# Transformation Throughput Analytics — Numeric Row Ordering + Adjacent Row Changes

> Transformation Throughput Analytics — Numeric Row Ordering + Adjacent Row Changes 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).

Analyzes transformation throughput records by computing numeric row ordering and adjacent row changes for processed_rows or duration_seconds fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-116?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-numeric-row-ordering-adjacent-row-07e2845f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Rj88yvyG_ZU2FKSv_6yfO

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-numeric-row-ordering-adjacent-row-07e2845f -d '<json body>'
```

Example prompt: I have a list of ETL pipeline runs with dates, dataset groups, processed_rows, and duration_seconds — can you rank them numerically by processed_rows and also show me the adjacent row-to-row changes between consecutive entries? I have about 20 rows across two groups.

## When to prefer this

Choose this endpoint when you need both a ranked ordering and consecutive-row delta analysis on transformation throughput data (processed_rows or duration_seconds) for up to 200 records in a single cost-efficient call. It is ideal for data engineers monitoring ETL pipeline performance trends without needing live lookups, predictions, or external integrations.

## Known failure modes

- Exceeding 200 rows causes rejection
- Missing required fields (row_id, date, processed_rows, duration_seconds) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure
- Null values in the selected field may affect ordering and delta computation
- Invalid field enum value (not processed_rows or duration_seconds) causes error
- Empty rows array is rejected
- Payment not included or insufficient USDC causes 402 response

## How this service works

Transformation throughput — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes 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) numeric row ordering — rows ranked by the selected field (processed_rows or duration_seconds), and (2) adjacent row changes — differences between each consecutive row for the selected field, enabling trend and delta analysis across the supplied transformation throughput 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
  },
  "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-numeric-row-ordering-adjacent-row-07e2845f/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)