# Transformation Throughput Analytics — Exact Row Deduplication + Base-100 Series

> Transformation Throughput Analytics — Exact Row Deduplication + Base-100 Series 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 transformation throughput records and generates a Base-100 indexed time series for processed_rows or duration_seconds metrics, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-047?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-base-100-0692edfc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DP0XciAqVr56xT6Ob7XBG

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-base-100-0692edfc -d '<json body>'
```

Example prompt: Deduplicate my transformation throughput records and generate a Base-100 index series for processed_rows starting from row index 0 — here are my rows with row_id, dataset_group, date, processed_rows, and duration_seconds fields.

## When to prefer this

Choose this endpoint when you need both exact duplicate removal and Base-100 normalization of transformation throughput data (processed_rows or duration_seconds) in a single call, without requiring live data lookup or external enrichment. Ideal for data engineering teams auditing ETL pipeline logs or benchmarking relative throughput trends across dataset groups with up to 200 records.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, processed_rows, duration_seconds) cause validation errors
- base_index out of bounds (must be 0–199 and within actual row count)
- date strings not matching YYYY-MM-DD pattern rejected
- Null values in the selected metric field may affect Base-100 series calculation
- Duplicate row_id values may produce unexpected deduplication behavior

## How this service works

Transformation throughput — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series 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-deduplicated version of the supplied transformation throughput records, and (2) a Base-100 indexed time series for the selected metric field (processed_rows or duration_seconds), anchored at the specified base_index row. No external data is fetched; all analysis runs on the supplied rows only.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-analytics-exact-row-deduplication-base-100-0692edfc/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)