# Transformation Throughput Analytics — Numeric Row Ordering + Secondary-Measure Weighted Mean

> Transformation Throughput Analytics — Numeric Row Ordering + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Ranks transformation throughput records by a chosen numeric field and computes a secondary-measure weighted mean, delivering two analytical reports for up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-121?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transformation-throughput-analytics-numeric-row-ordering-secondary-ab4d194d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lrpeMgTzOTA3E8fTMauUx

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-secondary-ab4d194d -d '<json body>'
```

Example prompt: Rank these transformation throughput records by processed_rows and compute the weighted mean of duration_seconds — I have 4 records: row-1 (group-a, 2026-10-01, 10 rows, 1s), row-2 (group-b, 2026-10-02, 20 rows, 2s), row-3 (group-a, 2026-10-03, 15 rows, 3s), row-4 (group-b, 2026-10-04, 30 rows, 4s).

## When to prefer this

Choose this endpoint when you have up to 200 transformation throughput records (with processed_rows and duration_seconds) and need both a numeric ranking and a weighted mean in a single API call. Prefer it over generic stats libraries when you want a pre-packaged, pay-per-call analytical report without setting up local computation infrastructure. It is not suitable for live data lookups, predictions, or datasets exceeding 200 rows.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, processed_rows, duration_seconds) cause schema validation failure
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- Null values in both numeric fields may produce undefined weighted mean
- field enum value not one of 'processed_rows' or 'duration_seconds' causes rejection
- Payment not included or insufficient USDC causes x402 payment-required error

## How this service works

Transformation throughput — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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) the supplied rows ordered by the chosen numeric field (processed_rows or duration_seconds), and (2) a weighted mean of the secondary measure computed from the supplied data. No external data is fetched; all computation is performed on the submitted rows.

## 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-secondary-ab4d194d/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)