# Transformation Throughput Analytics: Daily Sum Series + Weighted Mean

> Transformation Throughput Analytics: Daily Sum Series + 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 2026-10-28).

Computes a daily sum time series and a secondary-measure weighted mean for transformation throughput records (processed_rows, duration_seconds) over up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-142?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-daily-sum-series-weighted-mean-329da845
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2GGGmg0yl15mFRXWb02fp

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-daily-sum-series-weighted-mean-329da845 -d '<json body>'
```

Example prompt: I have up to 200 rows of transformation throughput records with dates, dataset groups, processed_rows, and duration_seconds — can you compute the daily sum series and the secondary-measure weighted mean for the processed_rows field?

## When to prefer this

Choose this endpoint when you need a fast, self-contained computation of daily aggregated throughput metrics (sum time series + weighted mean) from your own supplied records, without requiring any external data source, live lookup, or ML prediction. Ideal for data engineers who want quick statistical summaries of pipeline performance logs (up to 200 rows) at low cost ($0.01 USDC for both reports).

## Known failure modes

- Fewer than 1 row or more than 200 rows supplied — request rejected
- Missing required fields (row_id, date, processed_rows, duration_seconds) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — parsing failure
- Null values in both primary and secondary measure fields making weighted mean undefined
- Field enum value not one of 'processed_rows' or 'duration_seconds' — rejected

## How this service works

Transformation throughput — Daily sum series + Secondary-measure weighted mean: Daily sum series + 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) a daily sum time series for the selected field (processed_rows or duration_seconds) across all supplied rows, and (2) a secondary-measure weighted mean computed using the other field as the weight. Results are derived entirely from the supplied data using local analytical engines — no external lookups or predictions are made.

## 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-daily-sum-series-weighted-mean-329da845/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)