# Transformation Throughput Analytics — Numeric Row Ordering + Daily Sum Series

> Transformation Throughput Analytics — Numeric Row Ordering + Daily Sum 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).

Generates two analytical reports (numeric row ordering and daily sum series) for transformation throughput data including processed_rows and duration_seconds fields, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-114?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-daily-sum-437faf6b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_P3Jj_bd5oV2ezK0RHWaTV

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-daily-sum-437faf6b -d '<json body>'
```

Example prompt: Rank these transformation records by processed_rows and also give me a daily sum series — I have 4 rows: row-1 on 2026-10-01 group-a with 10 processed_rows and 1 duration_second, row-2 on 2026-10-02 group-b with 20 rows and 2 seconds, row-3 on 2026-10-03 group-a with 15 rows and 3 seconds, row-4 on 2026-10-04 group-b with 30 rows and 4 seconds.

## When to prefer this

Choose this endpoint when you need two complementary analytical views — ranked row ordering and daily aggregated totals — on transformation throughput data (processed_rows or duration_seconds) in a single low-cost call. Ideal for ETL pipeline monitoring, data engineering teams reviewing job performance, or any scenario where you have up to 200 timestamped throughput records and want both individual record rankings and day-level summaries without building your own analytics stack.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — exceeds maximum item limit
- Invalid date format (must be YYYY-MM-DD pattern)
- Missing required fields: row_id, dataset_group, date, processed_rows, or duration_seconds
- Invalid field enum value — must be 'processed_rows' or 'duration_seconds'
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Payment failure — 0.01 USDC required per call

## How this service works

Transformation throughput — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum 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 independent analytical reports: (1) a numeric row ordering that ranks the supplied transformation records by the chosen field (processed_rows or duration_seconds), and (2) a daily sum series that aggregates the chosen metric by date across all supplied rows. Both reports are computed locally with no external data or predictions.

## 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-daily-sum-437faf6b/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)