# Transformation Throughput Analytics: Record Quality Audit + Exact Row Deduplication + Trailing Mean Series

> Transformation Throughput Analytics: Record Quality Audit + Exact Row Deduplication + Trailing Mean 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).

Runs three local analytical reports on transformation throughput data (processed_rows, duration_seconds): data quality audit, exact duplicate row detection, and trailing moving average series.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-216?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-record-quality-audit-exact-row-26351fc8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_e00zF7EOiXNU_soP2yTRL

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-record-quality-audit-exact-row-26351fc8 -d '<json body>'
```

Example prompt: Can you audit the quality of my transformation throughput records, find any exact duplicate rows, and compute a trailing mean for processed_rows with a window of 3? Here are my records: row-1 on 2026-10-01 in group-a had 10 processed_rows in 1 second, row-2 on 2026-10-02 in group-b had 20 processed_rows in 2 seconds, row-3 on 2026-10-03 in group-a had 15 processed_rows in 3 seconds.

## When to prefer this

Choose this endpoint when you need three bundled analytical operations — data quality audit, exact deduplication, and rolling mean — on transformation throughput records in a single cost-efficient call ($0.01 USDC for all three reports). Ideal for ETL monitoring, pipeline QA, and batch analytics workflows where data stays local and no external lookup or prediction is needed. Prefer this over separate analytics calls when your dataset is under 200 rows and you want consolidated throughput reporting.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, dataset_group) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Window size larger than number of input rows may produce empty or partial trailing mean series
- Null values in processed_rows or duration_seconds may affect trailing mean computation
- Fewer than 1 row submitted returns an error

## How this service works

Transformation throughput — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series 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 identifying missing values, anomalies, or invalid fields; (2) an exact row deduplication report listing duplicate entries found in the input; and (3) a trailing mean time series for the selected field (processed_rows or duration_seconds) computed over the specified window size. 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-analytics-record-quality-audit-exact-row-26351fc8/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)