to prefer this

Choose this endpoint when you need both exact row deduplication and a secondary-measure weighted mean computed together in a single call on transformation throughput data (processed_rows, duration_seconds). Ideal for ETL pipeline audits, data engineering reporting, and batch processing analytics where you have up to 200 structured throughput records and need two distinct analytical outputs at very low cost ($0.01 USDC per call). Not suitable for live data lookups, predictions, or datasets exceeding 200 rows.

## Known failure modes

- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, date, dataset_group, processed_rows, duration_seconds) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — rejected
- Empty rows array — minimum 1 item required
- All rows are null for the selected field — weighted mean may be undefined

## How this service works

Transformation throughput — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + 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 analytical reports: (1) a deduplicated set of transformation throughput records with exact duplicate rows removed, and (2) a secondary-measure weighted mean computed over the specified field (processed_rows or duration_seconds), both derived from the supplied input data using local analytical engines without any 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-exact-row-deduplication-secondary-20349267/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)