# Transformation Throughput Analytics: Exact Row Deduplication + Two-Measure Correlation

> Transformation Throughput Analytics: Exact Row Deduplication + 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 2026-10-28).

Deduplicates exact rows and computes a correlation between processed_rows and duration_seconds for up to 200 transformation throughput records, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-050?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-exact-row-deduplication-two-c3f4cea3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_g0ynMTN-yL6rNYaLcnxXT

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-two-c3f4cea3 -d '<json body>'
```

Example prompt: I have a batch of ETL throughput records — each with a row ID, dataset group, date, number of processed rows, and duration in seconds — and I need two things: remove any exact duplicate rows, and tell me the correlation between processed_rows and duration_seconds. Can you run both analyses on my dataset of up to 200 records?

## When to prefer this

Choose this endpoint when you have transformation throughput records (processed_rows + duration_seconds per job run) and need both data deduplication and correlation analysis in a single call at low cost. It is purpose-built for ETL/pipeline analytics use cases with up to 200 rows, returning two bundled reports with no external lookups or predictions. Prefer alternatives if you need more than 200 rows, live data enrichment, grouped summaries, or analyses beyond deduplication and correlation.

## Known failure modes

- Input array is empty or missing — validation error returned
- More than 200 rows supplied — rejected with max items exceeded error
- Row missing required fields (row_id, date, processed_rows, duration_seconds) — schema validation failure
- Date field does not match YYYY-MM-DD pattern — format error
- processed_rows or duration_seconds values outside allowed numeric range — range validation error
- Insufficient non-null numeric data to compute correlation — correlation report may return null or undefined result

## How this service works

Transformation throughput — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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 reports: (1) an exact row deduplication report identifying and removing fully duplicate records from the input, and (2) a two-measure correlation analysis quantifying the statistical relationship between processed_rows and duration_seconds across the supplied records.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-analytics-exact-row-deduplication-two-c3f4cea3/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)